Google DeepMind - Knowledge

257: 5979: 3646: 1144:, making it different from the AI technologies then on the market. The data fed into the AlphaGo algorithm consisted of various moves based on historical tournament data. The number of moves was increased gradually until over 30 million of them were processed. The aim was to have the system mimic the human player, as represented by the input data, and eventually become better. It played against itself and learned from the outcomes; thus, it learned to improve itself over the time and increased its winning rate as a result. 1212:. AlphaStar used reinforcement learning based on replays from human players, and then played against itself to enhance its skills. At the time of the presentation, AlphaStar had knowledge equivalent to 200 years of playing time. It won 10 consecutive matches against two professional players, although it had the unfair advantage of being able to see the entire field, unlike a human player who has to move the camera manually. A preliminary version in which that advantage was fixed lost a subsequent match. 1486:. This deep neural network helps researchers restore the empty text of damaged Greek documents, and to identify their date and geographical origin. The work builds on another text analysis network that DeepMind released in 2019, named Pythia. Ithaca achieves 62% accuracy in restoring damaged texts and 71% location accuracy, and has a dating precision of 30 years. The authors claimed that the use of Ithaca by "expert historians" raised the accuracy of their work from 25 to 72 percent. However, 835: 1800:

shortcomings in how the data was handled, including that patients were not adequately informed that their data would be used as part of the test. DeepMind published its thoughts on the investigation in July 2017, saying "we need to do better" and highlighting several activities and initiatives they had initiated for transparency, oversight and engagement. This included developing a patient and public involvement strategy and being transparent in its partnerships.

13312: 12883: 11939: 11500: 6423: 787:. AI was introduced to one game at a time, without any prior knowledge of its rules. After spending some time on learning the game, AI would eventually become an expert in it. "The cognitive processes which the AI goes through are said to be very like those of a human who had never seen the game would use to understand and attempt to master it." The goal of the founders is to create a general-purpose AI that can be useful and effective for almost anything. 11969: 12863: 40: 1423:

SIMA demonstrated adaptability to new tasks and settings without requiring access to game source code or APIs. The agent comprises pre-trained computer vision and language models fine-tuned on gaming data, with language being crucial for understanding and completing given tasks as instructed. DeepMind's research aimed to develop more helpful AI agents by translating advanced AI capabilities into real-world actions through a language interface.

11959: 849: 1466:, often referred to as soccer in North America, modelling the behaviour of football players, including the goalkeeper, defenders, and strikers during different scenarios such as penalty kicks. The researchers used heat maps and cluster analysis to organize players based on their tendency to behave a certain way during the game when confronted with a decision on how to score or prevent the other team from scoring. 11949: 6433: 1769:. The latter operates three London hospitals where an estimated 1.6 million patients are treated annually. The agreement shows DeepMind Health had access to admissions, discharge and transfer data, accident and emergency, pathology and radiology, and critical care at these hospitals. This included personal details such as whether patients had been diagnosed with 1811:, revealing that in her "considered opinion" the data-sharing agreement between DeepMind and the Royal Free took place on an "inappropriate legal basis". The Information Commissioner's Office ruled in July 2017 that the Royal Free hospital failed to comply with the Data Protection Act when it handed over personal data of 1.6 million patients to DeepMind. 1263:. In 2020, in the 14th CASP, AlphaFold's predictions achieved an accuracy score regarded as comparable with lab techniques. Dr Andriy Kryshtafovych, one of the panel of scientific adjudicators, described the achievement as "truly remarkable", and said the problem of predicting how proteins fold had been "largely solved". 1160:

to evaluate positions and sample moves. A new reinforcement learning algorithm incorporated lookahead search inside the training loop. AlphaGo Zero employed around 15 people and millions in computing resources. Ultimately, it needed much less computing power than AlphaGo, running on four specialized AI processors (Google

1642:, discovered a more efficient way of coding a sorting algorithm and a hashing algorithm. The new sorting algorithm was 70% faster for shorter sequences and 1.7% faster for sequences exceeding 250,000 elements, and the new hashing algorithm was 30% faster in some cases. The sorting algorithm was accepted into the 1747:. Privacy advocates said the announcement betrayed patient trust and appeared to contradict previous statements by DeepMind that patient data would not be connected to Google accounts or services. A spokesman for DeepMind said that patient data would still be kept separate from Google services or projects. 1082:(out of 9 dan possible) professional, five to zero. This was the first time an artificial intelligence (AI) defeated a professional Go player. Previously, computers were only known to have played Go at "amateur" level. Go is considered much more difficult for computers to win compared to other games like 1674:

Pie, the ninth installment of Google's mobile operating system. These features, Adaptive Battery and Adaptive Brightness, use machine learning to conserve energy and make devices running the operating system easier to use. It is the first time DeepMind has used these techniques on such a small scale,

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board. The ethics board for AI research remains a mystery, with both Google and DeepMind declining to reveal who sits on the board. DeepMind has opened a new unit called DeepMind Ethics and Society and focused on the ethical and societal questions raised by artificial intelligence featuring prominent

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In 2017, the ICO concluded a year-long investigation that focused on how the Royal Free NHS Foundation Trust tested the app, Streams, in late 2015 and 2016. The ICO found that the Royal Free failed to comply with the Data Protection Act when it provided patient details to DeepMind, and found several

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In March 2024, DeepMind introduced Scalable Instructable Multiword Agent, or SIMA, an AI agent capable of understanding and following natural language instructions to complete tasks across various 3D virtual environments. Trained on nine video games from eight studios and four research environments,

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In contrast, AlphaGo Zero was trained without being fed data of human-played games. Instead it generated its own data, playing millions of games against itself. It used a single neural network, rather than separate policy and value networks. Its simplified tree search relied upon this neural network

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In November 2023, Google DeepMind announced an Open Source Graph Network for Materials Exploration (GNoME). The tool proposes millions of materials previously unknown to chemistry, including several hundred thousand stable crystalline structures, of which 736 had been experimentally produced by the

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for protein folding algorithms, although each individual prediction still requires confirmation by experimental tests. AlphaFold3 was released in May 2024, making structural predictions for the interaction of proteins with various molecules. It achieved new standards on various benchmarks, raising

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Gemma is a family of lightweight, open source, large language models which was released on 21 February 2024. It's available in two distinct sizes: a 7 billion parameter model optimized for GPU and TPU usage, and a 2 billion parameter model designed for CPU and on-device applications. Gemma models

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The researchers mention that machine learning models could be used to democratize the football industry by automatically selecting interesting video clips of the game that serve as highlights. This can be done by searching videos for certain events, which is possible because video analysis is an

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model. It was trained on 604 tasks, such as image captioning, dialogue, or stacking blocks. On 450 of these tasks, Gato outperformed human experts at least half of the time, according to DeepMind. Unlike models like MuZero, Gato does not need to be retrained to switch from one task to the other.

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In October 2017, DeepMind announced a new research unit, DeepMind Ethics & Society. Their goal is to fund external research of the following themes: privacy, transparency, and fairness; economic impacts; governance and accountability; managing AI risk; AI morality and values; and how AI can

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were reported as saying in December 2017 that access to patient data through the app had saved a 'huge amount of time' and made a 'phenomenal' difference to the management of patients with acute kidney injury. Test result data is sent to staff's mobile phones and alerts them to changes in the

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of geometrical proofs. When the symbolic engine doesn't manage to find a formal and rigorous proof on its own, it solicits the large language model, which suggests a geometrical construct to move forward. However, it is unclear how applicable this method is to other domains of mathematics or

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was an early investor and an adviser to the company. On 26 January 2014, Google confirmed its acquisition of DeepMind for a price reportedly ranging between $ 400 million and $ 650 million. and that it had agreed to take over DeepMind Technologies. The sale to Google took place after

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of 20 other widely studied organisms. The structures were released on the AlphaFold Protein Structure Database. In July 2022, it was announced that the predictions of over 200 million proteins, representing virtually all known proteins, would be released on the AlphaFold database.

1649:, and was the first change to those algorithms in more than a decade and the first update to involve an algorithm discovered using AI. The hashing algorithm was released to an opensource library. Google estimates that these two algorithms are used trillions of times every day. 3465: 1522:, GNoME did not make "a useful, practical contribution to the experimental materials scientists." A review article by Cheetham and Ram Seshadri were unable to identify any "strikingly novel" materials found by GNoME, with most being minor variants of already-known materials. 768:

Demis Hassabis has said that the start-up began working on artificial intelligence technology by teaching it how to play old games from the seventies and eighties, which are relatively primitive compared to the ones that are available today. Some of those games included

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Google has stated that DeepMind algorithms have greatly increased the efficiency of cooling its data centers by automatically balancing the cost of hardware failures against the cost of cooling. In addition, DeepMind (alongside other Alphabet AI researchers) assists

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established field of machine learning. This is also possible because of extensive sports analytics based on data including annotated passes or shots, sensors that capture data about the players movements many times over the course of a game, and game theory models.

1257:(CASP) by successfully predicting the most accurate structure for 25 out of 43 proteins. "This is a lighthouse project, our first major investment in terms of people and resources into a fundamental, very important, real-world scientific problem," Hassabis said to 1266:

In July 2021, the open-source RoseTTAFold and AlphaFold2 were released to allow scientists to run their own versions of the tools. A week later DeepMind announced that AlphaFold had completed its prediction of nearly all human proteins as well as the entire

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Mandhane, Amol; Zhernov, Anton; Rauh, Maribeth; Gu, Chenjie; Wang, Miaosen; Xue, Flora; Shang, Wendy; Pang, Derek; Claus, Rene; Chiang, Ching-Han; Chen, Cheng (14 February 2022). "MuZero with Self-competition for Rate Control in VP9 Video Compression".

3330: 1620:. At the 2024 International Mathematical Olympiad, AlphaProof together with an adapted version of AlphaGeometry have reached the same level of solving problems in the combined categories as a silver medalist in that competition for the first time. 1738:

in an attempt to use machine learning to predict the onset of acute kidney injury in patients, and also more broadly the general deterioration of patients during a hospital stay so that doctors and nurses can more quickly treat patients in need.

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AlphaProof is an AI model, which couples a pre-trained language model with the AlphaZero reinforcement learning algorithm. AlphaZero has previously taught itself how to master games. The pre-trained language model used in this combination is the

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model to automatically translate natural language problem statements into formal statements, creating a large library of formal problems of varying difficulty. For this purpose, mathematical statements are defined in the formal language

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AlphaGo used two deep neural networks: a policy network to evaluate move probabilities and a value network to assess positions. The policy network trained via supervised learning, and was subsequently refined by policy-gradient

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DeepMind developed an app called Streams, which sends alerts to doctors about patients at risk of acute kidney injury. On 13 November 2018, DeepMind announced that its health division and the Streams app would be absorbed into

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Stimberg, Florian; Narest, Alex; Bazzica, Alessio; Kolmodin, Lennart; Barrera Gonzalez, Pablo; Sharonova, Olga; Lundin, Henrik; Walters, Thomas C. (1 November 2020). "WaveNetEQ — Packet Loss Concealment with WaveRNN".

728:. In July 2022, it was announced that over 200 million predicted protein structures, representing virtually all known proteins, would be released on the AlphaFold database. AlphaFold's database of predictions achieved 1164:), instead of AlphaGo's 48. It also required less training time, being able to beat its predecessor after just three days, compared with months required for the original AlphaGo. Similarly, AlphaZero also learned via 3463:

Schrittwieser, Julian; Antonoglou, Ioannis; Hubert, Thomas; Simonyan, Karen; Sifre, Laurent; Schmitt, Simon; Guez, Arthur; Lockhart, Edward; Hassabis, Demis; Graepel, Thore; Lillicrap, Timothy (23 December 2020).

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entries, where only the evenness or oddness of the entries is recorded, AlphaTensor found an algorithm requiring only 47 distinct multiplications; the previous optimum, known since 1969, was the more general

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Centre at Imperial College London with the goal of improving breast cancer detection by applying machine learning to mammography. Additionally, in February 2018, DeepMind announced it was working with the

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In 2020, DeepMind published Agent57, an AI Agent which surpasses human level performance on all 57 games of the Atari 2600 suite. In July 2022, DeepMind announced the development of DeepNash, a model-free

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Adrià Puigdomènech Badia; Piot, Bilal; Kapturowski, Steven; Sprechmann, Pablo; Vitvitskyi, Alex; Guo, Daniel; Blundell, Charles (30 March 2020). "Agent57: Outperforming the Atari Human Benchmark".

2811: 4334: 1183:. The goal of MuZero is to optimally compress the video so the quality of the video is maintained with a reduction in data. The final result using MuZero was a 6.28% average reduction in bitrate. 1156:, using the policy network to identify candidate high-probability moves, while the value network (in conjunction with Monte Carlo rollouts using a fast rollout policy) evaluated tree positions. 12929: 2275:; Hubert, Thomas; Schrittwieser, Julian; Antonoglou, Ioannis; Lai, Matthew; Guez, Arthur; Lanctot, Marc; Sifre, Laurent; Kumaran, Dharshan; Graepel, Thore; Lillicrap, Timothy; Simonyan, Karen; 3210:

Mnih, Volodymyr; Kavukcuoglu, Koray; Silver, David; Graves, Alex; Antonoglou, Ioannis; Wierstra, Daan; Riedmiller, Martin (19 December 2013). "Playing Atari with Deep Reinforcement Learning".

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Mnih, Volodymyr; Kavukcuoglu, Koray; Silver, David; Graves, Alex; Antonoglou, Ioannis; Wierstra, Daan; Riedmiller, Martin (12 December 2013). "Playing Atari with Deep Reinforcement Learning".

1856: 1299:. In 2018 Google launched a commercial text-to-speech product, Cloud Text-to-Speech, based on WaveNet. In 2018, DeepMind introduced a more efficient model called WaveRNN co-developed with 5223: 1338:

DeepMind posted a blog post on 28 April 2022 on a single visual language model (VLM) named Flamingo that can accurately describe a picture of something with just a few training images.

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and avoiding undesirable behaviour during the AI learning process. In 2017 DeepMind released GridWorld, an open-source testbed for evaluating whether an algorithm learns to disable its

1254: 5689: 5569: 3371: 3331:"Deepmind AI Researchers Introduce 'DeepNash', An Autonomous Agent Trained With Model-Free Multiagent Reinforcement Learning That Learns To Play The Game Of Stratego At Expert Level" 11286: 4748:

Tuyls, Karl; Omidshafiei, Shayegan; Muller, Paul; Wang, Zhe; Connor, Jerome; Hennes, Daniel; Graham, Ian; Spearman, William; Waskett, Tim; Steel, Dafydd; Luc, Pauline (6 May 2021).

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This new subdivision of DeepMind is a completely separate unit from the partnership of leading companies using AI, academia, civil society organizations and nonprofits of the name

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In July 2019, AlphaStar began playing against random humans on the public 1v1 European multiplayer ladder. Unlike the first iteration of AlphaStar, which played only

1303:. In 2020 WaveNetEQ, a packet loss concealment method based on a WaveRNN architecture, was presented. In 2019, Google started to roll WaveRNN with WavenetEQ out to 3537: 2928: 2024: 1275:

The most recent update, AlphaFold3, was released in May 2024, predicting the interactions of proteins with DNA, RNA, and various other molecules. In a particular

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address the world's challenges. As a result, the team hopes to further understand the ethical implications of AI and aid society to seeing AI can be beneficial.

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v. Protoss, this one played as all of the game's races, and had earlier unfair advantages fixed. By October 2019, AlphaStar had reached Grandmaster level on the

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system. It was originally too computationally intensive for use in consumer products, but in late 2017 it became ready for use in consumer applications such as

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Researchers applied MuZero to solve the real world challenge of video compression with a set number of bits with respect to Internet traffic on sites such as

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reportedly ended negotiations with DeepMind Technologies in 2013. The company was afterwards renamed Google DeepMind and kept that name for about two years.

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called it "a little overhyped" despite also acknowledging its basis in reinforcement learning as "something completely different" from previous approaches.

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Released in June 2023, RoboCat is an AI model that can control robotic arms. The model can adapt to new models of robotic arms, and to new types of tasks.

967:, which were developed for a pre-defined purpose and only function within that scope, DeepMind's initial algorithms were intended to be general. They used 4308: 2819: 13067: 4222: 3882: 2964: 1793: 1706:

was announced with the aim of developing an algorithm that can automatically differentiate between healthy and cancerous tissues in head and neck areas.

1152:. The value network learned to predict winners of games played by the policy network against itself. After training, these networks employed a lookahead 12005: 5481: 3909: 1589:

to generate rigorous proofs, which makes them lack flexibility in unusual situations. AlphaGeometry combines such a symbolic engine with a specialized

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noted that this test was actually only made of students, saying that it wasn't clear how helpful Ithaca would be to "genuinely qualified editors."

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were trained on up to 6 trillion tokens of text, employing similar architectures, datasets, and training methodologies as the Gemini model family.

4838: 7491: 4519: 2611: 3660: 1395:. Gemini comes in 3 sizes: Nano, Pro, and Ultra. Gemini is also the name of the chatbot that integrates Gemini (and which was previously called 13344: 13102: 1987: 5592: 5215: 2988: 13339: 13286: 13266: 7471: 3021:

Amodei, Dario; Olah, Chris; Steinhardt, Jacob; Christiano, Paul; Schulman, John; Mané, Dan (21 June 2016). "Concrete Problems in AI Safety".

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data and Codeforce problems and solutions. The program was required to come up with a unique solution and stopped from duplicating answers.

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on the problem of DNA interactions, AlphaFold3's attained an accuracy of 65%, significantly improving the previous state of the art of 28%.

8966: 6516: 5612: 5507: 1735: 1165: 636: 2563: 2378: 11717: 11192: 4959: 3991: 403: 368: 4147: 11830: 11330: 4465: 3829: 1022:. This work reportedly led to the company's acquisition by Google. DeepMind's AI had been applied to video games made in the 1970s and 5913: 4431: 2860: 880:

In December 2019, co-founder Suleyman announced he would be leaving DeepMind to join Google, working in a policy role. In March 2024,

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patient's condition. It also enables staff to see if someone else has responded, and to show patients their results in visual form.

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published a further article claiming that the project had failed to secure approval from the Confidentiality Advisory Group of the

1117:, a modified version of AlphaGo Zero, gained superhuman abilities at chess and shogi. In 2019, DeepMind released a new model named 467: 445: 3784: 2685:

Mnih, Volodymyr; Kavukcuoglu, Koray; Silver, David (26 February 2015). "Human-level control through deep reinforcement learning".

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at a rate comparable to that of an average programmer, with the company testing the system against coding challenges created by

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of which DeepMind is also a part. The DeepMind Ethics and Society board is also distinct from the mooted AI Ethics Board that

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developed by DeepMind to build safer machine learning systems by using a mix of human feedback and Google search suggestions.

13354: 4335:"Deepmind Introduces 'Sparrow,' An Artificial Intelligence-Powered Chatbot Developed To Build Safer Machine Learning Systems" 4265: 2016: 1714: 1688: 600: 526: 480: 435: 430: 4377: 12788: 11321: 7562: 6469: 4863:

Merchant, Amil; Batzner, Simon; Schoenholz, Samuel S.; Aykol, Muratahan; Cheon, Gowoon; Cubuk, Ekin Dogus (December 2023).

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division to form Google DeepMind, as part of the company's continued efforts to accelerate work on AI in response to

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competitions. AlphaCode earned a rank equivalent to 54% of the median score on Codeforces after being trained on

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reasoning, because symbolic engines rely on domain-specific rules and because of the need for synthetic data.

12376: 12065: 11338: 8597: 8297: 8268: 7867: 7647: 4091: 4071: 2279:(5 December 2017). "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm". 1553: 823: 5396: 4355: 4281: 971:, an algorithm that learns from experience using only raw pixels as data input. Their initial approach used 13359: 13293: 13153: 13082: 12818: 12215: 12172: 12125: 12120: 11972: 11795: 11784: 11624: 11402: 11100: 10193: 9521: 9054: 7784: 7642: 7572: 7309: 7070: 6861: 6586: 5654: 1988:"Deepmind Holdings Limited persons with significant control - Find and update company information - GOV.UK" 1246: 976: 931:

As of 2020, DeepMind has published over a thousand papers, including thirteen papers that were accepted by

721: 3069:"Alphabet's DeepMind Is Using Games to Discover If Artificial Intelligence Can Break Free and Kill Us All" 865:

signed their initial information sharing agreement to co-develop a clinical task management app, Streams.

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United States v. Adobe Systems, Inc., Apple Inc., Google Inc., Intel Corporation, Intuit, Inc., and Pixar

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In 2013, DeepMind published research on an AI system that surpassed human abilities in games such as

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as a future challenge, since it requires strategic thinking and handling imperfect information.

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in September 2010. Hassabis and Legg first met at the Gatsby Computational Neuroscience Unit at

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with typical machine learning applications requiring orders of magnitude more computing power.

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for the creation of two new features which were made available to people with devices running

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In January 2019, DeepMind introduced AlphaStar, a program playing the real-time strategy game

1109:, who had been the world's highest-ranked player for two years. In 2017, an improved version, 12966: 12828: 12813: 12778: 12466: 12366: 12234: 11662: 11467: 11416: 11354: 10560: 10347: 10274: 9375: 9148: 9080: 8895: 8535: 8425: 8199: 8187: 8059: 7857: 7324: 7314: 7197: 7120: 7115: 6617: 6581: 6313: 6124: 5219: 5089: 2169: 1276: 1106: 1011: 1003: 991: 922:

In July 2018, researchers from DeepMind trained one of its systems to play the computer game

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as advisor. In October 2017, DeepMind launched a new research team to investigate AI ethics.

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search, 1842 published news stories mentioned DeepMind in 2016, declining to 1363 in 2019.

300: 174: 3937: 1936:"DeepMind Technologies Limited – Overview (free company information from Companies House)" 1539:, which used reinforcement learning techniques similar to those in AlphaGo, to find novel 8: 13272: 12423: 12401: 12150: 12145: 12103: 12055: 11009: 10422: 10136: 10125: 10020: 9912: 9901: 9684: 9603: 9484: 9457: 9061: 8842: 8313: 8091: 7513: 7402: 7370: 7228: 7192: 6983: 6966: 6961: 6912: 6455: 6388: 5978: 5736: 4749: 1722: 1518:

Massachusetts Institute of Technology, at the time of the release. However, according to

1435: 1377: 1315: 1102: 1007: 452: 5190:"AI achieves silver-medal standard solving International Mathematical Olympiad problems" 5164:"AI achieves silver-medal standard solving International Mathematical Olympiad problems" 5012: 4983: 4907: 4880: 4864: 4030: 3606: 3491: 2698: 2202: 12808: 12386: 11802: 11153: 11138: 10316: 10310: 10293: 9761: 9741: 9674: 9436: 9364: 9345: 9074: 9030: 8654: 8577: 8478: 8462: 8236: 8175: 8054: 7882: 7872: 7715: 6693: 5997: 5062: 4789: 4761: 4410: 4356:"What Is Chinchilla AI: Chatbot Language Model Rival By Deepmind To GPT-3 - Dataconomy" 4257: 4052: 3883:"AlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning" 3764: 3634: 3519: 3477: 3258: 3211: 3139: 3022: 2929:"Mustafa Suleyman, DeepMind and Inflection Co-founder, joins Microsoft to lead Copilot" 2718: 2280: 2230: 2138: 1915: 1730: 1692: 1549: 1494: 1087: 1028: 972: 502: 4567: 4223:"Using WaveNet technology to reunite speech-impaired users with their original voices" 1935: 884:

appointed him as the EVP and CEO of its newly created consumer AI unit, Microsoft AI.

13238: 13213: 13031: 12874: 12862: 12666: 12318: 12189: 12182: 11962: 11710: 11609: 11201: 11125: 10686: 10632: 10537: 10304: 10299: 10168: 10093: 9804: 9716: 9698: 9538: 9400: 9380: 9338: 9201: 8888: 8877: 8872: 8790: 8659: 8638: 8410: 8354: 8339: 8110: 8042: 7961: 7934: 7692: 7567: 7413: 7270: 7243: 7077: 6942: 6840: 6494: 6077: 5066: 5054: 5036: 5017: 4912: 4894: 4793: 4781: 4476: 4261: 4056: 4044: 3638: 3626: 3618: 3523: 3511: 3503: 3111:"Why the buzz around DeepMind is dissipating as it transitions from games to science" 2722: 2710: 2636: 2301: 2234: 2222: 2214: 1867: 1824: 1646: 1586: 1571: 1498: 1479: 1347: 1250: 964: 939: 791: 663: 280: 1446:

videos beyond a minute long. As of June 2024, the model is in limited testing.

13260: 13233: 13133: 12981: 12619: 12609: 12416: 12210: 12160: 12155: 12098: 12086: 11776: 11724: 11703: 11539: 11002: 10917: 10836: 10565: 10511: 10341: 10249: 10220: 10188: 10156: 9894: 9793: 9788: 9656: 9393: 9386: 9265: 9194: 9105: 8901: 8784: 8672: 8359: 8307: 8291: 8214: 8010: 7989: 7966: 7888: 7842: 7451: 7354: 7334: 7166: 7003: 6917: 6892: 6767: 6408: 6296: 6284: 5419:"Google DeepMind announces new research partnership to fight breast cancer with AI" 5309: 5046: 5041: 5007: 4997: 4979: 4902: 4884: 4771: 4514: 4253: 4034: 3610: 3593: 3495: 2702: 2206: 2158:

Best of 2014: Google's Secretive DeepMind Startup Unveils a "Neural Turing Machine"

2039:"Deepmind Holdings Limited overview - Find and update company information - GOV.UK" 1781:

in order to conduct research to seek better outcomes in various health conditions.

1519: 1296: 1176: 933: 758: 729: 418: 353: 338: 113: 11410:

Judgement of the German Federal Court of Justice on Google's autocomplete function

5763:"Google received 1.6 million NHS patients' data on an 'inappropriate legal basis'" 5002: 4432:"DeepMind says its new AI coding engine is as good as an average human programmer" 13198: 13178: 13168: 13158: 13026: 12676: 12498: 12140: 12060: 11942: 11864: 11745: 11676: 11105: 11016: 10480: 10458: 10445: 10374: 10118: 10033: 9961: 9907: 9830: 9754: 9669: 9649: 9572: 9550: 9544: 9188: 9137: 9130: 9117: 9048: 8961: 8941: 8834: 8796: 8633: 8377: 7478: 7419: 7396: 7285: 7202: 7186: 7132: 7087: 7018: 6876: 6757: 6230: 5638: 5352: 3256: 2914: 2504: 2454:"How Google's Amazing AI Start-Up 'DeepMind' Is Making Our World A Smarter Place" 2164: 2043: 1992: 1940: 1808: 1788:(ICO), arguing that the data should be pseudonymised and encrypted. In May 2016, 1506: 1502: 1493:

The team is working on extending the model to other ancient languages, including

1311: 924: 746: 295: 7390: 5085:"DeepMind's game-playing AI has beaten a 50-year-old record in computer science" 3393:"Research Blog: AlphaGo: Mastering the ancient game of Go with Machine Learning" 3372:"Première défaite d'un professionnel du go contre une intelligence artificielle" 13021: 12706: 12671: 12661: 12486: 12244: 12070: 11891: 11823: 11648: 11577: 11555: 10890: 10885: 10469: 10416: 10321: 10225: 10215: 10106: 10009: 9991: 9941: 9918: 9837: 9736: 9582: 9566: 9557: 9532: 9498: 9412: 9406: 9324: 9238: 9111: 8997: 8992: 8987: 8974: 8505: 8344: 8334: 8285: 7743: 7434: 7385: 7280: 7218: 7172: 7127: 7037: 6971: 6922: 6851: 6777: 6737: 6142: 5329: 5050: 4889: 4839:"DeepMind's new AI model helps decipher, date, and locate ancient inscriptions" 4148:"Google is finding ways to make money from Alphabet's DeepMind A.I. technology" 4039: 4014: 3712: 3581: 3499: 3353: 2276: 2116: 1594: 1487: 1346:

In 2022, DeepMind unveiled AlphaCode, an AI-powered coding engine that creates

1292: 985: 799: 783: 750: 670: 659: 215: 142: 103: 5682:"Royal Free - Google DeepMind trial failed to comply with data protection law" 5634:"ICO probes Google DeepMind patient data-sharing deal with NHS Hospital Trust" 5216:"Google DeepMind's game-playing AI just found another way to make code faster" 3661:"The world's smartest game-playing AI—DeepMind's AlphaGo—just got way smarter" 3164: 1097:, one of the highest ranked players in the world, with a score of 4 to 1 in a 943:. DeepMind received media attention during the AlphaGo period; according to a 13328: 13228: 13173: 13143: 12651: 12631: 12548: 12227: 11567: 11550: 11440: 11143: 11090: 10987: 10982: 10619: 10548: 10528: 10433: 10399: 10368: 10183: 10060: 10055: 9972: 9852: 9819: 9798: 9589: 9577: 9423: 9318: 9303: 9245: 9154: 9124: 8951: 8820: 8778: 8510: 8493: 8436: 7847: 7380: 7149: 7064: 7013: 6993: 6955: 6881: 6802: 6797: 6699: 6683: 6678: 6666: 6650: 6612: 6489: 6290: 6190: 5931: 5791:"Royal Free breached UK data law in 1.6m patient deal with Google's DeepMind" 5659: 5617: 5597: 4898: 4785: 4480: 3622: 3507: 2218: 1852: 1757: 1744: 1565: 1432: 1322: 1074:

program called AlphaGo, developed by DeepMind, beat the European Go champion

795: 737:

the state of the art accuracies from 28 and 52 percent to 65 and 76 percent.

348: 192: 6772: 5711: 3572:; Guez, Arthur; Hubert, Thomas; Baker, Lucas; Lai, Matthew; Bolton, Adrian; 2736: 13218: 13148: 12961: 12737: 12568: 11983: 11696: 11629: 11597: 11118: 11068: 11051: 11022: 10992: 10942: 10927: 10912: 10879: 10751: 10714: 10698: 10604: 10588: 10499: 10475: 10387: 10331: 10238: 10232: 10131: 10065: 10038: 10003: 9924: 9781: 9637: 9626: 9503: 9370: 9351: 9279: 9222: 8946: 8853: 8802: 8591: 8500: 8349: 8116: 7978: 7909: 7904: 7503: 7233: 7047: 6907: 6897: 6871: 6866: 6792: 6782: 6661: 6622: 6598: 6558: 6403: 6083: 6036: 5865: 5138:"AlphaGeometry: DeepMind's AI Masters Geometry Problems at Olympiad Levels" 5058: 5021: 4916: 4076: 4048: 3914: 3630: 3515: 2714: 2541: 2226: 1762: 1478:

Google has unveiled a new archaeology document program, named Ithaca after

1259: 1208: 1110: 1057: 980: 892: 874: 811: 651:, with research centres in Canada, France, Germany, and the United States. 644: 492: 152: 4568:"Google is rebranding its Bard AI service as Gemini. Here's what it means" 3803:"DeepMind AI Challenges Pro StarCraft II Players, Wins Almost Every Match" 2017:"How Google CEO Sundar Pichai shook up his leadership team for the AI era" 1662:

personalized app recommendations. DeepMind has also collaborated with the

1462:

DeepMind researchers have applied machine learning models to the sport of

647:

division to become Google DeepMind in April 2023. The company is based in

13223: 13208: 13016: 12976: 12833: 12604: 12513: 12508: 12130: 12108: 11901: 11770: 11738: 11592: 11582: 11572: 11095: 10977: 10937: 10856: 10692: 10593: 10554: 10517: 10427: 10287: 10070: 10050: 10028: 9997: 9978: 9768: 9643: 9479: 9331: 9292: 9259: 9183: 9043: 9037: 9023: 8864: 8447: 8242: 8136: 8083: 8000: 7972: 7955: 7877: 7832: 7445: 7375: 7292: 7059: 6977: 6948: 6902: 6845: 6814: 6656: 6398: 6360: 5613:"Leader: If Google has nothing to hide about NHS data, why so secretive?" 4931:"Google DeepMind's new AI tool helped create more than 700 new materials" 4776: 4750:"Game Plan: What AI can do for Football, and What Football can do for AI" 4173:"Introducing Cloud Text-to-Speech powered by DeepMind WaveNet technology" 3992:"DeepMind solves 50-year-old 'grand challenge' with protein folding A.I." 3573: 2331:"DeepMind uncovers structure of 200m proteins in scientific leap forward" 1659: 1536: 1396: 1227:

races, becoming the first AI to reach the top league of a widely popular

1180: 1113:, defeated AlphaGo in a hundred out of a hundred games. Later that year, 1071: 916: 803: 678: 674: 521: 506: 5456:"DeepMind Health must be transparent to gain public trust, review finds" 3614: 3043:"DeepMind Has Simple Tests That Might Prevent Elon Musk's AI Apocalypse" 2706: 2249: 2210: 13188: 13163: 13138: 13097: 13077: 12727: 12686: 12681: 12594: 12503: 12411: 12323: 12303: 11752: 11587: 11061: 10972: 10873: 10816: 10486: 10452: 10393: 10326: 10260: 10178: 10112: 9967: 9726: 9527: 9143: 9068: 9002: 8981: 8936: 8420: 8383: 8180: 8121: 7995: 7949: 7919: 7852: 7766: 7749: 7725: 7557: 7429: 7161: 7042: 6988: 6886: 6856: 6824: 6819: 6808: 6787: 6752: 6642: 6627: 6547: 6252: 6150: 5266:"DeepMind AI's new way to sort objects could speed up global computing" 4698:"Google's DeepMind unveils AI robot that can teach itself unsupervised" 3830:"DeepMind AI is secretly lurking on the public StarCraft II 1v1 ladder" 3466:"Mastering Atari, Go, chess and shogi by planning with a learned model" 1439: 1383:

which was released on 6 December 2023. It is the successor of Google's

1351: 1304: 1134: 944: 834: 754: 697:, which was the subject of a documentary film. A more general program, 628: 108: 62: 48: 5712:"The Information Commissioner, the Royal Free, and what we've learned" 4092:"Here's Why Google's Assistant Sounds More Realistic Than Ever Before" 2989:"Google Unit DeepMind Tried—and Failed—to Win AI Autonomy From Parent" 2187:"Hybrid computing using a neural network with dynamic external memory" 13203: 13193: 12971: 12722: 12691: 12589: 12433: 12396: 12333: 12287: 12282: 12267: 11255: 11110: 11045: 11040: 10922: 10704: 10613: 10354: 10267: 10173: 10098: 9418: 9229: 9170: 8562: 8515: 8415: 7929: 7862: 7819: 7771: 6747: 6742: 6552: 6343: 6172: 6089: 6020: 5984: 4964: 4436: 3687:"DeepMind's Go-playing AI doesn't need human help to beat us anymore" 3569: 3564: 3462: 2959: 1895: 1729:

In November 2017, DeepMind announced a research partnership with the

1696: 1300: 1240: 1199: 1122: 1114: 1094: 1061: 1015: 912: 888: 881: 807: 725: 702: 698: 690: 686: 658:(neural networks that can access external memory like a conventional 640: 556: 320: 182: 178: 5037:"DeepMind AI invents faster algorithms to solve tough maths puzzles" 4543:"Google launches Gemini, the AI model it hopes will take down GPT-4" 4509:"Google DeepMind's CEO Says Its Next Algorithm Will Eclipse ChatGPT" 2955:"Google's big AI push will combine Brain and DeepMind into one team" 1825:

Partnership on Artificial Intelligence to Benefit People and Society

39: 13183: 12624: 12456: 11619: 11545: 10895: 10826: 10811: 10801: 10791: 10781: 10771: 10739: 10734: 10598: 10380: 9954: 9929: 9871: 9858: 9846: 9473: 9285: 9094: 8925: 8540: 8483: 8430: 8388: 8302: 8231: 8219: 8163: 8073: 7761: 7736: 7720: 7637: 7545: 7275: 6710: 6184: 5767: 4766: 4415: 4119:"Google's voice-generating AI is now indistinguishable from humans" 3965:"AlphaFold: a solution to a 50-year-old grand challenge in biology" 3942: 3769: 3482: 3263: 3093:"DeepMind AI's new trick is playing 'Quake III Arena' like a human" 3027: 2285: 2271: 1778: 1770: 1635: 1629: 1268: 1041: 816: 393: 315: 5187: 4960:"Is Google's AI Actually Discovering 'Millions of New Materials?'" 3216: 3144: 2760:"Documents detail DeepMind's plan to apply AI to NHS data in 2015" 2428:"Demis Hassabis: 15 facts about the DeepMind Technologies founder" 2143: 1255:

Critical Assessment of Techniques for Protein Structure Prediction

12937: 12747: 12584: 12538: 12461: 12361: 12356: 12308: 11884: 11287:

Umar Javeed, Sukarma Thapar, Aaqib Javeed vs. Google LLC and Ors.

11084: 11075: 10932: 10900: 10831: 10821: 10806: 10796: 10786: 10776: 10766: 10761: 10729: 10724: 10719: 10709: 10281: 9947: 9747: 9731: 9631: 9464: 9215: 8916: 8627: 8324: 8126: 8005: 7914: 7837: 7754: 6998: 6762: 6688: 6218: 6071: 5914:"Cambridge appoints first DeepMind Professor of Machine Learning" 5593:"Revealed: Google AI has access to huge haul of NHS patient data" 5534:"Why Google consuming DeepMind Health is scaring privacy experts" 5330:"Google's DeepMind to peek at NHS eye scans for disease analysis" 4647:"Google's new AI will play video games with you — but not to win" 4466:"Google Announces AI System Gemini After Turmoil at Rival OpenAI" 4015:"What's next for AlphaFold and the AI protein-folding revolution" 3785:"DeepMind founder Demis Hassabis on how AI will shape the future" 3577: 3170: 1544: 1483: 1326: 1288: 1228: 1216: 1172: 1075: 1053: 900: 682: 561: 170: 4673:"DeepMind's RoboCat learns to perform a range of robotics tasks" 4250:

2020 54th Asilomar Conference on Signals, Systems, and Computers

3232:"The Last AI Breakthrough DeepMind Made Before Google Bought It" 2861:"DeepMind has launched a new 'ethics and society' research team" 2662:"Google beats Facebook for Acquisition of DeepMind Technologies" 2137:; Wayne, Greg; Danihelka, Ivo (2014). "Neural Turing Machines". 1807:

published a leaked letter from the National Data Guardian, Dame

1638:, which searches for improved computer science algorithms using 848: 822:

In 2014, DeepMind received the "Company of the Year" award from

13117: 12762: 12742: 12614: 12406: 11854: 10960: 10641: 10625: 10336: 10087: 9935: 9445: 9087: 8813: 8693: 8452: 8209: 8169: 8154: 8142: 8065: 8048: 8022: 7924: 7827: 7730: 7052: 6604: 6478: 6095: 6031: 3859: 3568:; Schrittwieser, Julian; Simonyan, Karen; Antonoglou, Ioannis; 2812:"Google's DeepMind shouldn't suck up our NHS records in secret" 1910: 1900: 1828: 1667: 1359: 1118: 1065: 1019: 896: 713:(Japanese chess) after a few days of play against itself using 648: 632: 126: 5835:"DeepMind's new AI ethics unit is the company's next big move" 4862: 3020: 2886:"DeepMind launches new research team to investigate AI ethics" 2402:"Google makes £400m move in quest for artificial intelligence" 2098: 720:

In 2020, DeepMind made significant advances in the problem of

12563: 12543: 12533: 12528: 12523: 12518: 12481: 12313: 10505: 9721: 9208: 9177: 9163: 9100: 8572: 8131: 7155: 6319: 4378:"Tackling multiple tasks with a single visual language model" 4246: 3580:; Sifre, Laurent; Driessche, George van den; Graepel, Thore; 3235: 3185:"A look back at some of AI's biggest video game wins in 2018" 1574:

that was able to solve 25 out of 30 geometry problems of the

1443: 1392: 1384: 1130: 1126: 1083: 710: 706: 11249:

Google, Inc. v. American Blind & Wallpaper Factory, Inc.

5989: 5889:"DeepMind announces ethics group to focus on problems of AI" 5861:"DeepMind announces ethics group to focus on problems of AI" 5353:"Google DeepMind targets NHS head and neck cancer treatment" 5291:"DeepMind AI Reduces Google Data Centre Cooling Bill by 40%" 3439:"MuZero: Mastering Go, chess, shogi and Atari without rules" 3410: 2843:"DeepMind announces ethics group to focus on problems of AI" 1695:

eye scans, searching for early signs of diseases leading to

12553: 11879: 11874: 10361: 9693: 8847: 8712: 8707: 8582: 7899: 7894: 7803: 6331: 5972: 5655:"Did Google's NHS patient data deal need ethical approval?" 5397:"Google DeepMind's Streams technology branded 'phenomenal'" 3938:"One of biology's biggest mysteries 'largely solved' by AI" 3209: 3137: 2370:"Google Buys U.K. Artificial Intelligence Company DeepMind" 2071:"Google Acquires British Artificial Intelligence Developer" 1543:. In the special case of multiplying two 4×4 matrices with 1388: 999: 777: 229: 5508:"Google 'betrays patient trust' with DeepMind Health move" 4747: 3354:"Google achieves AI 'breakthrough' by beating Go champion" 2803: 1834: 8702: 8688: 8683: 8678: 8664: 6447: 4404:"Flamingo: a Visual Language Model for Few-Shot Learning" 4072:"DeepMind's new AlphaFold 3 expands to DNA, RNA modeling" 2352:"AlphaFold reveals the structure of the protein universe" 2181: 956: 5561:"DeepMind boss defends controversial Google health deal" 3538:"The latest AI can work things out without being taught" 2586:"Google to buy artificial intelligence company DeepMind" 1652: 1245:

In 2016, DeepMind turned its artificial intelligence to

5108:"AI Reveals New Possibilities in Matrix Multiplication" 3738:"MuZero's first step from research into the real world" 1963:"King's Cross - S2 Building - SES Engineering Services" 1578:, a performance comparable to that of a gold medalist. 979:. They tested the system on video games, notably early 2911:"DeepMind co-founder leaves for policy role at Google" 1253:. In December 2018, DeepMind's AlphaFold won the 13th 1137:

without human data, domain knowledge, or known rules.

919:

or otherwise exhibits certain undesirable behaviours.

868:

After Google's acquisition the company established an

12997:

Existential risk from artificial general intelligence

4594:"Gemma: Introducing new state-of-the-art open models" 4309:"DeepMind's new AI system can perform over 600 tasks" 3761: 2684: 1026:; work was ongoing for more complex 3D games such as 5437:"Google's DeepMind wants AI to spot kidney injuries" 2133: 13068:

Center for Human-Compatible Artificial Intelligence

5188:AlphaProof and AlphaGeometry teams (25 July 2024). 4620:"A generalist AI agent for 3D virtual environments" 1831:originally agreed to form when acquiring DeepMind. 1794:

Medicines and Healthcare products Regulatory Agency

1683:In July 2016, a collaboration between DeepMind and 1010:, while surpassing state of the art performance on 911:Google Research released a paper in 2016 regarding 5559: 4464: 3910:"Google's DeepMind predicts 3D shapes of proteins" 3586:"Mastering the game of Go without human knowledge" 3279:"Agent57: Outperforming the Atari Human Benchmark" 2987: 2377: 798:invested in the company, as well as entrepreneurs 662:), resulting in a computer that loosely resembles 2903: 1391:language models and sought to challenge OpenAI's 13326: 13108:Leverhulme Centre for the Future of Intelligence 5078: 5076: 4978: 4724:"Advancing sports analytics through AI research" 3159: 3157: 3155: 2564:"Recode.net – DeepMind Technologies Acquisition" 5809:"Why we launched DeepMind Ethics & Society" 4865:"Scaling deep learning for materials discovery" 4282:"Improving Audio Quality in Duo with WaveNetEQ" 3306:"This AI Can Beat Humans At All 57 Atari Games" 2346: 2344: 2254:, Ioannis Antonoglou, Lucas Baker, Nick Bostrom 1750: 1691:. DeepMind would be applied to the analysis of 13103:Institute for Ethics and Emerging Technologies 11433:Google Spain v AEPD and Mario Costeja González 5246:"AlphaDev discovers faster sorting algorithms" 3133: 3131: 1814: 1717:to develop new clinical mobile apps linked to 13287:Superintelligence: Paths, Dangers, Strategies 13267:Open letter on artificial intelligence (2015) 12923: 11999: 11186: 6463: 6005: 5531: 5102: 5100: 5073: 5028: 4141: 4139: 3152: 2680: 2678: 2175: 1857:Department of Computer Science and Technology 601: 12013: 4953: 4951: 3710: 3224: 2927:Blogs, Microsoft Corporate (19 March 2024). 2341: 906: 11718:Googled: The End of the World as We Know It 5375:"DeepMind announces second NHS partnership" 4754:Journal of Artificial Intelligence Research 3387: 3385: 3128: 2480:"DeepMind buy heralds rise of the machines" 1335:is a language model developed by DeepMind. 27:Artificial intelligence research laboratory 12930: 12916: 12006: 11992: 11331:Viacom International Inc. v. YouTube, Inc. 11193: 11179: 6470: 6456: 6012: 5998: 5977: 5097: 4136: 2952: 2675: 1702:In August 2016, a research programme with 1140:AlphaGo technology was developed based on 701:, beat the most powerful programs playing 608: 594: 11831:Where on Google Earth is Carmen Sandiego? 5532:Stokel-Walker, Chris (14 November 2018). 5011: 5001: 4948: 4906: 4888: 4775: 4765: 4414: 4038: 3768: 3481: 3364: 3262: 3215: 3166:Deepmind artificial intelligence @ FDOT14 3143: 3026: 2953:Roth, Emma; Peters, Jay (20 April 2023). 2785:"Inside Google's Mysterious Ethics Board" 2324: 2322: 2284: 2142: 1047: 1040:system capable of playing the board game 13073:Centre for the Study of Existential Risk 5631: 5453: 5350: 5327: 4069: 4012: 3713:"Google DeepMind: AI becomes more alien" 3382: 3348: 3346: 3344: 2612:"Google Acquires UK AI startup Deepmind" 2299: 1885:, in the Department of Computer Science. 1442:. Google claimed that it could generate 13113:Machine Intelligence Research Institute 7492:Next Lab and Audience Development Group 5950:"DeepMind renews its commitment to UCL" 5479: 5263: 5161: 5083:Heaven, Will Douglas (5 October 2022). 4957: 4836: 4670: 4429: 4401: 4306: 3684: 2542:"DeepMind: inside Google's super-brain" 2477: 2014: 1835:DeepMind Professors of machine learning 14: 13327: 5760: 5652: 5590: 5557: 5213: 5131: 5129: 5082: 5034: 4832: 4830: 4828: 4826: 4807: 4805: 4803: 4540: 4505: 4462: 3935: 3907: 3827: 3711:Cellan-Jones, Rory (18 October 2017). 3303: 2809: 2552:from the original on 3 September 2023. 2328: 2319: 1767:Royal Free London NHS Foundation Trust 1711:Royal Free London NHS Foundation Trust 1634:In June 2023, Deepmind announced that 1325:is an artificial intelligence-powered 681:. It made headlines in 2016 after its 627:research laboratory which serves as a 13345:British companies established in 2010 12911: 11987: 11520: 11174: 10667: 8742: 7690: 6529: 6451: 5993: 5832: 4644: 4333:Gupta, Khushboo (28 September 2022). 4332: 4145: 4116: 3989: 3855:"I played against AlphaStar/Deepmind" 3560: 3558: 3341: 3108: 2985: 2926: 2539: 1715:Imperial College Healthcare NHS Trust 1653:Miscellaneous contributions to Google 1585:that rely exclusively on human-coded 1197:In 2016, Hassabis discussed the game 1032:, which first appeared in the 1990s. 13340:Artificial intelligence laboratories 12844:Generative adversarial network (GAN) 11968: 11948: 11322:Perfect 10, Inc. v. Amazon.com, Inc. 6432: 5886: 5858: 5788: 5572:from the original on 12 January 2022 5505: 5214:Heaven, Will Douglas (7 June 2023). 5207: 5181: 5155: 4487:from the original on 6 December 2023 4444:from the original on 2 February 2022 2840: 2247: 2127: 2093: 2091: 2068: 2064: 2062: 1541:algorithms for matrix multiplication 1512: 887:In April 2023, DeepMind merged with 861:In September 2015, DeepMind and the 635:. Founded in the UK in 2010, it was 621:Google DeepMind Technologies Limited 11387:Rocky Mountain Bank v. Google, Inc. 11347:Authors Guild, Inc. v. Google, Inc. 7425:Quantum Artificial Intelligence Lab 6248:Quantum Artificial Intelligence Lab 5761:Martin, Alexander J (15 May 2017). 5480:Vincent, James (13 November 2018). 5135: 5126: 4823: 4800: 2637:"Report of Acquisition, TechCrunch" 2478:Cookson, Robert (27 January 2014). 2300:Callaway, Ewen (30 November 2020). 1906:Glossary of artificial intelligence 1765:agreement between DeepMind and the 1736:U.S. Department of Veterans Affairs 1576:International Mathematical Olympiad 1535:In October 2022, DeepMind released 24: 13255:Statement on AI risk of extinction 11363:Google LLC v. Oracle America, Inc. 11241:Rosetta Stone Ltd. v. Google, Inc. 10464:Speech Recognition & Synthesis 6394:Generative pre-trained transformer 5632:Donnelly, Caroline (12 May 2016). 5558:Murphy, Margi (14 November 2018). 5351:Baraniuk, Chris (31 August 2016). 5035:Hutson, Matthew (5 October 2022). 4430:Vincent, James (2 February 2022). 4258:10.1109/ieeeconf51394.2020.9443419 4198:"Efficient Neural Audio Synthesis" 3936:Briggs, Helen (30 November 2020). 3685:Vincent, James (18 October 2017). 3658: 3555: 2967:from the original on 20 April 2023 1704:University College London Hospital 1678: 1581:Traditional geometry programs are 1282: 1234: 1038:multi-agent reinforcement learning 685:program beat a human professional 639:by Google in 2014 and merged with 255: 25: 13396: 12992:Ethics of artificial intelligence 11932:discontinued products or services 11615:Search engine manipulation effect 8275:Android Cloud to Device Messaging 5964: 5399:. Digital Health. 4 December 2017 5226:from the original on 14 June 2023 5162:Roberts, Siobhan (25 July 2024). 4813:"Predicting the past with Ithaca" 4541:Pierce, David (6 December 2023). 4522:from the original on 26 June 2023 4463:Kruppa, Miles (6 December 2023). 3304:Linder, Courtney (2 April 2020). 2757: 2524: 2505:"DeepMind Technologies Investors" 2376:. 27 January 2014. Archived from 2088: 2059: 2027:from the original on 20 May 2024. 1786:Information Commissioner's Office 1709:There are also projects with the 13311: 13310: 13002:Friendly artificial intelligence 12882: 12881: 12861: 11967: 11957: 11947: 11938: 11937: 11907:Stanford Digital Library Project 11790:"Google Me" (Teyana Taylor song) 11499: 11498: 7463:Submarine communications cables 7224:CNN/YouTube presidential debates 6517:List of mergers and acquisitions 6431: 6422: 6421: 5942: 5924: 5906: 5880: 5852: 5826: 5801: 5782: 5754: 5729: 5704: 5688:. 17 August 2017. Archived from 5674: 5646: 5625: 5605: 5584: 5551: 5525: 5499: 5473: 5447: 5429: 5411: 5389: 5367: 5344: 5321: 5302: 5283: 5264:Sparkes, Matthew (7 June 2023). 5257: 5238: 5136:Zia, Tehseen (24 January 2024). 4972: 4958:Koebler, Jason (11 April 2024). 4923: 4856: 4741: 4716: 4690: 4664: 4638: 4612: 3644: 3002:from the original on 21 May 2021 2849:– via www.theguardian.com. 2451: 2248:Kohs, Greg (29 September 2017), 1559: 1044:at the level of a human expert. 847: 833: 38: 11958: 11561:2004 U.S. presidential election 11324:and A9.com Inc. and Google Inc. 7691: 7585:San Francisco tech bus protests 7563:"Ideological Echo Chamber" memo 7304:Computing University Initiative 5506:Hern, Alex (14 November 2018). 5328:Baraniuk, Chris (6 July 2016). 4837:Vincent, James (9 March 2022). 4645:David, Emilia (13 March 2024). 4586: 4560: 4534: 4499: 4456: 4423: 4402:Alayrac, Jean-Baptiste (2022). 4395: 4370: 4348: 4326: 4300: 4274: 4240: 4215: 4190: 4165: 4146:Novet, Jordan (31 March 2018). 4110: 4084: 4063: 4006: 3990:Shead, Sam (30 November 2020). 3983: 3957: 3929: 3908:Sample, Ian (2 December 2018). 3901: 3875: 3847: 3821: 3795: 3777: 3755: 3730: 3704: 3678: 3652: 3530: 3456: 3431: 3417: 3403: 3323: 3297: 3271: 3250: 3203: 3177: 3102: 3086: 3061: 3035: 3014: 2979: 2946: 2920: 2878: 2853: 2834: 2777: 2751: 2729: 2654: 2629: 2604: 2578: 2556: 2533: 2518: 2497: 2471: 2445: 2420: 2394: 2362: 2293: 2265: 2241: 2151: 1231:without any game restrictions. 276:Artificial general intelligence 13335:2010 establishments in England 13063:Center for Applied Rationality 12794:Recurrent neural network (RNN) 12784:Differentiable neural computer 11810:Matt Nathanson: Live at Google 11785:"Google Me" (Kim Zolciak song) 11225:Rescuecom Corp. v. Google Inc. 11200: 7618:Back advertisement controversy 5936:Department of Computer Science 5454:Evenstad, Lis (15 June 2018). 4671:Wiggers, Kyle (21 June 2023). 2810:Ramesh, Randeep (4 May 2016). 2329:Geddes, Linda (28 July 2022). 2109: 2069:Bray, Chad (27 January 2014). 2031: 2008: 1980: 1955: 1928: 1872:Department of Computer Science 1689:AI applications for healthcare 1530: 1525: 1473: 1426: 870:artificial intelligence ethics 13: 1: 13380:2014 mergers and acquisitions 12839:Variational autoencoder (VAE) 12799:Long short-term memory (LSTM) 12066:Computational learning theory 11339:Lenz v. Universal Music Corp. 7868:Federated Learning of Cohorts 7666:Slovenian government incident 6019: 5887:Hern, Alex (4 October 2017). 5859:Hern, Alex (4 October 2017). 5591:Hodson, Hal (29 April 2016). 5003:10.1021/acs.chemmater.4c00643 4506:Knight, Will (26 June 2023). 4307:Wiggers, Kyle (13 May 2022). 4070:Sullivan, Mark (8 May 2024). 3378:(in French). 27 January 2016. 2841:Hern, Alex (4 October 2017). 2540:Rowan, David (22 June 2015). 2015:Langley, Hugh (16 May 2024). 1921: 1784:A complaint was filed to the 1601: 1287:In 2016, DeepMind introduced 1249:, a long-standing problem in 1121:that mastered the domains of 824:Cambridge Computer Laboratory 204: 13355:Game artificial intelligence 13083:Future of Humanity Institute 12819:Convolutional neural network 11625:Site reliability engineering 11403:United States v. Google Inc. 10668: 8743: 8489:applications in biochemistry 7643:Fantastic Adventures scandal 7071:Doodle Champion Island Games 3828:Amadeo, Ron (11 July 2019). 3169:. 19 April 2014 – via 2986:Olson, Parmy (21 May 2023). 1751:NHS data-sharing controversy 1438:called Veo was announced at 1341: 1186: 1107:three-game match with Ke Jie 977:convolutional neural network 955:Unlike earlier AIs, such as 790:Major venture capital firms 7: 13300:Artificial Intelligence Act 13294:Do You Trust This Computer? 12814:Multilayer perceptron (MLP) 11897:Relationship with Knowledge 11796:Is Google Making Us Stupid? 11521: 11303:United States v. Google LLC 11295:United States v. Google LLC 8103:Internet Speech Audio Codec 7497:Original Channel Initiative 6530: 5653:Hodson, Hal (25 May 2016). 3411:"World's Go Player Ratings" 2933:The Official Microsoft Blog 1889: 1815:DeepMind Ethics and Society 1623: 1449: 1142:deep reinforcement learning 311:Natural language processing 10: 13401: 13375:Alphabet Inc. subsidiaries 12890:Artificial neural networks 12804:Gated recurrent unit (GRU) 12030:Differentiable programming 11670:Google and the World Brain 8406:Programmable Search Engine 8098:Internet Low Bitrate Codec 7945:Neural Machine Translation 7458:Student Ambassador Program 7408:Objectives and key results 6477: 5789:Hern, Alex (3 July 2017). 5377:. IT Pro. 23 December 2016 5051:10.1038/d41586-022-03166-w 4890:10.1038/s41586-023-06735-9 4252:. IEEE. pp. 672–676. 4177:Google Cloud Platform Blog 4040:10.1038/d41586-022-00997-5 3500:10.1038/s41586-020-03051-4 3109:Shead, Sam (5 June 2020). 1719:electronic patient records 1627: 1563: 1406: 1369: 1238: 1190: 1051: 740: 364:Hybrid intelligent systems 286:Recursive self-improvement 13308: 13247: 13126: 13053:Alignment Research Center 13045: 13037:Technological singularity 12987:Effective accelerationism 12949: 12857: 12771: 12715: 12644: 12577: 12449: 12349: 12342: 12296: 12260: 12223:Artificial neural network 12203: 12079: 12046:Automatic differentiation 12019: 11923: 11849:Attention Is All You Need 11840: 11762: 11686: 11656:Google: Behind the Screen 11638: 11531: 11527: 11516: 11494: 11451: 11378: 11313: 11264: 11208: 11170: 11033: 10953: 10866: 10678: 10674: 10663: 10579: 10527: 10211: 10204: 10149: 10079: 10019: 9889: 9880: 9707: 9619: 9302: 9015: 8915: 8863: 8762: 8755: 8751: 8738: 8647: 8531: 8524: 8471: 8261: 8152: 8038: 8031: 7794: 7703: 7699: 7686: 7608: 7521: 7512: 7261: 7211: 7103: 7096: 7027: 6935: 6833: 6730: 6721: 6540: 6536: 6525: 6485: 6417: 6383:Attention Is All You Need 6374: 6353: 6306: 6277: 6270: 6240: 6211: 6204: 6165: 6134: 6105: 6064: 6057: 6050: 6027: 5954:University College London 2739:. University of Cambridge 1879:University College London 1777:or had ever undergone an 1687:was announced to develop 1457: 1365: 907:Products and technologies 763:University College London 224: 220:Deepmind Holdings Limited 214: 198: 188: 166: 133: 122: 96: 78: 68: 58: 46: 37: 13365:Applied machine learning 13088:Future of Life Institute 13007:Instrumental convergence 12051:Neuromorphic engineering 12014:Differentiable computing 8458:Wave Federation Protocol 7361:Get Your Business Online 5310:"DeepMind, meet Android" 4982:; Seshadri, Ram (2024). 3425:"柯洁迎19岁生日雄踞人类世界排名第一已两年" 1839:DeepMind sponsors three 1402: 950: 488:Artificial consciousness 12943:artificial intelligence 12824:Residual neural network 12240:Artificial Intelligence 11870:.app (top-level domain) 11817:The Billion Dollar Code 11395:Hibnick v. Google, Inc. 11233:Goddard v. Google, Inc. 11217:Feldman v. Google, Inc. 8568:Keyhole Markup Language 7330:Digital News Initiative 5918:University of Cambridge 4472:The Wall Street Journal 4013:Callaway, Ewen (2022). 3427:(in Chinese). May 2017. 2995:The Wall Street Journal 2163:4 December 2015 at the 1849:University of Cambridge 1685:Moorfields Eye Hospital 1417: 1372:Gemini (language model) 1356:competitive programming 1154:Monte Carlo tree search 693:, a world champion, in 625:artificial intelligence 359:Evolutionary algorithms 249:Artificial intelligence 73:Artificial intelligence 13012:Intelligence explosion 11860:Predictions of the end 11604:Illegal flower tribute 11484:Gonzalez v. Google LLC 11460:Garcia v. Google, Inc. 11370:Smartphone patent wars 11149:Tensor Processing Unit 11057:Digital media players 8587:Programming languages 8298:App Runtime for Chrome 7595:Smartphone patent wars 7536:Alphabet Workers Union 6258:Tensor Processing Unit 4989:Chemistry of Materials 3576:; Lillicrap, Timothy; 1640:reinforcement learning 1436:video generation model 1409:Gemma (language model) 1310:Released in May 2022, 1150:reinforcement learning 1093:In March 2016 it beat 1048:AlphaGo and successors 969:reinforcement learning 715:reinforcement learning 656:neural Turing machines 623:is a British-American 260: 84:; 13 years ago 82:23 September 2010 12967:AI capability control 12779:Neural Turing machine 12367:Human image synthesis 11663:Google Maps Road Trip 11468:Google LLC v Defteros 11417:Joffe v. Google, Inc. 11355:Field v. Google, Inc. 11314:Intellectual property 9522:Questions and Answers 9055:Currents (social app) 7858:Exposure Notification 7648:Headquarters shooting 7315:Data Transfer Project 7310:Data Liberation Front 5220:MIT Technology Review 5090:MIT Technology Review 4935:MIT Technology Review 3665:MIT Technology Review 3238:Blog. 29 January 2014 2170:MIT Technology Review 1843:of machine learning: 1761:obtained a copy of a 669:DeepMind has created 259: 13058:Center for AI Safety 12870:Computer programming 12849:Graph neural network 12424:Text-to-video models 12402:Text-to-image models 12250:Large language model 12235:Scientific computing 12041:Statistical manifold 12036:Information geometry 11476:Epic Games v. Google 11425:Mosley v SARL Google 9866:Wildfire Interactive 9825:Pay (payment method) 9516:Public Data Explorer 8967:original programming 8883:most downloaded apps 8774:Green Throttle Games 8443:Tesseract (software) 8281:Android Debug Bridge 7984:Skia Graphics Engine 7660:Innocence of Muslims 7366:Google for Education 6587:software development 6500:List of Android apps 5920:. 18 September 2019. 4980:Cheetham, Anthony K. 4777:10.1613/jair.1.12505 3397:Google Research Blog 1864:University of Oxford 1644:C++ Standard Library 1591:large language model 1554:Vassilevska Williams 1381:large language model 1223:ladder on all three 1193:AlphaStar (software) 863:Royal Free NHS Trust 666:in the human brain. 654:DeepMind introduced 301:General game playing 13360:Google acquisitions 13273:Our Final Invention 12216:In-context learning 12056:Pattern recognition 10867:Laptops and tablets 9596:Insights for Search 9510:Personalized Search 8768:Currents (news app) 8092:Global IP Solutions 7653:Kohistan video case 7600:Worker organization 7371:Google for Startups 7111:Developer Challenge 7009:St. John's Terminal 6967:Central Saint Giles 6962:Binoculars Building 6913:Shirley M. Tilghman 6505:List of Easter eggs 6389:Future of Go Summit 5985:GitHub Repositories 5443:. 22 February 2018. 5425:. 24 November 2017. 4881:2023Natur.624...80M 4031:2022Natur.604..234C 3615:10.1038/nature24270 3607:2017Natur.550..354S 3584:(19 October 2017). 3492:2020Natur.588..604S 2707:10.1038/nature14236 2699:2015Natur.518..529M 2529:. Business Insider. 2382:on 13 November 2014 2211:10.1038/nature20101 2203:2016Natur.538..471G 2117:"A return to Paris" 1723:Royal Free Hospital 1570:AlphaGeometry is a 1103:Future of Go Summit 1070:In October 2015, a 854:Logo from 2016–2019 840:Logo from 2015–2016 453:Machine translation 369:Systems integration 306:Knowledge reasoning 243:Part of a series on 200:Number of employees 34: 12809:Echo state network 12697:Jürgen Schmidhuber 12392:Facial recognition 12387:Speech recognition 12297:Software libraries 11803:Proceratium google 11154:Titan Security Key 11139:Sycamore processor 10245:Arts & Culture 9789:Marketing Platform 9286:Voice Local Search 9272:Translator Toolkit 8578:Open Location Code 8546:Chrome Experiments 8400:Plugin for Eclipse 8269:American Fuzzy Lop 7440:Silicon Initiative 7249:Symphony Orchestra 6135:In popular culture 5833:Temperton, James. 5460:ComputerWeekly.com 4600:. 21 February 2024 3971:. 30 November 2020 3399:. 27 January 2016. 3360:. 27 January 2016. 3191:. 29 December 2018 3049:. 11 December 2017 2909:Madhumita Murgia, 2822:on 13 October 2016 1916:Robot Constitution 1731:Cancer Research UK 1647:sorting algorithms 1550:Strassen algorithm 1354:utilized in human 261: 32: 13322: 13321: 13239:Eliezer Yudkowsky 13214:Stuart J. Russell 13032:Superintelligence 12905: 12904: 12667:Stephen Grossberg 12640: 12639: 11981: 11980: 11919: 11918: 11915: 11914: 11732:I'm Feeling Lucky 11711:Google Volume One 11532:Terms and phrases 11512: 11511: 11166: 11165: 11162: 11161: 11126:Pixel Visual Core 10687:Android Dev Phone 10659: 10658: 10655: 10654: 10651: 10650: 10305:Digital Wellbeing 10145: 10144: 9776:Affiliate Network 9699:Where Is My Train 9339:BeatThatQuote.com 9202:Neotonic Software 9011: 9010: 8791:PaperofRecord.com 8734: 8733: 8730: 8729: 8726: 8725: 8472:Search algorithms 8257: 8256: 8111:Gridcentric, Inc. 7704:Operating systems 7682: 7681: 7678: 7677: 7674: 7673: 7257: 7256: 7078:Magic Cat Academy 6943:111 Eighth Avenue 6931: 6930: 6841:Andy Bechtolsheim 6445: 6444: 6370: 6369: 6266: 6265: 6200: 6199: 6161: 6160: 6051:Computer programs 4574:. 8 February 2024 4358:. 12 January 2023 4267:978-0-7381-3126-9 4117:Gershgorn, Dave. 4025:(7905): 234–238. 3889:. 31 October 2019 3809:. 24 January 2019 3601:(7676): 354–359. 3476:(7839): 604–609. 3310:Popular Mechanics 2917:, 5 December 2019 2791:. 3 February 2014 2592:. 26 January 2014 2566:. 26 January 2014 2408:. 27 January 2014 2197:(7626): 471–476. 1967:www.ses-ltd.co.uk 1868:Michael Bronstein 1572:neuro-symbolic AI 1513:Materials science 1348:computer programs 1251:molecular biology 792:Horizons Ventures 695:a five-game match 664:short-term memory 618: 617: 354:Bayesian networks 281:Intelligent agent 238: 237: 16:(Redirected from 13392: 13314: 13313: 13261:Human Compatible 13234:Roman Yampolskiy 12982:Consequentialism 12939:Existential risk 12932: 12925: 12918: 12909: 12908: 12895:Machine learning 12885: 12884: 12865: 12620:Action selection 12610:Self-driving car 12417:Stable Diffusion 12382:Speech synthesis 12347: 12346: 12211:Machine learning 12087:Gradient descent 12008: 12001: 11994: 11985: 11984: 11971: 11970: 11961: 11960: 11951: 11950: 11941: 11940: 11725:How Google Works 11704:The Google Story 11529: 11528: 11518: 11517: 11502: 11501: 11195: 11188: 11181: 11172: 11171: 11133:Search Appliance 10998:Virtual reality 10966:List of products 10918:Chromebook Pixel 10837:Pixel 9 Pro Fold 10676: 10675: 10665: 10664: 10209: 10208: 9986:Quick Search Box 9887: 9886: 9883:and productivity 9814:Pay (mobile app) 8957:Official channel 8760: 8759: 8753: 8752: 8740: 8739: 8673:On2 Technologies 8529: 8528: 8360:MIT App Inventor 8036: 8035: 7967:Protocol Buffers 7701: 7700: 7688: 7687: 7633:Copyright strike 7628:Copyright issues 7590:Services outages 7573:Privacy concerns 7526:2018 data breach 7519: 7518: 7335:Digital Unlocked 7320:Developer Expert 7101: 7100: 7004:Sidewalk Toronto 6918:Rachel Whetstone 6893:Patrick Pichette 6768:John L. Hennessy 6728: 6727: 6538: 6537: 6527: 6526: 6510:April Fools' Day 6472: 6465: 6458: 6449: 6448: 6435: 6434: 6425: 6424: 6409:Google Workspace 6275: 6274: 6209: 6208: 6205:Machine learning 6062: 6061: 6055: 6054: 6014: 6007: 6000: 5991: 5990: 5981: 5976: 5975: 5973:Official website 5958: 5957: 5956:. 29 March 2021. 5946: 5940: 5939: 5928: 5922: 5921: 5910: 5904: 5903: 5901: 5899: 5884: 5878: 5877: 5875: 5873: 5856: 5850: 5849: 5847: 5845: 5830: 5824: 5823: 5821: 5819: 5805: 5799: 5798: 5786: 5780: 5779: 5777: 5775: 5758: 5752: 5751: 5749: 5747: 5733: 5727: 5726: 5724: 5722: 5708: 5702: 5701: 5699: 5697: 5678: 5672: 5671: 5669: 5667: 5650: 5644: 5643: 5629: 5623: 5622: 5609: 5603: 5602: 5588: 5582: 5581: 5579: 5577: 5563: 5555: 5549: 5548: 5546: 5544: 5529: 5523: 5522: 5520: 5518: 5503: 5497: 5496: 5494: 5492: 5477: 5471: 5470: 5468: 5466: 5451: 5445: 5444: 5433: 5427: 5426: 5415: 5409: 5408: 5406: 5404: 5393: 5387: 5386: 5384: 5382: 5371: 5365: 5364: 5362: 5360: 5348: 5342: 5341: 5339: 5337: 5325: 5319: 5317: 5306: 5300: 5298: 5287: 5281: 5280: 5278: 5276: 5261: 5255: 5253: 5242: 5236: 5235: 5233: 5231: 5211: 5205: 5204: 5202: 5200: 5185: 5179: 5178: 5176: 5174: 5159: 5153: 5152: 5150: 5148: 5133: 5124: 5123: 5121: 5119: 5104: 5095: 5094: 5080: 5071: 5070: 5032: 5026: 5025: 5015: 5005: 4996:(8): 3490–3495. 4976: 4970: 4969: 4955: 4946: 4945: 4943: 4941: 4927: 4921: 4920: 4910: 4892: 4860: 4854: 4853: 4851: 4849: 4834: 4821: 4820: 4809: 4798: 4797: 4779: 4769: 4745: 4739: 4738: 4736: 4734: 4720: 4714: 4713: 4711: 4709: 4694: 4688: 4687: 4685: 4683: 4668: 4662: 4661: 4659: 4657: 4642: 4636: 4635: 4633: 4631: 4616: 4610: 4609: 4607: 4605: 4590: 4584: 4583: 4581: 4579: 4564: 4558: 4557: 4555: 4553: 4538: 4532: 4531: 4529: 4527: 4511: 4503: 4497: 4496: 4494: 4492: 4468: 4460: 4454: 4453: 4451: 4449: 4427: 4421: 4420: 4418: 4408: 4399: 4393: 4392: 4390: 4388: 4382:www.deepmind.com 4374: 4368: 4367: 4365: 4363: 4352: 4346: 4345: 4343: 4341: 4330: 4324: 4323: 4321: 4319: 4304: 4298: 4297: 4295: 4293: 4278: 4272: 4271: 4244: 4238: 4237: 4235: 4233: 4219: 4213: 4212: 4210: 4208: 4194: 4188: 4187: 4185: 4183: 4169: 4163: 4162: 4160: 4158: 4143: 4134: 4133: 4131: 4129: 4114: 4108: 4107: 4105: 4103: 4098:. 5 October 2017 4088: 4082: 4081: 4067: 4061: 4060: 4042: 4010: 4004: 4003: 4001: 3999: 3987: 3981: 3980: 3978: 3976: 3961: 3955: 3954: 3952: 3950: 3933: 3927: 3926: 3924: 3922: 3905: 3899: 3898: 3896: 3894: 3879: 3873: 3872: 3870: 3868: 3851: 3845: 3844: 3842: 3840: 3825: 3819: 3818: 3816: 3814: 3799: 3793: 3792: 3791:. 10 March 2016. 3781: 3775: 3774: 3772: 3759: 3753: 3752: 3750: 3748: 3742:www.deepmind.com 3734: 3728: 3727: 3725: 3723: 3708: 3702: 3701: 3699: 3697: 3682: 3676: 3675: 3673: 3671: 3656: 3650: 3649: 3648: 3642: 3590: 3562: 3553: 3552: 3550: 3548: 3534: 3528: 3527: 3485: 3460: 3454: 3453: 3451: 3449: 3443:www.deepmind.com 3435: 3429: 3428: 3421: 3415: 3414: 3407: 3401: 3400: 3389: 3380: 3379: 3368: 3362: 3361: 3350: 3339: 3338: 3327: 3321: 3320: 3318: 3316: 3301: 3295: 3294: 3292: 3290: 3275: 3269: 3268: 3266: 3254: 3248: 3247: 3245: 3243: 3228: 3222: 3221: 3219: 3207: 3201: 3200: 3198: 3196: 3181: 3175: 3174: 3161: 3150: 3149: 3147: 3135: 3126: 3125: 3123: 3121: 3106: 3100: 3090: 3084: 3083: 3081: 3079: 3065: 3059: 3058: 3056: 3054: 3039: 3033: 3032: 3030: 3018: 3012: 3011: 3009: 3007: 2991: 2983: 2977: 2976: 2974: 2972: 2950: 2944: 2943: 2941: 2939: 2924: 2918: 2907: 2901: 2900: 2898: 2896: 2882: 2876: 2875: 2873: 2871: 2865:Business Insider 2857: 2851: 2850: 2838: 2832: 2831: 2829: 2827: 2818:. Archived from 2807: 2801: 2800: 2798: 2796: 2781: 2775: 2774: 2772: 2770: 2758:Lomas, Natasha. 2755: 2749: 2748: 2746: 2744: 2733: 2727: 2726: 2693:(7540): 529–33. 2682: 2673: 2672: 2670: 2668: 2658: 2652: 2651: 2649: 2647: 2633: 2627: 2626: 2624: 2622: 2608: 2602: 2601: 2599: 2597: 2582: 2576: 2575: 2573: 2571: 2560: 2554: 2553: 2537: 2531: 2530: 2522: 2516: 2515: 2513: 2511: 2501: 2495: 2494: 2492: 2490: 2475: 2469: 2468: 2466: 2464: 2449: 2443: 2442: 2440: 2438: 2424: 2418: 2417: 2415: 2413: 2398: 2392: 2391: 2389: 2387: 2381: 2366: 2360: 2359: 2348: 2339: 2338: 2326: 2317: 2316: 2314: 2312: 2297: 2291: 2290: 2288: 2269: 2263: 2262: 2261: 2259: 2245: 2239: 2238: 2179: 2173: 2155: 2149: 2148: 2146: 2131: 2125: 2124: 2113: 2107: 2106: 2095: 2086: 2085: 2083: 2081: 2066: 2057: 2056: 2054: 2052: 2047:. 30 August 2019 2035: 2029: 2028: 2021:Business Insider 2012: 2006: 2005: 2003: 2001: 1996:. 30 August 2019 1984: 1978: 1977: 1975: 1973: 1959: 1953: 1952: 1950: 1948: 1932: 1773:, suffered from 1583:symbolic engines 1520:Anthony Cheetham 1480:the Greek island 1314:is a polyvalent 1297:Google Assistant 1135:Atari 2600 games 1105:, AlphaGo won a 851: 837: 759:Mustafa Suleyman 730:state of the art 610: 603: 596: 517:Existential risk 339:Machine learning 240: 239: 234: 231: 209: 206: 114:Mustafa Suleyman 92: 90: 85: 42: 35: 31: 21: 13400: 13399: 13395: 13394: 13393: 13391: 13390: 13389: 13385:Google DeepMind 13325: 13324: 13323: 13318: 13304: 13243: 13199:Steve Omohundro 13179:Geoffrey Hinton 13169:Stephen Hawking 13154:Paul Christiano 13134:Scott Alexander 13122: 13093:Google DeepMind 13041: 13027:Suffering risks 12945: 12936: 12906: 12901: 12853: 12767: 12733:Google DeepMind 12711: 12677:Geoffrey Hinton 12636: 12573: 12499:Project Debater 12445: 12343:Implementations 12338: 12292: 12256: 12199: 12141:Backpropagation 12075: 12061:Tensor calculus 12015: 12012: 11982: 11977: 11911: 11836: 11763:Popular culture 11758: 11746:The Google Book 11682: 11677:The Creepy Line 11634: 11523: 11508: 11490: 11447: 11374: 11309: 11260: 11204: 11199: 11158: 11029: 10949: 10862: 10670: 10647: 10581: 10575: 10523: 10459:Sound Amplifier 10406:Opinion Rewards 10375:Live Transcribe 10200: 10141: 10075: 10015: 9882: 9876: 9709: 9703: 9615: 9452:Knowledge Graph 9298: 9007: 8911: 8859: 8835:Typhoon Studios 8747: 8722: 8643: 8634:Webdriver Torso 8520: 8467: 8253: 8148: 8079:Cloud Messaging 8027: 8017:Web Accelerator 7940:Mobile Services 7796: 7790: 7695: 7670: 7604: 7508: 7420:Privacy Sandbox 7348:Founders' Award 7298:Business Groups 7263: 7253: 7207: 7203:Talks at Google 7145:Developers Live 7092: 7088:Material Design 7023: 7019:YouTube Theater 6927: 6877:Omid Kordestani 6829: 6758:Sanjay Ghemawat 6717: 6633:Crisis Response 6592:version history 6577:booting process 6532: 6521: 6481: 6476: 6446: 6441: 6413: 6366: 6349: 6307:Language models 6302: 6262: 6236: 6212:Neural networks 6196: 6157: 6130: 6101: 6046: 6042:Google DeepMind 6023: 6018: 5971: 5970: 5967: 5962: 5961: 5948: 5947: 5943: 5930: 5929: 5925: 5912: 5911: 5907: 5897: 5895: 5885: 5881: 5871: 5869: 5857: 5853: 5843: 5841: 5831: 5827: 5817: 5815: 5807: 5806: 5802: 5787: 5783: 5773: 5771: 5759: 5755: 5745: 5743: 5735: 5734: 5730: 5720: 5718: 5710: 5709: 5705: 5695: 5693: 5692:on 16 June 2018 5680: 5679: 5675: 5665: 5663: 5651: 5647: 5639:Computer Weekly 5630: 5626: 5611: 5610: 5606: 5589: 5585: 5575: 5573: 5556: 5552: 5542: 5540: 5530: 5526: 5516: 5514: 5504: 5500: 5490: 5488: 5478: 5474: 5464: 5462: 5452: 5448: 5435: 5434: 5430: 5417: 5416: 5412: 5402: 5400: 5395: 5394: 5390: 5380: 5378: 5373: 5372: 5368: 5358: 5356: 5349: 5345: 5335: 5333: 5326: 5322: 5308: 5307: 5303: 5289: 5288: 5284: 5274: 5272: 5262: 5258: 5244: 5243: 5239: 5229: 5227: 5212: 5208: 5198: 5196: 5194:deepmind.google 5186: 5182: 5172: 5170: 5160: 5156: 5146: 5144: 5134: 5127: 5117: 5115: 5114:. November 2022 5112:Quanta Magazine 5106: 5105: 5098: 5081: 5074: 5033: 5029: 4977: 4973: 4956: 4949: 4939: 4937: 4929: 4928: 4924: 4875:(7990): 80–85. 4861: 4857: 4847: 4845: 4835: 4824: 4819:. 9 March 2022. 4817:Google DeepMind 4811: 4810: 4801: 4746: 4742: 4732: 4730: 4722: 4721: 4717: 4707: 4705: 4702:The Independent 4696: 4695: 4691: 4681: 4679: 4669: 4665: 4655: 4653: 4643: 4639: 4629: 4627: 4626:. 13 March 2024 4624:Google DeepMind 4618: 4617: 4613: 4603: 4601: 4592: 4591: 4587: 4577: 4575: 4566: 4565: 4561: 4551: 4549: 4539: 4535: 4525: 4523: 4504: 4500: 4490: 4488: 4461: 4457: 4447: 4445: 4428: 4424: 4406: 4400: 4396: 4386: 4384: 4376: 4375: 4371: 4361: 4359: 4354: 4353: 4349: 4339: 4337: 4331: 4327: 4317: 4315: 4305: 4301: 4291: 4289: 4280: 4279: 4275: 4268: 4245: 4241: 4231: 4229: 4221: 4220: 4216: 4206: 4204: 4196: 4195: 4191: 4181: 4179: 4171: 4170: 4166: 4156: 4154: 4144: 4137: 4127: 4125: 4115: 4111: 4101: 4099: 4090: 4089: 4085: 4068: 4064: 4011: 4007: 3997: 3995: 3988: 3984: 3974: 3972: 3963: 3962: 3958: 3948: 3946: 3934: 3930: 3920: 3918: 3906: 3902: 3892: 3890: 3881: 3880: 3876: 3866: 3864: 3853: 3852: 3848: 3838: 3836: 3826: 3822: 3812: 3810: 3801: 3800: 3796: 3783: 3782: 3778: 3760: 3756: 3746: 3744: 3736: 3735: 3731: 3721: 3719: 3709: 3705: 3695: 3693: 3683: 3679: 3669: 3667: 3657: 3653: 3643: 3588: 3582:Hassabis, Demis 3563: 3556: 3546: 3544: 3536: 3535: 3531: 3461: 3457: 3447: 3445: 3437: 3436: 3432: 3423: 3422: 3418: 3409: 3408: 3404: 3391: 3390: 3383: 3370: 3369: 3365: 3352: 3351: 3342: 3329: 3328: 3324: 3314: 3312: 3302: 3298: 3288: 3286: 3285:. 31 March 2020 3277: 3276: 3272: 3255: 3251: 3241: 3239: 3230: 3229: 3225: 3208: 3204: 3194: 3192: 3183: 3182: 3178: 3163: 3162: 3153: 3136: 3129: 3119: 3117: 3107: 3103: 3091: 3087: 3077: 3075: 3067: 3066: 3062: 3052: 3050: 3041: 3040: 3036: 3019: 3015: 3005: 3003: 2984: 2980: 2970: 2968: 2951: 2947: 2937: 2935: 2925: 2921: 2915:Financial Times 2908: 2904: 2894: 2892: 2884: 2883: 2879: 2869: 2867: 2859: 2858: 2854: 2839: 2835: 2825: 2823: 2808: 2804: 2794: 2792: 2783: 2782: 2778: 2768: 2766: 2756: 2752: 2742: 2740: 2735: 2734: 2730: 2683: 2676: 2666: 2664: 2660: 2659: 2655: 2645: 2643: 2635: 2634: 2630: 2620: 2618: 2610: 2609: 2605: 2595: 2593: 2584: 2583: 2579: 2569: 2567: 2562: 2561: 2557: 2538: 2534: 2523: 2519: 2509: 2507: 2503: 2502: 2498: 2488: 2486: 2484:Financial Times 2476: 2472: 2462: 2460: 2452:Marr, Bernard. 2450: 2446: 2436: 2434: 2426: 2425: 2421: 2411: 2409: 2406:Financial Times 2400: 2399: 2395: 2385: 2383: 2368: 2367: 2363: 2358:. 28 July 2022. 2350: 2349: 2342: 2327: 2320: 2310: 2308: 2298: 2294: 2277:Hassabis, Demis 2270: 2266: 2257: 2255: 2246: 2242: 2180: 2176: 2165:Wayback Machine 2156: 2152: 2132: 2128: 2115: 2114: 2110: 2097: 2096: 2089: 2079: 2077: 2067: 2060: 2050: 2048: 2044:Companies House 2037: 2036: 2032: 2013: 2009: 1999: 1997: 1993:Companies House 1986: 1985: 1981: 1971: 1969: 1961: 1960: 1956: 1946: 1944: 1941:Companies House 1934: 1933: 1929: 1924: 1892: 1883:Marc Deisenroth 1837: 1817: 1809:Fiona Caldicott 1755:In April 2016, 1753: 1721:. Staff at the 1681: 1679:DeepMind Health 1655: 1632: 1626: 1604: 1568: 1562: 1533: 1528: 1515: 1476: 1460: 1452: 1440:Google I/O 2024 1431:In May 2024, a 1429: 1420: 1411: 1405: 1374: 1368: 1344: 1285: 1283:Language models 1247:protein folding 1243: 1237: 1235:Protein folding 1195: 1189: 1099:five-game match 1068: 1052:Main articles: 1050: 973:deep Q-learning 953: 925:Quake III Arena 909: 859: 858: 857: 856: 855: 852: 843: 842: 841: 838: 749:was founded by 743: 734:benchmark tests 722:protein folding 673:models to play 614: 585: 584: 575: 567: 566: 542: 532: 531: 503:Control problem 483: 473: 472: 384: 374: 373: 334: 326: 325: 296:Computer vision 271: 228: 207: 201: 162: 136: 118: 88: 86: 83: 54:Google DeepMind 51: 33:Google DeepMind 28: 23: 22: 15: 12: 11: 5: 13398: 13388: 13387: 13382: 13377: 13372: 13367: 13362: 13357: 13352: 13347: 13342: 13337: 13320: 13319: 13309: 13306: 13305: 13303: 13302: 13297: 13290: 13283: 13276: 13269: 13264: 13257: 13251: 13249: 13245: 13244: 13242: 13241: 13236: 13231: 13226: 13221: 13216: 13211: 13206: 13201: 13196: 13191: 13186: 13181: 13176: 13171: 13166: 13161: 13156: 13151: 13146: 13141: 13136: 13130: 13128: 13124: 13123: 13121: 13120: 13115: 13110: 13105: 13100: 13095: 13090: 13085: 13080: 13075: 13070: 13065: 13060: 13055: 13049: 13047: 13043: 13042: 13040: 13039: 13034: 13029: 13024: 13022:Machine ethics 13019: 13014: 13009: 13004: 12999: 12994: 12989: 12984: 12979: 12974: 12969: 12964: 12959: 12953: 12951: 12947: 12946: 12935: 12934: 12927: 12920: 12912: 12903: 12902: 12900: 12899: 12898: 12897: 12892: 12879: 12878: 12877: 12872: 12858: 12855: 12854: 12852: 12851: 12846: 12841: 12836: 12831: 12826: 12821: 12816: 12811: 12806: 12801: 12796: 12791: 12786: 12781: 12775: 12773: 12769: 12768: 12766: 12765: 12760: 12755: 12750: 12745: 12740: 12735: 12730: 12725: 12719: 12717: 12713: 12712: 12710: 12709: 12707:Ilya Sutskever 12704: 12699: 12694: 12689: 12684: 12679: 12674: 12672:Demis Hassabis 12669: 12664: 12662:Ian Goodfellow 12659: 12654: 12648: 12646: 12642: 12641: 12638: 12637: 12635: 12634: 12629: 12628: 12627: 12617: 12612: 12607: 12602: 12597: 12592: 12587: 12581: 12579: 12575: 12574: 12572: 12571: 12566: 12561: 12556: 12551: 12546: 12541: 12536: 12531: 12526: 12521: 12516: 12511: 12506: 12501: 12496: 12491: 12490: 12489: 12479: 12474: 12469: 12464: 12459: 12453: 12451: 12447: 12446: 12444: 12443: 12438: 12437: 12436: 12431: 12421: 12420: 12419: 12414: 12409: 12399: 12394: 12389: 12384: 12379: 12374: 12369: 12364: 12359: 12353: 12351: 12344: 12340: 12339: 12337: 12336: 12331: 12326: 12321: 12316: 12311: 12306: 12300: 12298: 12294: 12293: 12291: 12290: 12285: 12280: 12275: 12270: 12264: 12262: 12258: 12257: 12255: 12254: 12253: 12252: 12245:Language model 12242: 12237: 12232: 12231: 12230: 12220: 12219: 12218: 12207: 12205: 12201: 12200: 12198: 12197: 12195:Autoregression 12192: 12187: 12186: 12185: 12175: 12173:Regularization 12170: 12169: 12168: 12163: 12158: 12148: 12143: 12138: 12136:Loss functions 12133: 12128: 12123: 12118: 12113: 12112: 12111: 12101: 12096: 12095: 12094: 12083: 12081: 12077: 12076: 12074: 12073: 12071:Inductive bias 12068: 12063: 12058: 12053: 12048: 12043: 12038: 12033: 12025: 12023: 12017: 12016: 12011: 12010: 12003: 11996: 11988: 11979: 11978: 11976: 11975: 11965: 11955: 11945: 11935: 11924: 11921: 11920: 11917: 11916: 11913: 11912: 11910: 11909: 11904: 11899: 11894: 11892:Pimp My Search 11889: 11888: 11887: 11882: 11877: 11872: 11862: 11857: 11852: 11844: 11842: 11838: 11837: 11835: 11834: 11827: 11824:The Internship 11820: 11813: 11806: 11799: 11792: 11787: 11782: 11774: 11766: 11764: 11760: 11759: 11757: 11756: 11749: 11742: 11735: 11728: 11721: 11714: 11707: 11700: 11692: 11690: 11684: 11683: 11681: 11680: 11673: 11666: 11659: 11652: 11644: 11642: 11636: 11635: 11633: 11632: 11627: 11622: 11617: 11612: 11607: 11600: 11595: 11590: 11585: 11580: 11578:Google hacking 11575: 11570: 11565: 11564: 11563: 11556:Google bombing 11553: 11548: 11543: 11535: 11533: 11525: 11524: 11514: 11513: 11510: 11509: 11507: 11506: 11495: 11492: 11491: 11489: 11488: 11480: 11472: 11464: 11455: 11453: 11449: 11448: 11446: 11445: 11437: 11429: 11421: 11413: 11407: 11399: 11391: 11382: 11380: 11376: 11375: 11373: 11372: 11367: 11359: 11351: 11343: 11335: 11327: 11317: 11315: 11311: 11310: 11308: 11307: 11299: 11291: 11283: 11275: 11274:(2010–present) 11272:European Union 11268: 11266: 11262: 11261: 11259: 11258: 11253: 11245: 11237: 11229: 11221: 11212: 11210: 11206: 11205: 11198: 11197: 11190: 11183: 11175: 11168: 11167: 11164: 11163: 11160: 11159: 11157: 11156: 11151: 11146: 11141: 11136: 11129: 11122: 11115: 11114: 11113: 11108: 11103: 11101:Smart Speakers 11093: 11088: 11081: 11080: 11079: 11072: 11065: 11055: 11048: 11043: 11037: 11035: 11031: 11030: 11028: 11027: 11026: 11025: 11020: 11013: 11006: 10996: 10990: 10985: 10980: 10975: 10970: 10969: 10968: 10957: 10955: 10951: 10950: 10948: 10947: 10946: 10945: 10940: 10935: 10930: 10925: 10920: 10910: 10909: 10908: 10903: 10898: 10893: 10888: 10876: 10870: 10868: 10864: 10863: 10861: 10860: 10853: 10846: 10845: 10844: 10839: 10834: 10829: 10824: 10819: 10814: 10809: 10804: 10799: 10794: 10789: 10784: 10779: 10774: 10769: 10764: 10759: 10749: 10748: 10747: 10742: 10737: 10732: 10727: 10722: 10717: 10712: 10707: 10695: 10690: 10682: 10680: 10672: 10671: 10661: 10660: 10657: 10656: 10653: 10652: 10649: 10648: 10646: 10645: 10638: 10637: 10636: 10622: 10617: 10610: 10609: 10608: 10596: 10591: 10585: 10583: 10577: 10576: 10574: 10573: 10568: 10563: 10561:Remote Desktop 10558: 10551: 10546: 10541: 10533: 10531: 10525: 10524: 10522: 10521: 10514: 10509: 10502: 10497: 10490: 10483: 10478: 10473: 10466: 10461: 10456: 10449: 10442: 10437: 10430: 10425: 10420: 10413: 10408: 10403: 10396: 10391: 10384: 10377: 10372: 10365: 10358: 10351: 10348:Gesture Search 10344: 10339: 10334: 10329: 10324: 10322:Find My Device 10319: 10314: 10307: 10302: 10297: 10290: 10285: 10278: 10275:Building Maker 10271: 10264: 10257: 10252: 10247: 10242: 10235: 10230: 10229: 10228: 10223: 10212: 10206: 10202: 10201: 10199: 10198: 10197: 10196: 10186: 10181: 10176: 10171: 10166: 10159: 10153: 10151: 10147: 10146: 10143: 10142: 10140: 10139: 10134: 10129: 10122: 10115: 10110: 10103: 10102: 10101: 10091: 10083: 10081: 10077: 10076: 10074: 10073: 10068: 10063: 10058: 10053: 10048: 10041: 10036: 10031: 10025: 10023: 10017: 10016: 10014: 10013: 10006: 10001: 9994: 9989: 9982: 9975: 9970: 9965: 9958: 9951: 9944: 9939: 9932: 9927: 9922: 9915: 9910: 9905: 9898: 9890: 9884: 9878: 9877: 9875: 9874: 9869: 9862: 9855: 9850: 9843: 9842: 9841: 9834: 9827: 9822: 9810: 9809: 9808: 9801: 9796: 9786: 9785: 9784: 9779: 9765: 9758: 9751: 9744: 9739: 9734: 9729: 9724: 9719: 9713: 9711: 9705: 9704: 9702: 9701: 9696: 9691: 9690: 9689: 9688: 9687: 9682: 9672: 9667: 9660: 9653: 9641: 9634: 9629: 9623: 9621: 9617: 9616: 9614: 9613: 9606: 9601: 9600: 9599: 9587: 9586: 9585: 9575: 9570: 9563: 9562: 9561: 9547: 9542: 9535: 9530: 9525: 9518: 9513: 9506: 9501: 9496: 9495: 9494: 9487: 9477: 9470: 9469: 9468: 9461: 9449: 9442: 9441: 9440: 9433: 9421: 9416: 9409: 9404: 9397: 9390: 9383: 9378: 9376:Dataset Search 9373: 9368: 9361: 9360: 9359: 9349: 9342: 9335: 9328: 9321: 9316: 9308: 9306: 9300: 9299: 9297: 9296: 9289: 9282: 9277: 9276: 9275: 9263: 9256: 9249: 9242: 9235: 9234: 9233: 9219: 9212: 9205: 9198: 9191: 9186: 9181: 9174: 9167: 9160: 9159: 9158: 9151: 9141: 9134: 9127: 9122: 9121: 9120: 9115: 9108: 9098: 9091: 9084: 9081:Friend Connect 9077: 9072: 9065: 9058: 9051: 9046: 9041: 9034: 9027: 9019: 9017: 9013: 9012: 9009: 9008: 9006: 9005: 9000: 8995: 8990: 8985: 8978: 8975:YouTube Rewind 8971: 8970: 8969: 8959: 8954: 8949: 8944: 8939: 8934: 8929: 8921: 8919: 8913: 8912: 8910: 8909: 8904: 8899: 8892: 8885: 8880: 8875: 8869: 8867: 8861: 8860: 8858: 8857: 8850: 8845: 8840: 8839: 8838: 8831: 8817: 8810: 8805: 8800: 8793: 8788: 8781: 8776: 8771: 8763: 8757: 8749: 8748: 8736: 8735: 8732: 8731: 8728: 8727: 8724: 8723: 8721: 8720: 8715: 8710: 8705: 8700: 8699: 8698: 8697: 8696: 8686: 8681: 8669: 8668: 8667: 8657: 8651: 8649: 8645: 8644: 8642: 8641: 8636: 8631: 8624: 8619: 8618: 8617: 8610: 8605: 8600: 8595: 8585: 8580: 8575: 8570: 8565: 8560: 8555: 8548: 8543: 8538: 8532: 8526: 8522: 8521: 8519: 8518: 8513: 8508: 8503: 8498: 8497: 8496: 8491: 8481: 8475: 8473: 8469: 8468: 8466: 8465: 8460: 8455: 8450: 8445: 8440: 8433: 8428: 8426:Search Console 8423: 8418: 8413: 8408: 8403: 8396: 8391: 8386: 8381: 8374: 8369: 8362: 8357: 8352: 8347: 8342: 8337: 8332: 8327: 8322: 8317: 8310: 8305: 8300: 8295: 8288: 8286:Android Studio 8283: 8278: 8271: 8265: 8263: 8259: 8258: 8255: 8254: 8252: 8251: 8246: 8239: 8234: 8229: 8222: 8217: 8212: 8207: 8202: 8197: 8190: 8188:Compute Engine 8185: 8184: 8183: 8173: 8166: 8160: 8158: 8150: 8149: 8147: 8146: 8139: 8134: 8129: 8124: 8119: 8114: 8107: 8106: 8105: 8100: 8088: 8087: 8086: 8081: 8071: 8070: 8069: 8060:Cloud Platform 8057: 8052: 8045: 8039: 8033: 8029: 8028: 8026: 8025: 8020: 8013: 8008: 8003: 7998: 7993: 7986: 7981: 7976: 7969: 7964: 7959: 7952: 7947: 7942: 7937: 7932: 7927: 7922: 7917: 7912: 7907: 7902: 7897: 7892: 7885: 7880: 7875: 7870: 7865: 7860: 7855: 7850: 7845: 7840: 7835: 7830: 7825: 7824: 7823: 7811: 7806: 7800: 7798: 7792: 7791: 7789: 7788: 7781: 7776: 7775: 7774: 7769: 7759: 7758: 7757: 7752: 7747: 7740: 7733: 7728: 7723: 7718: 7707: 7705: 7697: 7696: 7684: 7683: 7680: 7679: 7676: 7675: 7672: 7671: 7669: 7668: 7663: 7655: 7650: 7645: 7640: 7635: 7630: 7625: 7620: 7614: 7612: 7606: 7605: 7603: 7602: 7597: 7592: 7587: 7582: 7581: 7580: 7570: 7565: 7560: 7555: 7548: 7543: 7538: 7533: 7528: 7522: 7516: 7510: 7509: 7507: 7506: 7501: 7500: 7499: 7494: 7489: 7487:Creator Awards 7481: 7476: 7475: 7474: 7469: 7461: 7454: 7449: 7442: 7437: 7432: 7427: 7422: 7417: 7410: 7405: 7400: 7393: 7388: 7386:Made with Code 7383: 7378: 7373: 7368: 7363: 7358: 7351: 7344: 7337: 7332: 7327: 7325:Digital Garage 7322: 7317: 7312: 7307: 7300: 7295: 7290: 7289: 7288: 7283: 7273: 7267: 7265: 7259: 7258: 7255: 7254: 7252: 7251: 7246: 7241: 7236: 7231: 7226: 7221: 7215: 7213: 7209: 7208: 7206: 7205: 7200: 7198:Summer of Code 7195: 7190: 7183: 7176: 7173:Living Stories 7169: 7164: 7159: 7152: 7147: 7142: 7135: 7130: 7125: 7124: 7123: 7118: 7113: 7104: 7098: 7094: 7093: 7091: 7090: 7085: 7084: 7083: 7082: 7081: 7074: 7057: 7056: 7055: 7050: 7045: 7040: 7031: 7029: 7025: 7024: 7022: 7021: 7016: 7011: 7006: 7001: 6996: 6991: 6986: 6981: 6974: 6972:Chelsea Market 6969: 6964: 6959: 6952: 6945: 6939: 6937: 6933: 6932: 6929: 6928: 6926: 6925: 6923:Susan Wojcicki 6920: 6915: 6910: 6905: 6900: 6895: 6890: 6884: 6879: 6874: 6869: 6864: 6862:David Drummond 6859: 6854: 6852:David Cheriton 6849: 6843: 6837: 6835: 6831: 6830: 6828: 6827: 6822: 6817: 6812: 6806: 6800: 6795: 6790: 6785: 6780: 6778:Salar Kamangar 6775: 6770: 6765: 6760: 6755: 6750: 6745: 6740: 6738:Krishna Bharat 6734: 6732: 6725: 6719: 6718: 6716: 6715: 6714: 6713: 6708: 6703: 6696: 6686: 6684:Sustainability 6681: 6676: 6675: 6674: 6664: 6659: 6654: 6647: 6646: 6645: 6640: 6635: 6625: 6620: 6615: 6610: 6609: 6608: 6596: 6595: 6594: 6589: 6584: 6579: 6569: 6568: 6567: 6562: 6550: 6544: 6542: 6534: 6533: 6523: 6522: 6520: 6519: 6514: 6513: 6512: 6502: 6497: 6492: 6486: 6483: 6482: 6475: 6474: 6467: 6460: 6452: 6443: 6442: 6440: 6439: 6429: 6418: 6415: 6414: 6412: 6411: 6406: 6401: 6396: 6391: 6386: 6378: 6376: 6372: 6371: 6368: 6367: 6365: 6364: 6357: 6355: 6351: 6350: 6348: 6347: 6341: 6335: 6329: 6323: 6317: 6310: 6308: 6304: 6303: 6301: 6300: 6294: 6288: 6281: 6279: 6272: 6268: 6267: 6264: 6263: 6261: 6260: 6255: 6250: 6244: 6242: 6238: 6237: 6235: 6234: 6228: 6222: 6215: 6213: 6206: 6202: 6201: 6198: 6197: 6195: 6194: 6188: 6182: 6176: 6169: 6167: 6163: 6162: 6159: 6158: 6156: 6155: 6147: 6138: 6136: 6132: 6131: 6129: 6128: 6122: 6116: 6109: 6107: 6103: 6102: 6100: 6099: 6093: 6087: 6081: 6075: 6068: 6066: 6059: 6052: 6048: 6047: 6045: 6044: 6039: 6034: 6028: 6025: 6024: 6017: 6016: 6009: 6002: 5994: 5988: 5987: 5982: 5966: 5965:External links 5963: 5960: 5959: 5941: 5923: 5905: 5879: 5851: 5825: 5800: 5781: 5753: 5737:"For Patients" 5728: 5703: 5673: 5645: 5624: 5604: 5583: 5550: 5524: 5498: 5472: 5446: 5428: 5410: 5388: 5366: 5343: 5320: 5316:. 14 May 2024. 5301: 5297:. 14 May 2024. 5282: 5256: 5252:. 14 May 2024. 5237: 5206: 5180: 5154: 5125: 5096: 5072: 5027: 4971: 4947: 4922: 4855: 4822: 4799: 4740: 4715: 4704:. 23 June 2023 4689: 4663: 4637: 4611: 4585: 4559: 4533: 4498: 4455: 4422: 4394: 4369: 4347: 4325: 4299: 4286:Google AI Blog 4273: 4266: 4239: 4214: 4189: 4164: 4135: 4109: 4083: 4062: 4005: 3982: 3956: 3928: 3900: 3874: 3863:. 23 July 2019 3846: 3820: 3794: 3776: 3754: 3729: 3703: 3677: 3659:Knight, Will. 3651: 3554: 3529: 3455: 3430: 3416: 3402: 3381: 3363: 3340: 3337:. 9 July 2022. 3322: 3296: 3270: 3249: 3234:. The Physics 3223: 3202: 3176: 3151: 3127: 3101: 3099:. 3 July 2018. 3085: 3060: 3034: 3013: 2978: 2945: 2919: 2902: 2877: 2852: 2833: 2802: 2776: 2750: 2728: 2674: 2653: 2628: 2603: 2577: 2555: 2532: 2517: 2496: 2470: 2444: 2419: 2393: 2361: 2340: 2318: 2292: 2264: 2240: 2174: 2150: 2126: 2123:. 14 May 2024. 2108: 2105:. 14 May 2024. 2087: 2058: 2030: 2007: 1979: 1954: 1926: 1925: 1923: 1920: 1919: 1918: 1913: 1908: 1903: 1898: 1891: 1888: 1887: 1886: 1875: 1860: 1836: 1833: 1816: 1813: 1752: 1749: 1680: 1677: 1654: 1651: 1628:Main article: 1625: 1622: 1603: 1600: 1595:synthetic data 1564:Main article: 1561: 1558: 1532: 1529: 1527: 1524: 1514: 1511: 1488:Eleanor Dickey 1475: 1472: 1459: 1456: 1451: 1448: 1428: 1425: 1419: 1416: 1407:Main article: 1404: 1401: 1370:Main article: 1367: 1364: 1343: 1340: 1293:text-to-speech 1284: 1281: 1277:benchmark test 1239:Main article: 1236: 1233: 1191:Main article: 1188: 1185: 1101:. In the 2017 1049: 1046: 986:Space Invaders 952: 949: 908: 905: 853: 846: 845: 844: 839: 832: 831: 830: 829: 828: 800:Scott Banister 784:Space Invaders 751:Demis Hassabis 742: 739: 671:neural network 660:Turing machine 616: 615: 613: 612: 605: 598: 590: 587: 586: 583: 582: 576: 573: 572: 569: 568: 565: 564: 559: 554: 549: 543: 538: 537: 534: 533: 530: 529: 524: 519: 514: 509: 500: 495: 490: 484: 479: 478: 475: 474: 471: 470: 465: 460: 455: 450: 449: 448: 438: 433: 428: 427: 426: 421: 416: 406: 401: 399:Earth sciences 396: 391: 389:Bioinformatics 385: 380: 379: 376: 375: 372: 371: 366: 361: 356: 351: 346: 341: 335: 332: 331: 328: 327: 324: 323: 318: 313: 308: 303: 298: 293: 288: 283: 278: 272: 267: 266: 263: 262: 252: 251: 245: 244: 236: 235: 226: 222: 221: 218: 212: 211: 202: 199: 196: 195: 190: 186: 185: 168: 164: 163: 161: 160: 150: 143:Demis Hassabis 139: 137: 134: 131: 130: 124: 120: 119: 117: 116: 111: 106: 104:Demis Hassabis 100: 98: 94: 93: 80: 76: 75: 70: 66: 65: 60: 56: 55: 52: 47: 44: 43: 26: 9: 6: 4: 3: 2: 13397: 13386: 13383: 13381: 13378: 13376: 13373: 13371: 13370:Alphabet Inc. 13368: 13366: 13363: 13361: 13358: 13356: 13353: 13351: 13350:Deep learning 13348: 13346: 13343: 13341: 13338: 13336: 13333: 13332: 13330: 13317: 13307: 13301: 13298: 13296: 13295: 13291: 13289: 13288: 13284: 13282: 13281: 13280:The Precipice 13277: 13275: 13274: 13270: 13268: 13265: 13263: 13262: 13258: 13256: 13253: 13252: 13250: 13246: 13240: 13237: 13235: 13232: 13230: 13229:Frank Wilczek 13227: 13225: 13222: 13220: 13217: 13215: 13212: 13210: 13207: 13205: 13202: 13200: 13197: 13195: 13192: 13190: 13187: 13185: 13182: 13180: 13177: 13175: 13174:Dan Hendrycks 13172: 13170: 13167: 13165: 13162: 13160: 13157: 13155: 13152: 13150: 13147: 13145: 13144:Yoshua Bengio 13142: 13140: 13137: 13135: 13132: 13131: 13129: 13125: 13119: 13116: 13114: 13111: 13109: 13106: 13104: 13101: 13099: 13096: 13094: 13091: 13089: 13086: 13084: 13081: 13079: 13076: 13074: 13071: 13069: 13066: 13064: 13061: 13059: 13056: 13054: 13051: 13050: 13048: 13046:Organizations 13044: 13038: 13035: 13033: 13030: 13028: 13025: 13023: 13020: 13018: 13015: 13013: 13010: 13008: 13005: 13003: 13000: 12998: 12995: 12993: 12990: 12988: 12985: 12983: 12980: 12978: 12975: 12973: 12970: 12968: 12965: 12963: 12960: 12958: 12955: 12954: 12952: 12948: 12944: 12940: 12933: 12928: 12926: 12921: 12919: 12914: 12913: 12910: 12896: 12893: 12891: 12888: 12887: 12880: 12876: 12873: 12871: 12868: 12867: 12864: 12860: 12859: 12856: 12850: 12847: 12845: 12842: 12840: 12837: 12835: 12832: 12830: 12827: 12825: 12822: 12820: 12817: 12815: 12812: 12810: 12807: 12805: 12802: 12800: 12797: 12795: 12792: 12790: 12787: 12785: 12782: 12780: 12777: 12776: 12774: 12772:Architectures 12770: 12764: 12761: 12759: 12756: 12754: 12751: 12749: 12746: 12744: 12741: 12739: 12736: 12734: 12731: 12729: 12726: 12724: 12721: 12720: 12718: 12716:Organizations 12714: 12708: 12705: 12703: 12700: 12698: 12695: 12693: 12690: 12688: 12685: 12683: 12680: 12678: 12675: 12673: 12670: 12668: 12665: 12663: 12660: 12658: 12655: 12653: 12652:Yoshua Bengio 12650: 12649: 12647: 12643: 12633: 12632:Robot control 12630: 12626: 12623: 12622: 12621: 12618: 12616: 12613: 12611: 12608: 12606: 12603: 12601: 12598: 12596: 12593: 12591: 12588: 12586: 12583: 12582: 12580: 12576: 12570: 12567: 12565: 12562: 12560: 12557: 12555: 12552: 12550: 12549:Chinchilla AI 12547: 12545: 12542: 12540: 12537: 12535: 12532: 12530: 12527: 12525: 12522: 12520: 12517: 12515: 12512: 12510: 12507: 12505: 12502: 12500: 12497: 12495: 12492: 12488: 12485: 12484: 12483: 12480: 12478: 12475: 12473: 12470: 12468: 12465: 12463: 12460: 12458: 12455: 12454: 12452: 12448: 12442: 12439: 12435: 12432: 12430: 12427: 12426: 12425: 12422: 12418: 12415: 12413: 12410: 12408: 12405: 12404: 12403: 12400: 12398: 12395: 12393: 12390: 12388: 12385: 12383: 12380: 12378: 12375: 12373: 12370: 12368: 12365: 12363: 12360: 12358: 12355: 12354: 12352: 12348: 12345: 12341: 12335: 12332: 12330: 12327: 12325: 12322: 12320: 12317: 12315: 12312: 12310: 12307: 12305: 12302: 12301: 12299: 12295: 12289: 12286: 12284: 12281: 12279: 12276: 12274: 12271: 12269: 12266: 12265: 12263: 12259: 12251: 12248: 12247: 12246: 12243: 12241: 12238: 12236: 12233: 12229: 12228:Deep learning 12226: 12225: 12224: 12221: 12217: 12214: 12213: 12212: 12209: 12208: 12206: 12202: 12196: 12193: 12191: 12188: 12184: 12181: 12180: 12179: 12176: 12174: 12171: 12167: 12164: 12162: 12159: 12157: 12154: 12153: 12152: 12149: 12147: 12144: 12142: 12139: 12137: 12134: 12132: 12129: 12127: 12124: 12122: 12119: 12117: 12116:Hallucination 12114: 12110: 12107: 12106: 12105: 12102: 12100: 12097: 12093: 12090: 12089: 12088: 12085: 12084: 12082: 12078: 12072: 12069: 12067: 12064: 12062: 12059: 12057: 12054: 12052: 12049: 12047: 12044: 12042: 12039: 12037: 12034: 12032: 12031: 12027: 12026: 12024: 12022: 12018: 12009: 12004: 12002: 11997: 11995: 11990: 11989: 11986: 11974: 11966: 11964: 11956: 11954: 11946: 11944: 11936: 11933: 11929: 11926: 11925: 11922: 11908: 11905: 11903: 11900: 11898: 11895: 11893: 11890: 11886: 11883: 11881: 11878: 11876: 11873: 11871: 11868: 11867: 11866: 11863: 11861: 11858: 11856: 11853: 11850: 11846: 11845: 11843: 11839: 11833: 11832: 11828: 11826: 11825: 11821: 11819: 11818: 11814: 11812: 11811: 11807: 11805: 11804: 11800: 11798: 11797: 11793: 11791: 11788: 11786: 11783: 11781: 11779: 11775: 11773: 11772: 11768: 11767: 11765: 11761: 11755: 11754: 11750: 11748: 11747: 11743: 11741: 11740: 11736: 11734: 11733: 11729: 11727: 11726: 11722: 11720: 11719: 11715: 11713: 11712: 11708: 11706: 11705: 11701: 11699: 11698: 11694: 11693: 11691: 11689: 11685: 11679: 11678: 11674: 11672: 11671: 11667: 11665: 11664: 11660: 11658: 11657: 11653: 11651: 11650: 11646: 11645: 11643: 11641: 11640:Documentaries 11637: 11631: 11628: 11626: 11623: 11621: 11618: 11616: 11613: 11611: 11608: 11605: 11601: 11599: 11596: 11594: 11591: 11589: 11586: 11584: 11581: 11579: 11576: 11574: 11571: 11569: 11568:Google effect 11566: 11562: 11559: 11558: 11557: 11554: 11552: 11551:Google (verb) 11549: 11547: 11544: 11541: 11540:Don't be evil 11537: 11536: 11534: 11530: 11526: 11519: 11515: 11505: 11497: 11496: 11493: 11486: 11485: 11481: 11478: 11477: 11473: 11470: 11469: 11465: 11462: 11461: 11457: 11456: 11454: 11450: 11443: 11442: 11441:Frank v. Gaos 11438: 11435: 11434: 11430: 11427: 11426: 11422: 11419: 11418: 11414: 11411: 11408: 11405: 11404: 11400: 11397: 11396: 11392: 11389: 11388: 11384: 11383: 11381: 11377: 11371: 11368: 11365: 11364: 11360: 11357: 11356: 11352: 11349: 11348: 11344: 11341: 11340: 11336: 11333: 11332: 11328: 11325: 11323: 11319: 11318: 11316: 11312: 11305: 11304: 11300: 11297: 11296: 11292: 11289: 11288: 11284: 11281: 11280: 11276: 11273: 11270: 11269: 11267: 11263: 11257: 11254: 11251: 11250: 11246: 11243: 11242: 11238: 11235: 11234: 11230: 11227: 11226: 11222: 11219: 11218: 11214: 11213: 11211: 11207: 11203: 11196: 11191: 11189: 11184: 11182: 11177: 11176: 11173: 11169: 11155: 11152: 11150: 11147: 11145: 11142: 11140: 11137: 11135: 11134: 11130: 11128: 11127: 11123: 11121: 11120: 11116: 11112: 11109: 11107: 11104: 11102: 11099: 11098: 11097: 11094: 11092: 11091:Liquid Galaxy 11089: 11087: 11086: 11082: 11078: 11077: 11073: 11071: 11070: 11066: 11064: 11063: 11059: 11058: 11056: 11054: 11053: 11049: 11047: 11044: 11042: 11039: 11038: 11036: 11032: 11024: 11021: 11019: 11018: 11014: 11012: 11011: 11007: 11005: 11004: 11000: 10999: 10997: 10994: 10991: 10989: 10988:Pixel Watch 3 10986: 10984: 10983:Pixel Watch 2 10981: 10979: 10976: 10974: 10971: 10967: 10964: 10963: 10962: 10959: 10958: 10956: 10952: 10944: 10941: 10939: 10936: 10934: 10931: 10929: 10926: 10924: 10921: 10919: 10916: 10915: 10914: 10911: 10907: 10904: 10902: 10899: 10897: 10894: 10892: 10889: 10887: 10884: 10883: 10882: 10881: 10877: 10875: 10872: 10871: 10869: 10865: 10859: 10858: 10854: 10852: 10851: 10847: 10843: 10840: 10838: 10835: 10833: 10830: 10828: 10825: 10823: 10820: 10818: 10815: 10813: 10810: 10808: 10805: 10803: 10800: 10798: 10795: 10793: 10790: 10788: 10785: 10783: 10780: 10778: 10775: 10773: 10770: 10768: 10765: 10763: 10760: 10758: 10755: 10754: 10753: 10750: 10746: 10743: 10741: 10738: 10736: 10733: 10731: 10728: 10726: 10723: 10721: 10718: 10716: 10713: 10711: 10708: 10706: 10703: 10702: 10701: 10700: 10696: 10694: 10691: 10689: 10688: 10684: 10683: 10681: 10677: 10673: 10666: 10662: 10644: 10643: 10639: 10635: 10634: 10630: 10629: 10628: 10627: 10623: 10621: 10618: 10616: 10615: 10611: 10607: 10606: 10602: 10601: 10600: 10597: 10595: 10592: 10590: 10587: 10586: 10584: 10578: 10572: 10569: 10567: 10564: 10562: 10559: 10557: 10556: 10552: 10550: 10549:Dinosaur Game 10547: 10545: 10542: 10540: 10539: 10535: 10534: 10532: 10530: 10526: 10520: 10519: 10515: 10513: 10510: 10508: 10507: 10503: 10501: 10498: 10496: 10495: 10494:URL Shortener 10491: 10489: 10488: 10484: 10482: 10479: 10477: 10474: 10472: 10471: 10467: 10465: 10462: 10460: 10457: 10455: 10454: 10450: 10448: 10447: 10443: 10441: 10440:Safe Browsing 10438: 10436: 10435: 10431: 10429: 10426: 10424: 10421: 10419: 10418: 10414: 10412: 10411:Person Finder 10409: 10407: 10404: 10402: 10401: 10397: 10395: 10392: 10390: 10389: 10385: 10383: 10382: 10378: 10376: 10373: 10371: 10370: 10366: 10364: 10363: 10359: 10357: 10356: 10352: 10350: 10349: 10345: 10343: 10340: 10338: 10335: 10333: 10330: 10328: 10325: 10323: 10320: 10318: 10315: 10313: 10312: 10308: 10306: 10303: 10301: 10298: 10296: 10295: 10291: 10289: 10286: 10284: 10283: 10279: 10277: 10276: 10272: 10270: 10269: 10265: 10263: 10262: 10258: 10256: 10255:Authenticator 10253: 10251: 10248: 10246: 10243: 10241: 10240: 10236: 10234: 10231: 10227: 10224: 10222: 10219: 10218: 10217: 10214: 10213: 10210: 10207: 10203: 10195: 10192: 10191: 10190: 10187: 10185: 10184:Toontastic 3D 10182: 10180: 10177: 10175: 10172: 10170: 10167: 10165: 10164: 10160: 10158: 10155: 10154: 10152: 10148: 10138: 10135: 10133: 10130: 10128: 10127: 10123: 10121: 10120: 10116: 10114: 10111: 10109: 10108: 10104: 10100: 10097: 10096: 10095: 10092: 10090: 10089: 10085: 10084: 10082: 10078: 10072: 10069: 10067: 10064: 10062: 10059: 10057: 10054: 10052: 10049: 10047: 10046: 10045:Fusion Tables 10042: 10040: 10037: 10035: 10032: 10030: 10027: 10026: 10024: 10022: 10018: 10012: 10011: 10007: 10005: 10002: 10000: 9999: 9995: 9993: 9990: 9988: 9987: 9983: 9981: 9980: 9976: 9974: 9971: 9969: 9966: 9964: 9963: 9959: 9957: 9956: 9952: 9950: 9949: 9945: 9943: 9940: 9938: 9937: 9933: 9931: 9928: 9926: 9923: 9921: 9920: 9916: 9914: 9911: 9909: 9906: 9904: 9903: 9899: 9897: 9896: 9892: 9891: 9888: 9885: 9879: 9873: 9870: 9868: 9867: 9863: 9861: 9860: 9856: 9854: 9851: 9849: 9848: 9844: 9840: 9839: 9835: 9833: 9832: 9828: 9826: 9823: 9821: 9818: 9817: 9816: 9815: 9811: 9807: 9806: 9802: 9800: 9799:Looker Studio 9797: 9795: 9792: 9791: 9790: 9787: 9783: 9780: 9778: 9777: 9773: 9772: 9771: 9770: 9766: 9764: 9763: 9759: 9757: 9756: 9752: 9750: 9749: 9745: 9743: 9740: 9738: 9735: 9733: 9730: 9728: 9725: 9723: 9720: 9718: 9715: 9714: 9712: 9706: 9700: 9697: 9695: 9692: 9686: 9683: 9681: 9678: 9677: 9676: 9673: 9671: 9668: 9666: 9665: 9661: 9659: 9658: 9654: 9652: 9651: 9647: 9646: 9645: 9642: 9640: 9639: 9635: 9633: 9630: 9628: 9625: 9624: 9622: 9618: 9612: 9611: 9607: 9605: 9602: 9598: 9597: 9593: 9592: 9591: 9588: 9584: 9581: 9580: 9579: 9576: 9574: 9571: 9569: 9568: 9564: 9560: 9559: 9555: 9554: 9553: 9552: 9548: 9546: 9543: 9541: 9540: 9536: 9534: 9531: 9529: 9526: 9524: 9523: 9519: 9517: 9514: 9512: 9511: 9507: 9505: 9502: 9500: 9497: 9493: 9492: 9488: 9486: 9483: 9482: 9481: 9478: 9476: 9475: 9471: 9467: 9466: 9462: 9460: 9459: 9455: 9454: 9453: 9450: 9448: 9447: 9443: 9439: 9438: 9434: 9432: 9431: 9430:Image Labeler 9427: 9426: 9425: 9422: 9420: 9417: 9415: 9414: 9410: 9408: 9405: 9403: 9402: 9398: 9396: 9395: 9391: 9389: 9388: 9384: 9382: 9379: 9377: 9374: 9372: 9369: 9367: 9366: 9362: 9358: 9355: 9354: 9353: 9350: 9348: 9347: 9343: 9341: 9340: 9336: 9334: 9333: 9329: 9327: 9326: 9322: 9320: 9317: 9315: 9314: 9310: 9309: 9307: 9305: 9301: 9295: 9294: 9290: 9288: 9287: 9283: 9281: 9278: 9274: 9273: 9269: 9268: 9267: 9264: 9262: 9261: 9257: 9255: 9254: 9250: 9248: 9247: 9243: 9241: 9240: 9236: 9232: 9231: 9227: 9226: 9225: 9224: 9220: 9218: 9217: 9213: 9211: 9210: 9206: 9204: 9203: 9199: 9197: 9196: 9192: 9190: 9187: 9185: 9182: 9180: 9179: 9175: 9173: 9172: 9168: 9166: 9165: 9161: 9157: 9156: 9152: 9150: 9147: 9146: 9145: 9142: 9140: 9139: 9135: 9133: 9132: 9128: 9126: 9123: 9119: 9116: 9114: 9113: 9109: 9107: 9104: 9103: 9102: 9099: 9097: 9096: 9092: 9090: 9089: 9085: 9083: 9082: 9078: 9076: 9073: 9071: 9070: 9066: 9064: 9063: 9059: 9057: 9056: 9052: 9050: 9047: 9045: 9042: 9040: 9039: 9035: 9033: 9032: 9028: 9026: 9025: 9021: 9020: 9018: 9016:Communication 9014: 9004: 9001: 8999: 8996: 8994: 8991: 8989: 8986: 8984: 8983: 8979: 8977: 8976: 8972: 8968: 8965: 8964: 8963: 8960: 8958: 8955: 8953: 8950: 8948: 8945: 8943: 8940: 8938: 8935: 8933: 8930: 8928: 8927: 8923: 8922: 8920: 8918: 8914: 8908: 8905: 8903: 8900: 8898: 8897: 8893: 8891: 8890: 8886: 8884: 8881: 8879: 8876: 8874: 8871: 8870: 8868: 8866: 8862: 8856: 8855: 8851: 8849: 8846: 8844: 8841: 8837: 8836: 8832: 8830: 8829: 8825: 8824: 8823: 8822: 8818: 8816: 8815: 8811: 8809: 8808:Santa Tracker 8806: 8804: 8801: 8799: 8798: 8794: 8792: 8789: 8787: 8786: 8782: 8780: 8779:Owlchemy Labs 8777: 8775: 8772: 8770: 8769: 8765: 8764: 8761: 8758: 8756:Entertainment 8754: 8750: 8746: 8741: 8737: 8719: 8716: 8714: 8711: 8709: 8706: 8704: 8701: 8695: 8692: 8691: 8690: 8687: 8685: 8682: 8680: 8677: 8676: 8675: 8674: 8670: 8666: 8663: 8662: 8661: 8658: 8656: 8653: 8652: 8650: 8646: 8640: 8637: 8635: 8632: 8630: 8629: 8625: 8623: 8620: 8616: 8615: 8611: 8609: 8606: 8604: 8601: 8599: 8596: 8594: 8593: 8589: 8588: 8586: 8584: 8581: 8579: 8576: 8574: 8571: 8569: 8566: 8564: 8561: 8559: 8556: 8554: 8553: 8549: 8547: 8544: 8542: 8539: 8537: 8534: 8533: 8530: 8527: 8523: 8517: 8514: 8512: 8509: 8507: 8504: 8502: 8499: 8495: 8492: 8490: 8487: 8486: 8485: 8482: 8480: 8477: 8476: 8474: 8470: 8464: 8461: 8459: 8456: 8454: 8451: 8449: 8446: 8444: 8441: 8439: 8438: 8434: 8432: 8429: 8427: 8424: 8422: 8419: 8417: 8414: 8412: 8409: 8407: 8404: 8402: 8401: 8397: 8395: 8392: 8390: 8387: 8385: 8382: 8380: 8379: 8375: 8373: 8372:Native Client 8370: 8368: 8367: 8366:Mashup Editor 8363: 8361: 8358: 8356: 8353: 8351: 8348: 8346: 8343: 8341: 8338: 8336: 8333: 8331: 8330:Data Protocol 8328: 8326: 8323: 8321: 8320:Closure Tools 8318: 8316: 8315: 8311: 8309: 8306: 8304: 8301: 8299: 8296: 8294: 8293: 8289: 8287: 8284: 8282: 8279: 8277: 8276: 8272: 8270: 8267: 8266: 8264: 8260: 8250: 8247: 8245: 8244: 8240: 8238: 8235: 8233: 8230: 8228: 8227: 8223: 8221: 8218: 8216: 8213: 8211: 8208: 8206: 8203: 8201: 8198: 8196: 8195: 8191: 8189: 8186: 8182: 8179: 8178: 8177: 8174: 8172: 8171: 8167: 8165: 8162: 8161: 8159: 8157: 8156: 8151: 8145: 8144: 8140: 8138: 8135: 8133: 8130: 8128: 8125: 8123: 8120: 8118: 8115: 8113: 8112: 8108: 8104: 8101: 8099: 8096: 8095: 8094: 8093: 8089: 8085: 8082: 8080: 8077: 8076: 8075: 8072: 8068: 8067: 8063: 8062: 8061: 8058: 8056: 8053: 8051: 8050: 8046: 8044: 8041: 8040: 8037: 8034: 8030: 8024: 8021: 8019: 8018: 8014: 8012: 8009: 8007: 8004: 8002: 7999: 7997: 7994: 7992: 7991: 7987: 7985: 7982: 7980: 7977: 7975: 7974: 7970: 7968: 7965: 7963: 7960: 7958: 7957: 7953: 7951: 7948: 7946: 7943: 7941: 7938: 7936: 7933: 7931: 7928: 7926: 7923: 7921: 7918: 7916: 7913: 7911: 7908: 7906: 7903: 7901: 7898: 7896: 7893: 7891: 7890: 7886: 7884: 7881: 7879: 7876: 7874: 7871: 7869: 7866: 7864: 7861: 7859: 7856: 7854: 7851: 7849: 7846: 7844: 7841: 7839: 7836: 7834: 7831: 7829: 7826: 7822: 7821: 7817: 7816: 7815: 7812: 7810: 7807: 7805: 7802: 7801: 7799: 7793: 7787: 7786: 7782: 7780: 7777: 7773: 7770: 7768: 7765: 7764: 7763: 7760: 7756: 7753: 7751: 7748: 7746: 7745: 7741: 7739: 7738: 7734: 7732: 7729: 7727: 7724: 7722: 7719: 7717: 7714: 7713: 7712: 7709: 7708: 7706: 7702: 7698: 7694: 7689: 7685: 7667: 7664: 7662: 7661: 7658:Reactions to 7656: 7654: 7651: 7649: 7646: 7644: 7641: 7639: 7636: 7634: 7631: 7629: 7626: 7624: 7621: 7619: 7616: 7615: 7613: 7611: 7607: 7601: 7598: 7596: 7593: 7591: 7588: 7586: 7583: 7579: 7576: 7575: 7574: 7571: 7569: 7566: 7564: 7561: 7559: 7556: 7554: 7553: 7549: 7547: 7544: 7542: 7539: 7537: 7534: 7532: 7531:2018 walkouts 7529: 7527: 7524: 7523: 7520: 7517: 7515: 7511: 7505: 7502: 7498: 7495: 7493: 7490: 7488: 7485: 7484: 7482: 7480: 7477: 7473: 7470: 7468: 7465: 7464: 7462: 7460: 7459: 7455: 7453: 7450: 7448: 7447: 7443: 7441: 7438: 7436: 7433: 7431: 7428: 7426: 7423: 7421: 7418: 7416: 7415: 7411: 7409: 7406: 7404: 7401: 7399: 7398: 7394: 7392: 7389: 7387: 7384: 7382: 7381:Liquid Galaxy 7379: 7377: 7374: 7372: 7369: 7367: 7364: 7362: 7359: 7357: 7356: 7352: 7350: 7349: 7345: 7343: 7342: 7338: 7336: 7333: 7331: 7328: 7326: 7323: 7321: 7318: 7316: 7313: 7311: 7308: 7306: 7305: 7301: 7299: 7296: 7294: 7291: 7287: 7284: 7282: 7279: 7278: 7277: 7274: 7272: 7269: 7268: 7266: 7260: 7250: 7247: 7245: 7242: 7240: 7237: 7235: 7232: 7230: 7227: 7225: 7222: 7220: 7217: 7216: 7214: 7210: 7204: 7201: 7199: 7196: 7194: 7191: 7189: 7188: 7184: 7182: 7181: 7177: 7175: 7174: 7170: 7168: 7165: 7163: 7160: 7158: 7157: 7153: 7151: 7150:Doodle4Google 7148: 7146: 7143: 7141: 7140: 7139:Developer Day 7136: 7134: 7131: 7129: 7126: 7122: 7121:Developer Lab 7119: 7117: 7116:Developer Day 7114: 7112: 7109: 7108: 7106: 7105: 7102: 7099: 7095: 7089: 7086: 7080: 7079: 7075: 7073: 7072: 7068: 7067: 7066: 7063: 7062: 7061: 7058: 7054: 7051: 7049: 7046: 7044: 7041: 7039: 7036: 7035: 7033: 7032: 7030: 7026: 7020: 7017: 7015: 7014:YouTube Space 7012: 7010: 7007: 7005: 7002: 7000: 6997: 6995: 6994:Mayfield Mall 6992: 6990: 6987: 6985: 6982: 6980: 6979: 6975: 6973: 6970: 6968: 6965: 6963: 6960: 6958: 6957: 6953: 6951: 6950: 6946: 6944: 6941: 6940: 6938: 6934: 6924: 6921: 6919: 6916: 6914: 6911: 6909: 6906: 6904: 6901: 6899: 6896: 6894: 6891: 6888: 6885: 6883: 6882:Paul Otellini 6880: 6878: 6875: 6873: 6870: 6868: 6865: 6863: 6860: 6858: 6855: 6853: 6850: 6847: 6844: 6842: 6839: 6838: 6836: 6832: 6826: 6823: 6821: 6818: 6816: 6813: 6810: 6807: 6804: 6803:Sundar Pichai 6801: 6799: 6798:Rick Osterloh 6796: 6794: 6791: 6789: 6786: 6784: 6781: 6779: 6776: 6774: 6771: 6769: 6766: 6764: 6761: 6759: 6756: 6754: 6751: 6749: 6746: 6744: 6741: 6739: 6736: 6735: 6733: 6729: 6726: 6724: 6720: 6712: 6709: 6707: 6706:Social impact 6704: 6701: 6700:Me at the zoo 6697: 6695: 6692: 6691: 6690: 6687: 6685: 6682: 6680: 6679:Sidewalk Labs 6677: 6673: 6670: 6669: 6668: 6665: 6663: 6660: 6658: 6655: 6653: 6652: 6648: 6644: 6641: 6639: 6638:Public Alerts 6636: 6634: 6631: 6630: 6629: 6626: 6624: 6621: 6619: 6616: 6614: 6611: 6607: 6606: 6602: 6601: 6600: 6597: 6593: 6590: 6588: 6585: 6583: 6582:recovery mode 6580: 6578: 6575: 6574: 6573: 6570: 6566: 6563: 6561: 6560: 6556: 6555: 6554: 6551: 6549: 6546: 6545: 6543: 6539: 6535: 6528: 6524: 6518: 6515: 6511: 6508: 6507: 6506: 6503: 6501: 6498: 6496: 6493: 6491: 6490:Alphabet Inc. 6488: 6487: 6484: 6480: 6473: 6468: 6466: 6461: 6459: 6454: 6453: 6450: 6438: 6430: 6428: 6420: 6419: 6416: 6410: 6407: 6405: 6402: 6400: 6397: 6395: 6392: 6390: 6387: 6384: 6380: 6379: 6377: 6373: 6362: 6359: 6358: 6356: 6352: 6345: 6342: 6339: 6336: 6333: 6330: 6327: 6324: 6321: 6318: 6315: 6312: 6311: 6309: 6305: 6298: 6295: 6292: 6289: 6286: 6283: 6282: 6280: 6276: 6273: 6271:Generative AI 6269: 6259: 6256: 6254: 6251: 6249: 6246: 6245: 6243: 6239: 6232: 6229: 6226: 6223: 6220: 6217: 6216: 6214: 6210: 6207: 6203: 6192: 6191:AlphaGeometry 6189: 6186: 6183: 6180: 6177: 6174: 6171: 6170: 6168: 6164: 6153: 6152: 6148: 6145: 6144: 6140: 6139: 6137: 6133: 6126: 6123: 6120: 6117: 6114: 6111: 6110: 6108: 6104: 6097: 6094: 6091: 6088: 6085: 6082: 6079: 6076: 6073: 6070: 6069: 6067: 6063: 6060: 6056: 6053: 6049: 6043: 6040: 6038: 6035: 6033: 6030: 6029: 6026: 6022: 6015: 6010: 6008: 6003: 6001: 5996: 5995: 5992: 5986: 5983: 5980: 5974: 5969: 5968: 5955: 5951: 5945: 5937: 5933: 5927: 5919: 5915: 5909: 5894: 5890: 5883: 5868: 5867: 5862: 5855: 5840: 5836: 5829: 5814: 5813:DeepMind Blog 5810: 5804: 5796: 5792: 5785: 5770: 5769: 5764: 5757: 5742: 5738: 5732: 5717: 5713: 5707: 5691: 5687: 5683: 5677: 5662: 5661: 5660:New Scientist 5656: 5649: 5641: 5640: 5635: 5628: 5621:. 4 May 2016. 5620: 5619: 5618:New Scientist 5614: 5608: 5600: 5599: 5598:New Scientist 5594: 5587: 5571: 5567: 5566:The Telegraph 5562: 5554: 5539: 5535: 5528: 5513: 5509: 5502: 5487: 5483: 5476: 5461: 5457: 5450: 5442: 5438: 5432: 5424: 5423:Silicon Angle 5420: 5414: 5398: 5392: 5376: 5370: 5354: 5347: 5331: 5324: 5315: 5314:DeepMind Blog 5311: 5305: 5299:20 July 2016. 5296: 5295:DeepMind Blog 5292: 5286: 5271: 5270:New Scientist 5267: 5260: 5254:18 June 2024. 5251: 5250:DeepMind Blog 5247: 5241: 5225: 5221: 5217: 5210: 5195: 5191: 5184: 5169: 5165: 5158: 5143: 5139: 5132: 5130: 5113: 5109: 5103: 5101: 5092: 5091: 5086: 5079: 5077: 5068: 5064: 5060: 5056: 5052: 5048: 5044: 5043: 5038: 5031: 5023: 5019: 5014: 5009: 5004: 4999: 4995: 4991: 4990: 4985: 4981: 4975: 4967: 4966: 4961: 4954: 4952: 4936: 4932: 4926: 4918: 4914: 4909: 4904: 4900: 4896: 4891: 4886: 4882: 4878: 4874: 4870: 4866: 4859: 4844: 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