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37 Facts About DeepMind
In 2020, DeepMind made significant advances in the problem of protein folding with AlphaFold.
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DeepMind posted a blog post on 28 April 2022 on a single visual language model named Flamingo that can accurately describe a picture of something with just a few training images.
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In July 2022, DeepMind announced the development of DeepNash, a model-free multi-agent reinforcement learning system capable of playing the board game Stratego at the level of a human expert.
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DeepMind was afterwards renamed Google DeepMind and kept that name for about two years.
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In 2014, DeepMind received the "Company of the Year" award from Cambridge Computer Laboratory.
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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 philosopher Nick Bostrom as advisor.
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In October 2017, DeepMind launched a new research team to investigate AI ethics.
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DeepMind hired an external lawyer to investigate allegations that Suleyman had bullied employees, and he was placed on a leave of absence, before leaving to join Google.
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In 2017 DeepMind released GridWorld, an open-source testbed for evaluating whether an algorithm learns to disable its kill switch or otherwise exhibits certain undesirable behaviours.
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In July 2018, researchers from DeepMind trained one of its systems to play the computer game Quake III Arena.
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In 2013, DeepMind published research on an AI system that could surpass human abilities in games such as Pong, Breakout and Enduro, while surpassing state of the art performance on Seaquest, Beamrider, and Q*bert.
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DeepMind's AI had been applied to video games made in the 1970s and 1980s; work was ongoing for more complex 3D games such as Quake, which first appeared in the 1990s.
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In 2020, DeepMind published Agent57, an AI Agent which surpasses human level performance on all 57 games of the Atari2600 suite.
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In October 2015, a computer Go program called AlphaGo, developed by DeepMind, beat the European Go champion Fan Hui, a 2 dan professional, five to zero.
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In October 2022, DeepMind unveiled a new version of AlphaZero, called AlphaTensor, in a paper published in Nature.
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In 2016, DeepMind turned its artificial intelligence to protein folding, one of the toughest problems in science.
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In December 2018, DeepMind's AlphaFold won the 13th Critical Assessment of Techniques for Protein Structure Prediction by successfully predicting the most accurate structure for 25 out of 43 proteins.
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In 2018, DeepMind introduced a more efficient model called WaveRNN co-developed with Google AI.
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In January 2019, DeepMind introduced AlphaStar, a program playing the real-time strategy game StarCraft II.
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In 2022, DeepMind unveiled AlphaCode, an AI-powered coding engine that creates computer programs at a rate comparable to that of an average programmer, with the company testing the system against coding challenges created by Codeforces utilized in human competitive programming competitions.
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Google has stated that DeepMind algorithms have greatly increased the efficiency of cooling its data centers.
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DeepMind has collaborated with the Android team at Google for the creation of two new features which were made available to people with devices running Android Pie, the ninth installment of Google's mobile operating system.
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DeepMind researchers have applied machine learning models to the sport of football, often referred to as soccer in North America, to modelling the behaviour of football players, including the goalkeeper, defenders, and strikers during different scenarios such as penalty kicks.
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DeepMind would be applied to the analysis of anonymised eye scans, searching for early signs of diseases leading to blindness.
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In November 2017, DeepMind announced a research partnership with the Cancer Research UK Centre at Imperial College London with the goal of improving breast cancer detection by applying machine learning to mammography.
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Additionally, in February 2018, DeepMind announced it was working with the U S Department of Veterans Affairs in an attempt to use machine learning to predict the onset of acute kidney injury in patients, and 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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DeepMind developed an app called Streams, which sends alerts to doctors about patients at risk of acute risk injury.
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On 13 November 2018, DeepMind announced that its health division and the Streams app would be absorbed into Google Health.
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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.
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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 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.
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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.
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