Changes

Jump to: navigation, search

Timeline of DeepMind

8,659 bytes added, 12:01, 5 July 2019
no edit summary
{| class="wikitable"
! Time period !! Development summary
|-
| 2010 – 2014 2010–2014 || DeepMind initiates as a British AI startup. Before being acquired by {{w|Google}}, it remains relatively unknown.<ref>{{cite web |title=How Google's Amazing AI Start-Up 'DeepMind' Is Making Our World A Smarter Place |url=https://www.forbes.com/sites/bernardmarr/2017/02/02/how-googles-amazing-ai-start-up-deepmind-is-making-our-world-a-smarter-place/#43263b6edfff |website=forbes.com |accessdate=1 June 2019}}</ref>
|-
| Since 2014 < || Google's DeepMind era. The acquired company starts being known worldwide. Since being acquired by Google, DeepMind's AI would be used to beat humans at board games and create free apps with the British {{w|National Health Service}}. Neither application would make profit for Google so far.<ref name="Google's $500+ million purchase of DeepMind just got very interesting"/>
|-
| Since 2016 < || DeepMind becomes renowned after its {{W|AlphaGo}} program beats a human professional Go player for the first time and again when AlphaGo beats {{W|Lee Sedol}}, the world champion, in a five-game match.<ref>{{cite web |title=DeepMind |url=https://paganresearch.io/details/deepmind |website=paganresearch.io |accessdate=5 June 2019}}</ref>
|-
| Present time || DeepMind is considered today one of the leading {{w|AI}} companies in the world. It has a team of around 700 people, with most of those based out of Google's headquarters in {{w|King's Cross, London}}.<ref name="DeepMind Built An iPhone Space Simulation Game, But Never Released It">{{cite web |title=DeepMind Built An iPhone Space Simulation Game, But Never Released It |url=https://www.forbes.com/sites/samshead/2018/11/02/deepmind-built-an-iphone-space-simulation-game-but-never-released-it/#3d1ec80e662a |website=forbes.com |accessdate=5 June 2019}}</ref>
| 2009 || || Prelude || {{w|Demis Hassabis}} attains a doctorate in {{w|Cognitive Neuroscience}} from {{w|University College London}}.<ref name="Google buys UK artificial intelligence startup Deepmind for £400m"/>
|-
| 2010 || September || Creation || {{w|DeepMind Technologies}} is co-founded by {{w|Demis Hassabis}} alongside {{w|Shane Legg}}, a machine learning researcher from {{w|New Zealand}}, and childhood friend {{w|Mustafa Suleyman}}.<ref name="Google DeepMind: the story behind the world's leading AI startup"/><ref>{{cite web |title=DeepMind’s elusive third cofounder is the man making sure that machines stay on our side |url=https://www.businessinsider.com/shane-legg-google-deepmind-third-cofounder-artificial-intelligence-2017-1 |website=businessinsider.com |accessdate=5 June 2019}}</ref><ref>{{cite web |title=Neuroscience, intuition and superhumans - how DeepMind co-founder and UCL alumnus Demis Hassabis is leading the Artificial Intelligence revolution |url=https://www.ucl.ac.uk/news/2016/nov/neuroscience-intuition-and-superhumans-how-deepmind-co-founder-and-ucl-alumnus-demis |website=ucl.ac.uk |accessdate=5 June 2019}}</ref>
|-
| 2011 || February 1 || Funding || DeepMind raises an undisclosed amount from {{w|Founders Fund}} and {{w|Horizons Ventures}}.<ref name="DeepMind Recent News & Activity">{{cite web |title=DeepMind > Recent News & Activity |url=https://www.crunchbase.com/organization/deepmind/timeline/timeline#section-recent-news-activity |website=crunchbase.com |accessdate=29 May 2019}}</ref>
|-
| 2012 || December || Acquisition || {{w|Facebook}} reportedly fails to acquire DeepMind, according to {{w|Forbes}}.<ref name="Google buys UK artificial intelligence startup Deepmind for £400m">{{cite web |title=Google buys UK artificial intelligence startup Deepmind for £400m |url=https://www.theguardian.com/technology/2014/jan/27/google-acquires-uk-artificial-intelligence-startup-deepmind |website=theguardian.com |accessdate=29 May 2019}}</ref> Discussions between DeepMind talks with and Facebook about the acquisition happen around the this time.<ref name="Google DeepMind"/>
|-
| 2013 || December || {{w|AI}} development || DeepMind reveals having developed an AI algorithm able to learn how to play iconic early video games like [[w:Breakout (video game)|Breakout]] and {{w|Pong}} simply by watching them being played on a vintage 1977 Atari 2600 games console. Having surmised The algorithm deduces the rules and rewards from the way the pixels were are batted about the screen, the algorithm then it is then able to beat human opponents at playing the games.<ref name="Google buys AI firm DeepMind to boost image search">{{cite web |title=Google buys AI firm DeepMind to boost image search |url=https://www.newscientist.com/article/dn24946-google-buys-ai-firm-deepmind-to-boost-image-search/ |website=newscientist.com |accessdate=28 May 2019}}</ref>
|-
| 2013 || December || Team || DeepMind reportedly has around 75 employees.<ref name="Google DeepMind">{{cite web |title=Google To Acquire Artificial Intelligence Company DeepMind |url=https://www.forbes.com/sites/amitchowdhry/2014/01/27/google-to-acquire-artificial-intelligence-company-deepmind/#2d9358fa15b5 |website=forbes.com |accessdate=29 May 2019}}</ref>
|-
| 2013 || || Team || [[w:David Silver (programmer)|David Silver]] joins DeepMind as a full-time research scientist.<ref>{{cite web |title=Computer Science News |url=http://www.cs.ucl.ac.uk/news/article/david_silver_of_deepmind_delivers_inaugural_lecture_at_ucl/ |website=cs.ucl.ac.uk |accessdate=5 July 2019}}</ref>
|-
| 2014 || January 27 || Acquisition || {{w|Google}} engages in its largest European acquisition to date with a deal to buy DeepMind for £400 million (US$650 million). From then on, DeepMind starts becoming known worldwide.<ref name="Google's $500+ million purchase of DeepMind just got very interesting">{{cite web |last1=Shead |first1=Sam |title=Google's $500+ million purchase of DeepMind just got very interesting |url=https://www.businessinsider.com/googles-400-million-acquisition-of-deepmind-is-looking-good-2016-7 |website=businessinsider.com |accessdate=5 June 2019}}</ref><ref>{{cite web |title=Google buys UK artificial intelligence startup Deepmind for £400m |url=https://www.theguardian.com/technology/2014/jan/27/google-acquires-uk-artificial-intelligence-startup-deepmind |website=theguardian.com |accessdate=5 June 2019}}</ref><ref name="Google DeepMind: the story behind the world's leading AI startup">{{cite web |title=Google DeepMind: the story behind the world's leading AI startup |url=https://www.techworld.com/startups/google-deepmind-what-is-it-how-it-works-should-you-be-scared-3615354/ |website=techworld.com |accessdate=28 May 2019}}</ref><ref name="Google buys AI firm DeepMind to boost image search"/><ref>{{cite web |title=Google acquires artificial intelligence company DeepMind |url=https://www.computerworld.com/article/2486983/google-acquires-artificial-intelligence-company-deepmind.html |website=computerworld.com |accessdate=29 May 2019}}</ref>
|-
| 2014 || October 29 || {{w|AI}} development || DeepMind unveils a neural network that can access an external memory like a conventional {{w|Turing machine}}. The project mimics properties of the human brain's short-term working memory. The result is a computer able to mimic some of the brain’s memory skills and even program like a human.<ref>{{cite web |title=Google's Secretive DeepMind Startup Unveils a "Neural Turing Machine" |url=https://www.technologyreview.com/s/532156/googles-secretive-deepmind-startup-unveils-a-neural-turing-machine/ |website=technologyreview.com |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=Hornyak |first1=Tim |title=Google's DeepMind AI project apes human memory and programming skills |url=https://www.pcworld.com/article/2841232/google-ai-project-apes-memory-programs-sort-of-like-a-human.html |website=pcworld.com |accessdate=29 May 2019}}</ref><ref>{{cite web |title=Computer with human-like learning will program itself |url=https://www.newscientist.com/article/mg22429932-200-computer-with-human-like-learning-will-program-itself/ |website=newscientist.com |accessdate=29 May 2019}}</ref><ref>{{cite web |title=Google reveals it is developing a computer so smart it can program ITSELF |url=https://www.dailymail.co.uk/sciencetech/article-2813303/Google-reveals-developing-computer-smart-program-ITSELF.html |website=dailymail.co.uk |accessdate=29 May 2019}}</ref>|-| 2014 || November || Notable comment || {{w|Elon Musk}} submits a comment to <code>edge.com</code> about the threat of AI: {{Quote|The pace of progress in artificial intelligence (I'm not referring to narrow AI) is incredibly fast. Unless you have direct exposure to groups like Deepmind, you have no idea how fast-it is growing at a pace close to exponential. The risk of something seriously dangerous happening is in the five year timeframe. 10 years at most. This is not a case of crying wolf about something I don't understand. I am not alone in thinking we should be worried. The leading AI companies have taken great steps to ensure safety. The recognize the danger, but believe that they can shape and control the digital superintelligences and prevent bad ones from escaping into the Internet. That remains to be seen...}}<ref>{{cite web |title=28 Best Quotes About Artificial Intelligence |url=https://www.bernardmarr.com/default.asp?contentID=1158 |website=bernardmarr.com |accessdate=29 June 2019}}</ref>
|-
| 2014 || || Recognition || DeepMind receives the "Company of the Year" award from {{w|Cambridge Computer Laboratory}}.<ref>{{cite web|title=Hall of Fame Awards: To celebrate the success of companies founded by Computer Laboratory graduates.|url=https://www.cl.cam.ac.uk/ring/awards.html|publisher=University of Cambridge|accessdate=28 May 2019}}</ref>
|-
| 2015 || June || Notable quote comment || {{w|Mustafa Suleyman}} describes DeepMind's work during a {{w|machine learning}} conference in {{w|London}}: {{Quote|"Our deep learning tool has now been deployed in many environments, particularly across Google in many of our production systems."}}<ref name="Google DeepMind: the story behind the world's leading AI startup"/>
|-
| 2015 || June || Team || [[w:Alex Graves (computer scientist)|Alex Graves]] joins DeepMind as a research scientist.<ref name="The 21 smartest AI scientists working at Google DeepMind">{{cite web |title=The 21 smartest AI scientists working at Google DeepMind |url=https://www.businessinsider.com/the-smartest-ai-scientists-working-at-google-deepmind-2015-11 |website=businessinsider.com |accessdate=5 July 2019}}</ref>|-| 2015 || September || Partnership || DeepMind partners with the Royal Free NHS Trust to develop a patient safety app called Streams, application aimed at reviewing test results for signs of sickness and sending staff instant alerts if an urgent assessment is required. The app would also help clinicians to quickly check for other serious conditions such as acute kidney injury and display results of blood tests, scans, and x-rays at the touch of a button.<ref name="Google DeepMind: the story behind the world's leading AI startup"/><ref>{{Cite news|url=https://techcrunch.com/2017/08/31/documents-detail-deepminds-plan-to-apply-ai-to-nhs-data-in-2015/|title=Documents detail DeepMind’s plan to apply AI to NHS data in 2015|last=Lomas|first=Natasha|work=TechCrunch|access-date=28 May 2019|language=en}}</ref>
|-
| 2015 || October || Achievement || DeepMind's {{w|AlphaGo}} beats the European [[w:Go (game)|Go]] champion {{w|Fan Hui}}, a [[w:Go ranks and ratings|2 dan]] (out of 9 dan possible) professional, five to zero.<ref name="bbcgo">{{cite news|url=https://www.bbc.com/news/technology-35420579|title=Google achieves AI 'breakthrough' by beating Go champion|date=27 January 2016|author=|newspaper=BBC News}}</ref> This is the first time an {{w|artificial intelligence}} defeats a professional Go player.<ref name="lemondego">{{cite news|url=http://www.lemonde.fr/pixels/article/2016/01/27/premiere-defaite-d-un-professionnel-du-go-contre-une-intelligence-artificielle_4854886_4408996.html|title=Première défaite d'un professionnel du go contre une intelligence artificielle|language=French|date=27 January 2016|work=Le Monde}}</ref>
|-
| 2015 || February 25 || {{w|AI}} development || DeepMind builds develops an {{w|artificial intelligence agent that can learn }} capable of learning how to successfully play 49 classic {{w|Atari games}} by itself, with minimal input. The researchers claim software that learns to play video games could graduate to the real world before long.<ref>{{cite web |last1=Twilley |first1=Nicola |title=Artificial Intelligence Goes to the Arcade |url=https://www.newyorker.com/tech/annals-of-technology/deepmind-artificial-intelligence-video-games |website=newyorker.com |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=CLARK Clark |first1=LIAT Liat |title=DeepMind's AI is an Atari gaming pro now |url=https://www.wired.co.uk/article/google-deepmind-atari |website=wired.co.uk |accessdate=29 May 2019}}</ref><ref>{{cite web |title=Google's AI Masters Space Invaders (But It Still Stinks at Pac-Man) |url=https://www.technologyreview.com/s/535446/googles-ai-masters-space-invaders-but-it-still-stinks-at-pac-man/ |website=technologyreview.com |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=Devlin |first1=Hannah |title=Google develops computer program capable of learning tasks independently |url=https://www.theguardian.com/technology/2015/feb/25/google-develops-computer-program-capable-of-learning-tasks-independently |website=theguardian.com |accessdate=29 May 2019}}</ref>
|-
| 2016 || February || Partnership || DeepMind announces that it is teaming with the {{w|National Health Service}} to build an app called Streams to help hospital staff monitor patients with kidney disease.<ref name="newscientist.com">{{cite web |title=Revealed: Google AI has access to huge haul of NHS patient data |url=https://www.newscientist.com/article/2086454-revealed-google-ai-has-access-to-huge-haul-of-nhs-patient-data/ |website=newscientist.com |accessdate=28 May 2019}}</ref>
| 2016 || April || Controversy || ''{{w|New Scientist}}'' obtains a copy of a data-sharing agreement between DeepMind and the {{w|Royal Free London NHS Foundation Trust}}. 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, including personal details such as whether patients have been diagnosed with [[w:HIV/AIDS|HIV]], suffered from [[w:major depressive disorder|depression]] or have ever undergone an {{w|abortion}} in order to conduct research to seek better outcomes in various health conditions.<ref>{{cite news |url=https://www.newscientist.com/article/2086454-revealed-google-ai-has-access-to-huge-haul-of-nhs-patient-data |title=Revealed: Google AI has access to huge haul of NHS patient data |first=Hal |last=Hodson |work={{w|New Scientist}} |date=29 April 2016 |accessdate= 28 May 2019}}</ref><ref>{{cite news |url=https://www.newscientist.com/article/mg23030722-900-big-data-if-theres-nothing-to-hide-why-be-secretive/ |title=Leader: If Google has nothing to hide about NHS data, why so secretive? |work={{w|New Scientist}} |date=4 May 2016 |accessdate= 28 May 2019}}</ref>
|-
| 2016 || June 3 || {{w|AI}} development || DeepMind develops a ‘big red button’ to stop AIs from causing harm, using a framework in the form of "safely interruptible" artificial intelligence. The system It guarantees that a machine will not learn to resist attempts by humans to intervene in its learning processes.<ref>{{cite web |last1=Byrne |first1=Michael |title=Google DeepMind Researchers Develop AI Kill Switch |url=https://www.vice.com/en_us/article/bmv7x5/google-researchers-have-come-up-with-an-ai-kill-switch |website=vice.com |accessdate=30 May 2019}}</ref><ref>{{cite web |last1=Li |first1=Abner |title=Google DeepMind has developed a ‘big red button’ to stop AIs from causing harm |url=https://9to5google.com/2016/06/03/google-deepmind-big-red-button-ai/ |website=9to5google.com |accessdate=30 May 2019}}</ref><ref>{{cite web |last1=Shead |first1=Sam |title=Google has developed a 'big red button' that can be used to interrupt artificial intelligence and stop it from causing harm |url=https://www.businessinsider.com/google-deepmind-develops-a-big-red-button-to-stop-dangerous-ais-causing-harm-2016-6 |website=businessinsider.com |accessdate=30 May 2019}}</ref>. The system is described in a paper by Laurent Orseau from DeepMind and Stuart Armstrong from the {{w|Future of Humanity Institute}}.<ref>{{cite web |title=Safely Interruptible Agents |url=https://intelligence.org/files/Interruptibility.pdf |website=intelligence.org |accessdate=11 June 2019}}</ref>
|-
| 2016 || July || {{w|AI}} development || DeepMind announces the ability to cut Google's data centers' energy consumption by 15%, using a {{w|machine learning}} algorithm.<ref>{{cite web |last1=BURGESS Burgess |first1=MATT Matt |title=Google's DeepMind trains AI to cut its energy bills by 40% |url=https://www.wired.co.uk/article/google-deepmind-data-centres-efficiency |website=wired.co.uk |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=Wakefield |first1=Jane |title=Google uses AI to save on electricity from data centres |url=https://www.bbc.com/news/technology-36845978 |website=bbc.com |accessdate=29 May 2019}}</ref>
|-
| 2016 || August 30 || Partnership || DeepMind announces a partnership with {{w|University College London Hospital}} to explore using artificial intelligence to treat patients with head and neck cancers. The goal is to develop tools to automatically identify cancerous cells for {{w|radiology}} machines.<ref>{{cite web |title=Google is teaming up with a London hospital to inject AI into cancer treatment |url=https://qz.com/769974/google-deepmind-cancer-artificial-intelligence-deep-learning-university-college-london-hospital/ |website=qz.com |accessdate=30 May 2019}}</ref><ref>{{cite web |title=Google DeepMind targets NHS head and neck cancer treatment |url=https://www.bbc.com/news/technology-37230806 |website=bbc.com |accessdate=30 May 2019}}</ref><ref>{{cite web |title=Google DeepMind and UCLH collaborate on AI-based radiotherapy treatment |url=https://www.theguardian.com/technology/2016/aug/30/google-deepmind-ucl-ai-radiotherapy-treatment- |website=theguardian.com |accessdate=30 May 2019}}</ref><ref>{{cite web |title=Google DeepMind wants to use machine learning to help treat certain cancers |url=https://www.theverge.com/2016/8/30/12714428/google-deepmind-cancer-treatment-plans-uk-health |website=theverge.com |accessdate=30 May 2019}}</ref>
| 2016 || September 9 || {{w|AI}} development || DeepMind claims having significantly improved computer-generated speech with its new system called WaveNet, an AI technology making machines sound more like humans. The system generates voices by sampling real human speech and directly modeling audio waveforms based on it, as well as its previously generated audio.<ref>{{cite web |title=Google's DeepMind artificial intelligence has figured out how to talk |url=https://www.businessinsider.com/google-deepmind-wavenet-speech-2016-9 |website=businessinsider.com |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=Gallego |first1=Jelor |title=At Last, Google’s DeepMind AI Can Make Machines Sound Like Humans |url=https://futurism.com/at-last-googles-deepmind-ai-can-make-machines-sound-like-humans |website=futurism.com |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=Robertson |first1=Adi |title=Google’s DeepMind AI fakes some of the most realistic human voices yet |url=https://www.theverge.com/2016/9/9/12860866/google-deepmind-wavenet-ai-text-to-speech-synthesis |website=theverge.com |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=Krumins |first1=Aaron |title=Robots receive a scary-accurate new voice, courtesy of Google’s DeepMind |url=https://www.extremetech.com/extreme/235428-robots-receive-a-scary-new-voice-courtesy-of-googles-deepmind |website=extremetech.com |accessdate=29 May 2019}}</ref>
|-
| 2016 || October 12 || {{w|AI}} development || DeepMind unveils an {{w|AI}} “working memory” able to learn how to solve tasks for itself, such as how best to get from A to B on the London tube network. The AI combines both data processing with self-learning code. The new algorithm is able to retain information in its memory and use its learnings to solve problems in some areas.<ref>{{cite web |title=DeepMind's AI has learned to navigate the Tube using memory |url=https://www.newscientist.com/article/2108934-deepminds-ai-has-learned-to-navigate-the-tube-using-memory/ |website=newscientist.com |accessdate=30 May 2019}}</ref><ref>{{cite web |last1=BURGESS Burgess |first1=MATT Matt |title=DeepMind's AI learned to ride the London Underground using human-like reason and memory |url=https://www.wired.co.uk/article/deepmind-ai-tube-london-underground |website=wired.co.uk |accessdate=30 May 2019}}</ref><ref>{{cite web |last1=Hsu |first1=Jeremy |title=Google's Deep Mind Gives AI a Memory Boost That Lets It Navigate London's Underground |url=https://spectrum.ieee.org/tech-talk/computing/software/googles-deep-mind-boosts-memory-to-navigate-london-underground |website=spectrum.ieee.org |accessdate=30 May 2019}}</ref>
|-
| 2016 || November 4 || Partnership || DeepMind teams with {{w|Blizzard Entertainment}} to release an open test environment within the {{w|StarCraft II}} game for artificial intelligence researchers to use worldwide. DeepMind would use deep reinforcement learning to develop an AI agent that can play StarCraft II effectively.<ref>{{cite web |last1=Byford |first1=Sam |title=Google DeepMind's next gaming challenge: can AI beat StarCraft II? |url=https://www.theverge.com/2016/11/4/13518210/deepmind-starcraft-ai-google-blizzard |website=theverge.com |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=Reichert |first1=Corinne |title=Google's DeepMind turns to StarCraft II after conquering Go |url=https://www.zdnet.com/article/googles-deepmind-turns-to-starcraft-ii-after-conquering-go/ |website=zdnet.com |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=Galeon |first1=Dom |title=DeepMind: AI is Heading to StarCraft |url=https://futurism.com/deepmind-ai-is-heading-to-starcraft |website=futurism.com |accessdate=29 May 2019}}</ref>
|-
| 2016 || November 22 || Partnership || DeepMind announces a five-year agreement with a UK {{w|National Health Service}} trust that would give it access to patient data to develop and deploy its healthcare app, Streams. The agreement lasts until at least 2021.<ref>{{cite web |last1=Pelaez |first1=Jose Luis |title=Google’s DeepMind agrees new deal to share NHS patient data |url=https://www.newscientist.com/article/2113701-googles-deepmind-agrees-new-deal-to-share-nhs-patient-data/ |website=newscientist.com |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=COLLINS Collins |first1=KATIE Katie |title=Google DeepMind knows you well enough to save your life |url=https://www.cnet.com/news/googles-deepmind-nhs-streams-artificial-intelligence/ |website=cnet.com |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=Lomas |first1=Natasha |title=Patient data API pivotal to DeepMind’s push into UK’s NHS |url=https://techcrunch.com/2016/11/22/patient-data-api-pivotal-to-deepminds-push-into-uks-nhs/ |website=techcrunch.com |accessdate=29 May 2019}}</ref>
|-
| 2016 || December 5 || Userbase || DeepMind announces open-sourcing DeepMind Lab, its 3D game-like platform for agent-based AI research, so that others can try and make advances in the field of AI. The DeepMind Lab project was used to create enviroments capable of testing AI systems’ ability to achieve goals in a wide range of environments. Tasks such as navigation in mazes, collecting fruit, traversing dangerous passages, laser tag and interaction with bots have been developed to refine the programs. The development of mazes and challenges were designed using video game {{w|Quake III Arena}}’s 17-year-old software, to teach its artificial intelligence programs how to operate in 3D spaces.<ref>{{cite web |last1=McCarthy |first1=John |title=Google DeepMind releases source code to the Quake III levels its using to train AIs |url=https://www.thedrum.com/news/2016/12/05/google-deepmind-releases-source-code-the-quake-iii-levels-its-using-train-ais |website=thedrum.com |accessdate=30 May 2019}}</ref><ref>{{cite web |last1=Condon |first1=Stephanie |title=OpenAI, DeepMind open source AI training platforms |url=https://www.zdnet.com/article/openai-deepmind-open-source-ai-training-platforms/ |website=zdnet.com |accessdate=30 May 2019}}</ref><ref>{{cite web |last1=Shead |first1=Sam |title=DeepMind is opening up its 'flagship' platform to AI researchers outside the company |url=https://www.businessinsider.com/deepmind-opens-up-lab-to-ai-researchers-2016-12 |website=businessinsider.com |accessdate=30 May 2019}}</ref><ref>{{cite web |last1=Kahn |first1=Jeremy |title=Google DeepMind Makes AI Training Platform Publicly Available |url=https://www.bloomberg.com/news/articles/2016-12-05/google-deepmind-makes-ai-training-platform-publicly-available |website=bloomberg.com |accessdate=30 May 2019}}</ref>
|-
| 2017 2016 || January December || Collaboration International expansion || DeepMind's experts pledge Applied is anounced as a sub-team to pass on their knowledge be forming in {{w|Mountain View}}, {{w|California}}. This team is expected to students enrolled on machine learning master's programs at be more closely involved with {{w|University College LondonGoogle}}, working with the various product teams to help implement AI-based solutions.<ref>{{cite web |last1=Shead |first1=Sam |title=New DeepMind's AI experts have pledged to pass on their knowledge to students at UCL Applied Team Being Formed In Mountain View |url=https://www.businessinsiderandroidheadlines.com/2016/12/new-deepmind-ai-expertsapplied-areteam-goingbeing-toformed-teachin-atmountain-ucl-2017-1 view.html |website=businessinsiderandroidheadlines.com |accessdate=1 June 5 July 2019}}</ref>
|-
| 2016 || || Financial || DeepMind records £40.3 million (US$ 52 million) in revenue in the year.<ref name="DeepMind Losses Grew To $368 Million In 2017"/>|-| 2017 || January || Collaboration || DeepMind's experts pledge to pass on their knowledge to students enrolled on machine learning master's programs at {{w|University College London}}.<ref>{{cite web |last1=Shead |first1=Sam |title=DeepMind's AI experts have pledged to pass on their knowledge to students at UCL |url=https://www.businessinsider.com/deepmind-ai-experts-are-going-to-teach-at-ucl-2017-1 |website=businessinsider.com |accessdate=1 June 2019}}</ref>|-| 2017 || March || {{w|AI}} development || DeepMind announces development of a new way to protect confidential health data from itself, in an attempt to assure hospitals, and the public at large, that patient confidentiality isn’t compromised as DeepMind processes the sensitive medical health records entrusted to it.<ref>{{cite web |last1=Wong |first1=Joon Ian |title=Google’s DeepMind has a plan for protecting private health data—from itself |url=https://qz.com/929833/googles-goog-deepmind-is-using-blockchain-technology-to-handle-nhs-medical-data/ |website=qz.com |accessdate=31 May 2019}}</ref><ref>{{cite web |title=Trust, confidence and Verifiable Data Audit |url=https://deepmind.com/blog/trust-confidence-verifiable-data-audit/ |website=deepmind.com |accessdate=31 May 2019}}</ref>
|-
| 2017 || March || {{w|AI}} development || DeepMind develops algorithms that can anticipate energy demand and supply, with the potential to cut the {{w|United Kingdom}} energy consumption by up to 10%.<ref>{{cite web |last1=Shead |first1=Sam |title=Google's Deepmind wants to cut 10% off the entire UK's energy bill |url=https://www.businessinsider.com/google-deepmind-wants-to-cut-ten-percent-off-entire-uk-energy-bill-using-artificial-intelligence-2017-3 |website=businessinsider.com |accessdate=31 May 2019}}</ref><ref>{{cite web |last1=Thompson |first1=Avery |title=Google Wants to Use AI to Cut the UK's Electric Bill by 10 Percent |url=https://www.popularmechanics.com/science/energy/a25648/google-save-uk-10-percent-electric-bill/ |website=popularmechanics.com |accessdate=31 May 2019}}</ref><ref>{{cite web |title=Google Wants To Use AI To Cut the UK's Electric Bill By 10 Percent |url=https://hardware.slashdot.org/story/17/03/13/1937221/google-wants-to-use-ai-to-cut-the-uks-electric-bill-by-10-percent |website=hardware.slashdot.org |accessdate=31 May 2019}}</ref><ref>{{cite web |title=Google’s Deepmind wants to cut 10% off the entire UK’s energy bill |url=https://www.businessinsider.nl/google-deepmind-wants-to-cut-ten-percent-off-entire-uk-energy-bill-using-artificial-intelligence-2017-3/?international=true&r=UK |website=businessinsider.nl |accessdate=31 May 2019}}</ref>
| 2017 || May || Controversy || ''Sky News'' publishes a leaked letter from the National Data Guardian, [[wikipedia:Fiona Caldicott|Dame Fiona Caldicott]], revealing that in her "considered opinion" the data-sharing agreement between DeepMind and the Royal Free took place on an "inappropriate legal basis".<ref>{{cite news |url=http://news.sky.com/story/google-received-16-million-nhs-patients-data-on-an-inappropriate-legal-basis-10879142/ |title=Google received 1.6 million NHS patients' data on an 'inappropriate legal basis' |first=Alexander J |last=Martin |work={{w|Sky News}} |date=15 May 2017 |accessdate=28 May 2019}}</ref>
|-
| 2017 || June || Partnership || DeepMind’s safety team partners with {{w|OpenAI}} in the development of an algorithm which can infer what humans want by being told which of two proposed behaviors is better. The learning algorithm uses small amounts of human feedback to solve modern {{w|reinforcement learning}} environments.<ref>{{cite web |title=Learning from Human Preferences |url=https://openai.com/blog/deep-reinforcement-learning-from-human-preferences/ |website=openai.com |accessdate=29 June 2019}}</ref> |-| 2017 || July || International expansion || DeepMind announces its first international research lab in {{w|Edmonton}}, Canada.<ref>{{cite web |last1=Vincent |first1=James |title=Google’s AI powerhouse DeepMind is opening its first international lab in Canada |url=https://www.theverge.com/2017/7/5/15922574/deepmind-alberta-canda-research-lab |website=theverge.com |accessdate=31 May 2019}}</ref><ref>{{cite web |last1=Fingas |first1=Jon |title=Google's next DeepMind AI research lab opens in Canada |url=https://www.engadget.com/2017/07/05/google-opens-deepmind-lab-in-canada/ |website=engadget.com |accessdate=31 May 2019}}</ref><ref>{{cite web |last1=Kahn |first1=Jeremy |title=DeepMind Goes to Alberta For First International Lab |url=https://www.bloomberg.com/news/articles/2017-07-05/deepmind-goes-to-alberta-for-first-international-lab |website=bloomberg.com |accessdate=31 May 2019}}</ref><ref>{{cite web |last1=SEMENIUK Semeniuk |first1=IVAN Ivan |title=AI company that conquered Go game opens office in Edmonton |url=https://www.theglobeandmail.com/news/national/ai-company-that-conquered-go-game-opens-office-in-edmonton/article35551899/ |website=theglobeandmail.com |accessdate=31 May 2019}}</ref>
|-
| 2017 || July || Controversy || The UK {{w|Information Commissioner's Office}} rules that the Royal Free has breached the Data Protection Act by providing DeepMind with the personal data of around 1.6 million patients.<ref name="Google DeepMind: the story behind the world's leading AI startup"/>
| 2017 || Kuly 10 || {{w|AI}} development || DeepMind uses {{w|reinforcement learning}} to master {{w|parkour}}, using a virtual course designed by the researchers which features drops, hurdles, and ledges. All of the navigation is self-taught by the AI using a trial-and-error approach to working out how to move forward and progress across the course as fast as possible.<ref>{{cite web |last1=Vincent |first1=James |title=DeepMind’s AI is teaching itself parkour, and the results are adorable |url=https://www.theverge.com/tldr/2017/7/10/15946542/deepmind-parkour-agent-reinforcement-learning |website=theverge.com |accessdate=31 May 2019}}</ref><ref>{{cite web |last1=Daws |first1=Ryan |title=Google’s DeepMind uses reinforcement learning to master parkour |url=https://www.developer-tech.com/news/2017/jul/10/googles-deepmind-uses-reinforcement-learning-master-parkour/ |website=developer-tech.com |accessdate=31 May 2019}}</ref>
|-
| 2017 || July 19 || {{w|AI}} development || DeepMind releases a paper describing new developments for "imagination-based planning" to {{w|AI}} and algorithms that simulate the human ability to construct plans. The AI can reason through decisions and make plans for the future, without being bound by human instructions.<ref>{{cite web |last1=PLUMMER Plummer |first1=LIBBY Libby |title=Google's DeepMind creates an AI with 'imagination' |url=https://www.wired.co.uk/article/googles-deepmind-creates-an-ai-with-imagination |website=wired.co.uk |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=Locklear |first1=Mallory |title=DeepMind researchers create AI with an ‘imagination’ |url=https://www.engadget.com/2017/07/25/deepmind-create-ai-imagination/ |website=engadget.com |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=NIELD Nield |first1=DAVID David |title=Google Has Started Adding Imagination to Its DeepMind AI |url=https://www.sciencealert.com/google-has-started-adding-imagination-to-its-deepmind-ai |website=sciencealert.com |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=PRIGG Prigg |first1=MARK Mark |title=Google's DeepMind researchers create AI with an ‘imagination’ |url=https://www.dailymail.co.uk/sciencetech/article-4730392/Google-s-DeepMind-create-AI-imagination.html |website=dailymail.co.uk |accessdate=29 May 2019}}</ref>
|-
| 2017 || October 4 || Team || DeepMind launches DeepMind Ethics & Society (DMES), a new research group recruiting advisers from academia and charity sector with the purpose to ‘help technologists put ethics into practice’ and help coping with artificial intelligence to consider the “real-world impacts” of replicating human intelligence. The group consists of six independent research fellows, eight full-time researchers, and nine partnerships with other research institutions. It would explore topics such as algorithmic bias, accountability, and autonomous killing machines.<ref>{{cite web |last1=Gershgorn |first1=Dave |title=DeepMind now has two ethics groups, but one of them is still secret |url=https://qz.com/1094283/alphabets-goog-deepmind-now-has-two-ethics-groups-but-one-of-them-is-still-secret/ |website=qz.com |accessdate=31 May 2019}}</ref><ref>{{cite web |last1=Hern |first1=Alex |title=DeepMind announces ethics group to focus on problems of AI |url=https://www.theguardian.com/technology/2017/oct/04/google-deepmind-ai-artificial-intelligence-ethics-group-problems |website=theguardian.com |accessdate=31 May 2019}}</ref><ref>{{cite web |last1=SAWERS Sawers |first1=PAUL Paul |title=Alphabet’s DeepMind sets up ‘ethics and society’ unit to research real-world impact of AI |url=https://venturebeat.com/2017/10/04/alphabets-deepmind-sets-up-ethics-and-society-unit-to-research-real-world-impact-of-ai/ |website=venturebeat.com |accessdate=31 May 2019}}</ref>
|-
| 2017 || October 18 || {{w|AI}} development || DeepMind announces AlphaGo Zero, a software capable of mastering the Chinese game of {{w|Go}} without help from human players. The new version is an improvement on the original AlphaGo, which had to be trained over time using large quantities of human knowledge and supervision.<ref>{{cite web |title=AI versus AI: Self-Taught AlphaGo Zero Vanquishes Its Predecessor |url=https://www.scientificamerican.com/article/ai-versus-ai-self-taught-alphago-zero-vanquishes-its-predecessor/?redirect=1 |website=scientificamerican.com |accessdate=11 June 2019}}</ref><ref name="Google DeepMind: AI becomes more alien">{{cite web |last1=Cellan-Jones |first1=Rory |title=Google DeepMind: AI becomes more alien |url=https://www.bbc.com/news/technology-41668701 |website=bbc.com |accessdate=30 May 2019}}</ref><ref>{{cite web |last1=BURGESS Burgess |first1=MATT Matt |title=DeepMind's latest AI breakthrough is its most significant yet |url=https://www.wired.co.uk/article/deepmind-alphago-zero-nature-reinforcement-learning |website=wired.co.uk |accessdate=30 May 2019}}</ref><ref>{{cite web |last1=CUTHBERTSON Cuthbertson |first1=ANTHONY Anthony |title=DEEPMIND ALPHAGODeepmind AlphaGo: AI TEACHES ITSELF Teaches Itself 'THOUSANDS OF YEARS OF HUMAN KNOWLEDGEThousands of Years of Human Knowledge' WITHOUT HELP Without Help |url=https://www.newsweek.com/deepmind-alphago-ai-teaches-human-help-687620 |website=newsweek.com |accessdate=30 May 2019}}</ref><ref>{{cite web |last1=Shead |first1=Sam |title=DeepMind's human-bashing AlphaGo AI is now even stronger |url=https://www.businessinsider.com/deepminds-alphago-ai-gets-alphago-zero-upgrade-2017-10 |website=businessinsider.com |accessdate=30 May 2019}}</ref>
|-
| 2017 || October 20 || Recognition || The DeepMind team behind AlphaGo is awarded the inaugural {{w|Marvin Minsky Medal}} by the {{w|International Joint Conference On Artificial Intelligence}} (IJCAI) in {{w|Stockholm}}, for outstanding achievements in the field of AI.<ref>{{cite web |last1=Gorey |first1=Colm |title=DeepMind team behind AlphaGo wins inaugural ‘Nobel Prize for AI’ |url=https://www.siliconrepublic.com/machines/deepmind-alphago-marvin-minsky-award |website=siliconrepublic.com |accessdate=1 June 2019}}</ref><ref>{{cite web |title=DeepMind team behind AlphaGo wins inaugural ‘Nobel Prize for AI’ |url=http://www.lionra.ie/feed-items/deepmind-team-behind-alphago-wins-inaugural-nobel-prize-for-ai/ |website=lionra.ie |accessdate=1 June 2019}}</ref><ref>{{cite web |title=IJCAI 2018 Kicks Off; DeepMind AlphaGo Wins Marvin Minsky Medal |url=https://medium.com/syncedreview/ijcai-2018-kicks-off-deepmind-alphago-wins-marvin-minsky-medal-56ff073f2c38 |website=medium.com |accessdate=1 June 2019}}</ref><ref>{{cite web |title=DeepMind wins the Minsky medal for AlphaGo |url=https://www.celi.it/en/blog/2017/10/deepmind-alphago-team-receive-inaugural-ijcai-marvin-minsky-medal/ |website=celi.it |accessdate=1 June 2019}}</ref>
|-
| 2017 || October || International expansion || DeepMind opens new research office in {{w|Montreal}}, led by {{w|McGill University}} professor {{w|Doina Precup}}.<ref>{{cite web |title=DeepMind opens new AI research office in Montreal |url=https://www.linkedin.com/pulse/deepmind-opens-new-research-office-montreal-andres-restrepo/ |website=linkedin.com |accessdate=5 July 2019}}</ref> |-| 2017 || November || Partnership || DeepMind announces a research partnership with the {{w|Cancer Research UK}} Center at {{w|Imperial College London}} with the goal of improving {{w|breast cancer}} detection by applying {{w|machine learning}} to {{w|mammography}}.<ref>{{cite web|url=https://siliconangle.com/blog/2017/11/24/google-deepmind-announces-new-research-partnership-fight-breast-cancer-ai/|title=Google DeepMind announces new research partnership to fight breast cancer with AI|date=24 November 2017|website=Silicon Angle}}</ref>|-| 2017 || December 5 || {{w|AI}} development || DeepMind team introduces AlphaZero, a program using generalized AlphaGo Zero's approach, which achieved within 24 hours a superhuman level of play in {{w|chess}}, {{w|shogi}}, and [[w:Go (game)|Go]], defeating world-champion programs, [[w:Stockfish (chess)|Stockfish]], [[w:Elmo (shogi engine)|Elmo]], and 3-day version of AlphaGo Zero in each case.<ref>{{Cite web|first1=David|last1= Silver|first2=Thomas|last2= Hubert|first3= Julian|last3=Schrittwieser|first4= Ioannis|last4=Antonoglou |first5= Matthew|last5= Lai|first6= Arthur|last6= Guez|first7= Marc|last7= Lanctot|first8= Laurent|last8= Sifre|first9= Dharshan|last9= Kumaran|first10= Thore|last10= Graepel|first11= Timothy|last11= Lillicrap|first12= Karen|last12= Simonyan|first13=Demis |last13=Hassabis|title=Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm|class=cs.AI|date=5 December 2017|url=https://arxiv.org/abs/1712.01815}}</ref>|-| 2017 || || Financial || DeepMind records £54.4 million (US$ 71 million) in revenue in 2017, up 35% from £40.3 million (US$ 52 million) in 2016.<ref name="DeepMind Losses Grew To $368 Million In 2017">{{cite web |title=DeepMind Losses Grew To $368 Million In 2017 |url=https://www.forbes.com/sites/samshead/2018/10/05/deepmind-losses-grew-to-302-million-in-2017/#7719dff2490e |website=forbes.com |accessdate=29 June 2019}}</ref>
|-
| 2018 || February || Partnership || DeepMind announces that it is teaming with the [[w:United States Department of Veterans Affairs|U.S. Department of Veterans Affairs]] 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.<ref>{{cite web|url=https://venturebeat.com/2018/02/22/googles-deepmind-wants-ai-to-spot-kidney-injuries/|title=Google's DeepMind wants AI to spot kidney injuries|date=22 February 2018|website=Venture Beat}}</ref>
|-
| 2018 || February || {{w|AI}} development || DeepMind develops an artificial intelligence able to pass capable of an important psychological assessment ability that most children only develop the skills to pass at around age 4, which is to infer what someone else is thinking. This new technology is thought to have useful application in the future, from warfare to elderly care.<ref>{{cite web |last1=Revell |first1=Timothy |title=DeepMind AI is learning to understand the ‘thoughts’ of others |url=https://www.newscientist.com/article/mg23731673-400-deepmind-ai-is-learning-to-understand-the-thoughts-of-others/ |website=newscientist.com |accessdate=3 June 2019}}</ref><ref>{{cite web |title=Will A.I. Ever Be Smarter Than a Four-Year-Old? |url=https://www.smithsonianmag.com/innovation/will-ai-ever-be-smarter-than-four-year-old-180971259/ |website=smithsonianmag.com |accessdate=3 June 2019}}</ref><ref>{{cite web |title=‘Deep Mind’ AI As Advanced as a 4yr old! |url=https://www.trebuchet-magazine.com/deep-mind-ai-advanced-4yr-old/ |website=trebuchet-magazine.com |accessdate=11 June 2019}}</ref>|-| 2018 || March || International expansion || DeepMind announces a new research lab in {{w|Paris}}, led by Remi Munos.<ref>{{cite web |title=A return to Paris |url=https://deepmind.com/blog/a-return-to-paris/ |website=deepmind.com |accessdate=5 July 2019}}</ref>|-| 2018 || May 9 || {{w|AI}} development || DeepMind develops a neural network loosely modeled on mammalian brains, that is better at navigating a maze than humans.<ref>{{cite web |title=DeepMind AI developed navigation neurons to solve a maze like us |url=https://www.newscientist.com/article/2168406-deepmind-ai-developed-navigation-neurons-to-solve-a-maze-like-us/ |website=newscientist.com |accessdate=1 June 2019}}</ref><ref>{{cite web |last1=Sample |first1=Ian |title=Google DeepMind's AI program learns human navigation skills |url=https://www.theguardian.com/technology/2018/may/09/googles-ai-program-deepmind-learns-human-navigation-skills |website=theguardian.com |accessdate=1 June 2019}}</ref><ref>{{cite web |last1=Gent |first1=Edd |title=This DeepMind AI Spontaneously Developed Digital Navigation ‘Neurons’ Like Ours |url=https://singularityhub.com/2018/05/14/this-deepmind-ai-spontaneously-developed-navigation-neurons-like-ours/ |website=singularityhub.com |accessdate=1 June 2019}}</ref><ref>{{cite web |last1=Quach |first1=Katyanna |title=DeepMind: Get a load of our rat-like AI. 'Ere, look. It solves mazes and stuff |url=https://www.theregister.co.uk/2018/05/10/deepmind_rat_like_ai_mazes/ |website=theregister.co.uk |accessdate=1 June 2019}}</ref>
|-
| 2018 || May 9 June 14 || {{w|AI}} development || DeepMind develops a neural network loosely modeled that teaches itself to ‘imagine’ a scene from different viewpoints, based on mammalian brainsjust a single image. The new type of computer vision algorithm can generate 3D models of a scene from 2D snapshots, that results to be better at navigating unraveling details from the static images and solving spatial relationships, including the camera’s position. Dubbed a maze than humansGenerative Query Network (GQN), the system gets rid of labels and focuses on what's known as {{w|unsupervised learning}}.<ref>{{cite web |last1=Whyte |first1=Chelsea |title=DeepMind DeepMind’s AI developed navigation neurons to solve can ‘imagine’ a world based on a maze like us single picture |url=https://www.newscientist.com/article/21684062171675-deepminddeepminds-ai-developedcan-navigationimagine-neuronsa-toworld-solvebased-on-a-mazesingle-like-uspicture/ |website=newscientist.com |accessdate=1 June 2019}}</ref><ref>{{cite web |last1=Sample Bogle |first1=Ian Ariel |title=Who needs humans? Google DeepMind's AI program learns human navigation skills DeepMind algorithm can teach itself to see |url=https://www.theguardianabc.comnet.au/news/technologyscience/2018/may/09-06-15/googles-aideepmind-programalgorithm-deepmindcan-learnsteach-humanitself-navigationto-skills see/9861590 |website=theguardianabc.com net |accessdate=1 June 2019}}</ref><ref>{{cite web |last1=Gent Wiggers |first1=Edd Kyle |title=This Google’s DeepMind develops AI Spontaneously Developed Digital Navigation ‘Neurons’ Like Ours that can render 3D objects from 2D pictures |url=https://singularityhubventurebeat.com/2018/0506/14/thisgoogles-deepmind-develops-ai-spontaneouslythat-developedcan-navigationrender-neurons3d-likeobjects-oursfrom-2d-pictures/ |website=singularityhubventurebeat.com |accessdate=1 June 2019}}</ref><ref>{{cite web |last1=Quach |first1=Katyanna |title=DeepMind: Get a load of our rat-like AI. 'Ere, look. It solves mazes Neural scene representation and stuff rendering |url=https://wwwscience.theregistersciencemag.co.uk/2018org/05content/10360/deepmind_rat_like_ai_mazes6394/ 1204 |website=theregisterscience.cosciencemag.uk org |accessdate=1 June 2019}}</ref>
|-
| 2018 || June 14 15 || {{w|AI}} development Controversy || The DeepMind Health Independent Reviewers’ 2018 report warns about the potential for DeepMind develops a neural network that teaches itself Health to be able to ‘imagine’ a scene from different viewpoints, based on just “exert excessive monopoly power” as a single image. The new type result of computer vision algorithm can generate 3D models the data access and streaming infrastructure that’s bundled with provision of a scene from 2D snapshots. It can tease out details from the static images to guess at spatial relationshipsStreams app, including which would position DeepMind as the camera’s position. Dubbed a Generative Query Network (GQN), access-controlling intermediary between the system gets rid of labels structured health data and focuses on what's known as {{w|unsupervised learning}}any other third parties.<ref>{{cite web |last1=Whyte Lomas |first1=Chelsea Natasha |title=DeepMind’s AI can ‘imagine’ a world based on a single picture UK report warns DeepMind Health could gain ‘excessive monopoly power’ |url=https://www.newscientisttechcrunch.com/article2018/2171675-deepminds-ai-can-imagine-a-world-based-on-a-single-picture06/ |website=newscientist.com |accessdate=1 June 2019}}</ref><ref>{{cite web |last1=Bogle |first1=Ariel |title=Who needs humans? Google's DeepMind algorithm can teach itself to see |url=https:15//www.abc.net.au/news/science/2018uk-06report-15/googleswarns-deepmind-algorithmhealth-cancould-teachgain-itselfexcessive-tomonopoly-seepower/9861590 |website=abctechcrunch.net com |accessdate=1 3 June 2019}}</ref><ref>{{cite web |last1=WIGGERS Lomas |first1=KYLE Natasha |title=Google’s DeepMind develops AI that can render 3D objects from 2D pictures Building health AIs should be UK ambition, says strategy review |url=https://venturebeattechcrunch.com/20182017/0608/1431/googlesbuilding-deepmind-develops-aihealth-thatais-canshould-renderbe-3duk-objectsambition-fromsays-2dstrategy-picturesreview/ |website=venturebeattechcrunch.com |accessdate=1 June 2019}}</ref><ref>{{cite web |title=Neural scene representation and rendering |url=https://science.sciencemag.org/content/360/6394/1204 |website=science.sciencemag.org |accessdate=1 3 June 2019}}</ref>
|-
| 2018 || June 15 26 || Controversy || The DeepMind Health Independent Reviewers’ 2018 report warns on {{w|Demis Hassabis}} is enlisted by the potential British government's {{w|Department for DeepMind Health to be able to “exert excessive monopoly power” as a result of the data access Digital, Culture, Media and streaming infrastructure that’s bundled with provision of the Streams appSport}} (DCMS), which would position DeepMind as an adviser to the access-controlling intermediary between the structured health data and any other third partiesGovernment’s new {{w|Office for Artificial Intelligence}}.<ref>{{cite web |last1=Lomas |first1=Natasha |title=UK report warns DeepMind Health could gain ‘excessive monopoly power’ co-founder among experts to advise Government on using AI |url=https://techcrunchwww.comeveningexpress.co.uk/2018news/06/15/ukdeepmind-co-reportfounder-warnsamong-deepmindexperts-healthto-couldadvise-gaingovernment-excessiveon-monopolyusing-powerai/ |website=techcruncheveningexpress.co.com uk |accessdate=3 June 2019}}</ref><ref>{{cite web |last1=Lomas |first1=Natasha |title=Building health AIs should be UK ambition, says strategy review enlists DeepMind's Demis Hassabis to advise its new Government Office for AI |url=https://techcrunchwww.zdnet.com/2017article/08/31/buildinguk-enlists-deepminds-demis-healthhassabis-aisto-shouldadvise-beits-uknew-ambitiongovernment-saysoffice-strategyfor-reviewai/ |website=techcrunchzdnet.com |accessdate=3 June 2019}}</ref>
|-
| 2018 || June 26 November 19 || Partnership || Dr DeepMind partners with {{w|Demis HassabisOpenAI}} is enlisted by the British government's in a new paper that proposes a new method to train {{w|Department for Digitalreinforcement learning}} agents in ways that enables them to surpass human performance. The paper, Culturetitled ''Reward learning from human preferences and demonstrations in Atari'', Media introduces a training model that combines human feedback and Sport}} (DCMS), as an adviser reward optimization to maximize the Government’s new {{w|Office for Artificial Intelligence}}knowledge of RL agents.<ref>{{cite web |titlelast1=DeepMind co-founder among experts to advise Government on using AI Rodriguez |urlfirst1=https://www.eveningexpress.co.uk/news/deepmind-co-founder-among-experts-to-advise-government-on-using-ai/ |website=eveningexpress.co.uk |accessdate=3 June 2019}}</ref><ref>{{cite web Jesus |title=UK enlists What’s New in Deep Learning Research: OpenAI and DeepMind's Demis Hassabis Join Forces to advise its new Government Office for AI Achieve Superhuman Performance in Reinforcement Learning |url=https://www.zdnettowardsdatascience.com/article/ukwhats-new-in-enlistsdeep-deepmindslearning-demisresearch-hassabisopenai-toand-advisedeepmind-itsjoin-newforces-governmentto-officeachieve-forsuperhuman-ai/ 48e7d1accf85 |website=zdnettowardsdatascience.com |accessdate=3 29 June 2019}}</ref>
|-
| 2018 || July || {{w|AI}} development || Researchers from DeepMind train one of its systems to play the famous computer game ''{{w|Quake III Arena}}''.<ref>[https://www.engadget.com/2018/07/03/deepmind-ai-quake-iii-arena-human/ "DeepMind AI’s new trick is playing ‘Quake III Arena’ like a human"]. ''Engadget''. 3 July 2018.</ref>
|-
| 2018 || July 11 || {{w|AI}} development || DeepMind presents a paper titled ''"Measuring abstract reasoning in neural networks''", which etails their details its attempt to measure various {{w|AI}}s’ abstract reasoning capabilities, much like IQ tests for humans.<ref>{{cite web |last1=WIGGERS Wiggers |first1=KYLE Kyle |title=Google’s DeepMind developed an IQ test for AI models |url=https://venturebeat.com/2018/07/11/googles-deepmind-developed-an-iq-test-for-ai-models/ |website=venturebeat.com |accessdate=3 June 2019}}</ref><ref>{{cite web |last1=Houser |first1=Kristin |title=DeepMind created an IQ test for AI, and it didn't do too well |url=https://www.weforum.org/agenda/2018/07/deepmind-created-a-test-to-measure-an-ai-s-ability-to-reason/ |website=weforum.org |accessdate=3 June 2019}}</ref>|-| 2018 || July 18 || Commitment || DeepMind, along with tech leaders, including {{w|Elon Musk}}, sign a pledge promising to not develop “lethal autonomous weapons.” They also call on governments to institute laws against such technology. The pledge is organized by the {{w|Future of Life Institute}}, an outreach group focused on tackling existential risks.<ref>{{cite web |last1=Vincent |first1=James |title=Elon Musk, DeepMind founders, and others sign pledge to not develop lethal AI weapon systems |url=https://www.theverge.com/2018/7/18/17582570/ai-weapons-pledge-elon-musk-deepmind-founders-future-of-life-institute |website=theverge.com |accessdate=1 June 2019}}</ref><ref>{{cite web |last1=Locklear |first1=Mallory |title=DeepMind, Elon Musk and others pledge not to make autonomous AI weapons |url=https://www.engadget.com/2018/07/18/deepmind-elon-musk-pledge-autonomous-ai-weapons/ |website=engadget.com |accessdate=1 June 2019}}</ref><ref>{{cite web |last1=Quach |first1=Katyanna |title=Elon Musk, his arch nemesis DeepMind swear off AI weapons |url=https://www.theregister.co.uk/2018/07/19/keep_ai_nonlethal/ |website=theregister.co.uk |accessdate=1 June 2019}}</ref>|-| 2018 || August 13 || {{w|AI}} development || DeepMind announces an AI capable of detecting over 50 eye diseases and making correct diagnoses 94.5% of the time after trial with {{w|Moorfields Eye Hospital}} in {{w|London}}.<ref>{{cite web |last1=Burgess |first1=Matt |title=Now DeepMind's AI can spot eye disease just as well as your doctor |url=https://www.wired.co.uk/article/deepmind-moorfields-ai-eye-nhs |website=wired.co.uk |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=Major |first1=Mario L. |title=AI System by Google’s DeepMind Can Diagnose Over 50 Common Eye Diseases |url=https://interestingengineering.com/ai-system-by-googles-deepmind-can-diagnose-over-50-common-eye-diseases |website=interestingengineering.com |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=Kelly |first1=Éanna |title=DeepMind’s AI doctor predicted to transform eye disease diagnosis |url=https://sciencebusiness.net/news/deepminds-ai-doctor-predicted-transform-eye-disease-diagnosis |website=sciencebusiness.net |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=Vincent |first1=James |title=DeepMind’s AI can detect over 50 eye diseases as accurately as a doctor |url=https://www.theverge.com/2018/8/13/17670156/deepmind-ai-eye-disease-doctor-moorfields |website=theverge.com |accessdate=29 May 2019}}</ref>|-| 2018 || September 26 || Partnership || DeepMind announces a partnership with {{w|Unity Technologies}} with the purpose to accelerate {{w|machine learning}} and artificial intelligence research. The new collaboration would focus on "virtual environments" that DeepMind can use to test and visualize experimental algorithms.<ref>{{cite web |title=DeepMind and Unity will work together on AI research |url=https://www.engadget.com/2018/09/26/deepmind-unity-ai-machine-learning-environments/ |website=engadget.com |accessdate=1 June 2019}}</ref><ref>{{cite web |title=Google's DeepMind teams with leading 3D game dev platform Unity |url=https://www.zdnet.com/article/googles-deepmind-teams-with-leading-3d-game-dev-platform-unity/ |website=zdnet.com |accessdate=1 June 2019}}</ref><ref>{{cite web |last1=Johnson |first1=Khari |title=Google’s DeepMind and Unity join forces to create simulated environments for AI training |url=https://venturebeat.com/2018/09/26/googles-deepmind-and-unity-join-forces-to-create-simulated-environments-for-ai-training/ |website=venturebeat.com |accessdate=1 June 2019}}</ref><ref>{{cite web |title=How Google’s DeepMind will train its AI inside Unity’s video game worlds |url=https://www.fastcompany.com/90240010/deepminds-ai-will-learn-inside-unitys-video-game-worlds |website=fastcompany.com |accessdate=1 June 2019}}</ref>
|-
| 2018 || July 18 October 4 || Commitment {{w|AI}} development || DeepMindfurthers cancer research and announces having been given access to {{w|mammogram}}s from roughly 30, along with tech leaders, including 000 women that were taken at {{w|Jikei University Hospital}} in {{w|Elon MuskTokyo}}, sign a pledge promising to not develop “lethal autonomous weapons.” They also call on governments to institute laws against such technology. The pledge is organized by the {{w|Future of Life InstituteJapan}}, an outreach geroup focused on tackling existential risksbetween 2007 and 2018. The data would be used to refine DeepMind's AI breast cancer detection algorithms.<ref>{{cite web |last1=Vincent Wiggers |first1=James Kyle |title=Elon Musk, DeepMind founders, and others sign pledge expands AI cancer research program to not develop lethal AI weapon systems Japan |url=https://www.thevergeventurebeat.com/2018/710/1804/17582570/aideepmind-weaponsexpands-pledgeai-eloncancer-muskresearch-deepmindprogram-foundersto-future-of-life-institute japan/ |website=thevergeventurebeat.com |accessdate=1 3 June 2019}}</ref><ref>{{cite web |last1=Locklear Shead |first1=Mallory Sam |title=Google DeepMindGiven Access To Mammograms Of 30, Elon Musk and others pledge not to make autonomous AI weapons 000 Women By Japanese Hospital |url=https://www.engadgetforbes.com/sites/samshead/2018/0710/1804/google-deepmind-elongiven-muskaccess-pledgeto-mammograms-of-30000-women-autonomousby-aijapanese-weaponshospital/ #280652659baa |website=engadgetforbes.com |accessdate=1 June 2019}}</ref><ref>{{cite web |last1=Quach |first1=Katyanna |title=Elon Musk, his arch nemesis DeepMind swear off AI weapons |url=https://www.theregister.co.uk/2018/07/19/keep_ai_nonlethal/ |website=theregister.co.uk |accessdate=1 3 June 2019}}</ref>
|-
| 2018 || August November 13 || {{wTeam |AI}} development || DeepMind Google announces {{w|AI}} capable of detecting over 50 eye diseases DeepMind’s health care unit to be absorbed to the holding company to create an ‘AI assistant for nurses and making correct diagnoses 94.5 per cent of the time after trial with {{w|Moorfields Eye Hospital}} in {{w|London}}doctors’.<ref>{{cite web news |last1last=BURGESS Vincent |first1first=MATT |title=Now DeepMind's AI can spot eye disease just as well as your doctor James |url=https://www.wiredtheverge.co.ukcom/article2018/deepmind-moorfields-ai-eye-nhs |website=wired.co.uk |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=Major |first1=Mario L. |title=AI System by Google’s DeepMind Can Diagnose Over 50 Common Eye Diseases |url=https:11/13/interestingengineering.com18091774/aigoogle-system-bydeepmind-googleshealth-deepmindabsorbing-canstreams-diagnoseteam-overai-50assistant-commonnurse-eye-diseases |website=interestingengineering.com |accessdate=29 May 2019}}</ref><ref>{{cite web |last1=Kelly |first1=Éanna doctor|title=DeepMind’s Google is absorbing DeepMind's health care unit to create an 'AI doctor predicted to transform eye disease diagnosis assistant for nurses and doctors' |urlwork=https://sciencebusiness.net/news/deepminds-ai-doctor-predicted-transform-eye-disease-diagnosis The Verge |websitedate=sciencebusiness.net 13 November 2018 |accessdate=29 28 May 2019}}</ref><ref>{{cite web |last1=Vincent |first1=James |title=DeepMind’s Google Is Absorbing DeepMind's Health Care Unit To Create An 'AI can detect over 50 eye diseases as accurately as a doctor Assistant For Nurses and Doctors' |url=https://wwwscience.thevergeslashdot.comorg/story/201818/811/13/176701562252225/deepmindgoogle-is-absorbing-deepminds-health-care-unit-to-create-an-ai-eyeassistant-for-diseasenurses-doctorand-moorfields doctors |website=thevergescience.slashdot.com org |accessdate=29 May 11 June 2019}}</ref>
|-
| 2018 || September 26 November 19 || Partnership || DeepMind announces partnership with {{w|Unity TechnologiesAI}} with the purpose to accelerate {{wdevelopment ||machine learning}} and artificial intelligence DeepMind safety researchteam publishes a paper on scalable agent alignment via reward modeling. The new collaboration would focus on "virtual environments" that DeepMind can use to test and visualize experimental algorithmspaper gives a summary of a research direction for solving the agent alignment problem.<ref>{{cite web |last1=Leike |first1=Jan |title=DeepMind and Unity will work together on AI research Scalable agent alignment via reward modeling |url=https://www.engadgetmedium.com/2018@deepmindsafetyresearch/09/26/deepmindscalable-agent-unityalignment-aivia-machinereward-learningmodeling-environments/ bf4ab06dfd84 |website=engadgetmedium.com |accessdate=1 11 June 2019}}</ref><ref>{{cite web journal |last1=Leike |titlefirst1=Google's DeepMind teams with leading 3D game dev platform Unity Jan |urllast2=https://www.zdnet.com/article/googles-deepmind-teams-with-leading-3d-game-dev-platform-unity/ Krueger |websitefirst2=zdnet.com David |accessdatelast3=1 June 2019}}</ref><ref>{{cite web Everitt |last1first3=JOHNSON Tom |first1last4=KHARI Martic |titlefirst4=Google’s DeepMind and Unity join forces to create simulated environments for AI training Miljan |urllast5=https://venturebeat.com/2018/09/26/googles-deepmind-and-unity-join-forces-to-create-simulated-environments-for-ai-training/ Maini |websitefirst5=venturebeat.com Vishal |accessdatelast6=1 June 2019}}</ref><ref>{{cite web Legg |titlefirst6=How Google’s DeepMind will train its AI inside Unity’s video game worlds Shane |url=https://wwwarxiv.fastcompany.comorg/90240010abs/deepminds-ai-will-learn-inside-unitys-video-game-worlds |website=fastcompany1811.com |accessdate=1 June 201907871}}</ref>
|-
| 2018 || October 4 December 2 || {{w|AI}} development || DeepMind furthers cancer research and announces having been given access to unveils AlphaFold, an {{w|mammogramalgorithm}}s from roughly 30able to predict the complex,000 women that were taken at three-dimensional shapes into which proteins can be folded. The prediction is based solely on their {{w|Jikei University Hospitalgenetic sequence}} in .<ref>{{wcite web |last1=Lomas |first1=Natasha |title=DeepMind claims early progress in AI-based predictive protein modelling |url=https://techcrunch.com/2018/12/03/deepmind-claims-early-progress-in-ai-based-predictive-protein-modelling/ |website=techcrunch.com |Tokyoaccessdate=1 June 2019}}, </ref><ref>{{wcite web |last1=Wiggers |first1=Kyle |title=Deepmind’s AlphaFold wins CASP13 protein-folding competition |url=https://venturebeat.com/2018/12/03/deepminds-alphafold-wins-casp13-protein-folding-competition/ |website=venturebeat.com |Japanaccessdate=1 June 2019}} between 2007 and 2018. The data would be used to refine DeepMind's AI breast cancer detection algorithms.</ref><ref>{{cite web |last1=WIGGERS Kahn |first1=KYLE Jeremy |title=Alphabet's DeepMind expands AI cancer research program to Japan Algorithm Wins Protein-Folding Contest |url=https://venturebeatwww.bloomberg.com/2018news/10articles/042018-12-03/alphabet-s-deepmind-expands-ai-canceralgorithm-researchwins-programprotein-tofolding-japan/ contest |website=venturebeatbloomberg.com |accessdate=3 1 June 2019}}</ref><ref>{{cite web |last1=Shead Sample |first1=Sam Ian |title=Google 's DeepMind Given Access To Mammograms Of 30,000 Women By Japanese Hospital predicts 3D shapes of proteins |url=https://www.forbestheguardian.com/sites/samsheadscience/2018/10dec/0402/google-deepminddeepminds-givenai-access-toprogram-mammogramsalphafold-ofpredicts-300003d-womenshapes-byof-japanese-hospital/#280652659baa proteins |website=forbestheguardian.com |accessdate=3 1 June 2019}}</ref>
|-
| 2018 || November 13 December || Team Notable comment || As part of a reorganization of its health care efforts, DeepMind announces that its health division and the Streams app would be absorbed into {{w|Google HealthDemis Hassabis}}.<ref>announces: {{cite news Quote|last=Vincent |first=James |url=https://www.theverge.com/2018/11/13/18091774/google-deepmind-health-absorbing-streams-team-ai-assistant-nurse-doctor|title=Google "I'd be much more pessimistic about the way the world is absorbing DeepMind's health care unit going to create an go if I didn't know there was something as game-changing as AI assistant for nurses and doctors' |work=The Verge |date=13 November 2018 |accessdate=28 May 2019on the way."}}</ref><ref>{{cite web |last1=Vincent |first1=James |titlename="Google is absorbing DeepMind’s health care unit to create an ‘AI assistant for nurses and doctors’ |url=httpsDeepMind:the story behind the world's leading AI startup"//www.theverge.com/2018/11/13/18091774/google-deepmind-health-absorbing-streams-team-ai-assistant-nurse-doctor |website=theverge.com |accessdate=30 May 2019}}</ref>
|-
| 2018 2019 || December 2 February || {{w|AI}} development Achievement || DeepMind unveils AlphaFold, an algorithm able 's AI AlphaStar is revealed to predict the complex, three-dimensional shapes into which proteins can be folded. The prediction is based solely on their outperform human professionals at {{w|genetic sequenceStarCraft II}}, beating the humans 10 games in a row.<ref>{{cite web |last1=Lomas Grayson |first1=Natasha Nathan |title=Google's DeepMind claims early progress in AI-based predictive protein modelling Just Beat Two Pros At StarCraft II |url=https://techcrunchkotaku.com/2018/12/03/googles-deepmind-claimsai-earlyjust-progressbeat-intwo-aipros-basedat-predictivestarcraft-proteinii-modelling/ 1832034863 |website=techcrunchkotaku.com |accessdate=1 3 June 2019}}</ref><ref>{{cite web |last1=WIGGERS |first1=KYLE |title=Deepmind’s AlphaFold wins CASP13 protein-folding competition DeepMind Beats Pros at StarCraft in Another Triumph for Bots |url=https://venturebeatwww.wired.com/2018story/12/03/deepmindsdeepmind-alphafoldbeats-winspros-casp13starcraft-proteinanother-foldingtriumph-competitionbots/ |website=venturebeatwired.com |accessdate=1 3 June 2019}}</ref><ref>{{cite web |last1=Kahn |first1=Jeremy |title=Alphabet's DeepMind AI Algorithm Wins ProteinAlphaStar goes 10-Folding Contest 1 against top 'StarCraft II' pros |url=https://www.bloombergengadget.com/news2019/articles01/2018-12-0324/alphabet-s-deepmind-ai-algorithmstarcraft-winsii-proteindemonstration-foldingtlo-contest mana/ |website=bloombergengadget.com |accessdate=1 3 June 2019}}</ref><ref>{{cite web |last1=Sample |first1=Ian |title=Google's DeepMind predicts 3D shapes of proteins - StarCraft II Demonstration |url=https://www.theguardianstarcraft2.com/scienceen-us/2018news/dec/02/google-deepminds-ai-program-alphafold-predicts-3d-shapes-of-proteins 22871520?linkId=100000004774117 |website=theguardianstarcraft2.com |accessdate=1 June 28 May 2019}}</ref>
|-
| 2018 2019 || December February || Notable quote {{w|AI}} development | | DeepMind develops an algorithm aimed at boosting {{w|Demis Hassabiswind energy}} announces: efficiency. Google reports having increased energy production by 20% after installing its own AI software across its largest renewable energy facilities in the United States.<ref>{{quotecite web |last1=Cuff |first1=Madeleine |title=Google and DeepMind deploy AI to predict wind energy output |"I'd be much more pessimistic about the way the world is going url=https://www.businessgreen.com/bg/news/3071829/google-and-deep-mind-use-ai-to go if I didn't know there was something as game-changing as AI on the waypredict-wind-energy |website=businessgreen."com |accessdate=4 June 2019}}</ref name><ref>{{cite web |title="DeepMind: Google DeepMinduses AI technology to boost wind energy efficiency |url=https: the story behind the world's leading //www.edie.net/news/8/Google-to-boost-wind-generation-efficiency-with-AI startup"-powered-technology/>|website=edie.net |accessdate=4 June 2019}}</ref>
|-
| 2019 || February March || Achievement Team || As of date, DeepMind's {{w|AI}} AlphaStar is revealed to outperform human professionals at {{w|StarCraft II}}, beating the humans 10 games in a rowhas about 700 employees.<ref>{{cite web book |last1=Grayson Webb |first1=Nathan Amy |title=Google's DeepMind AI Just Beat Two Pros At StarCraft II The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity |url=https://kotakubooks.google.com.ar/googles-deepmindbooks?id=-ai-just-beat-two-pros-at-starcraft-ii-1832034863 |website=kotaku.com |accessdate9RtDwAAQBAJ&pg=3 June 2019}}</ref><ref>{{cite web |titlePT55&lpg=DEEPMIND BEATS PROS AT STARCRAFT IN ANOTHER TRIUMPH FOR BOTS |urlPT55&dq=https://wwwdeepmind+%22500.wired.com/story/deepmind-beats-pros-starcraft-another-triumph-bots/ |website1500%22+employees&source=wired.com |accessdatebl&ots=3 June 2019}}</ref><ref>{{cite web |title=DeepMind AI AlphaStar goes 10fxEkpTp_o-1 against top 'StarCraft II' pros |url&sig=https://www.engadget.com/2019/01/24/deepmindACfU3U2g7oK7c2Kt5mQv7y6Pb-ai-starcraft-ii-demonstration-tlo-mana/ |websiteKJkJ_wgA&hl=engadget.com |accessdateen&sa=3 June 2019}}</ref><ref>{{cite web |titleX&ved=DEEPMIND 2ahUKEwiw- STARCRAFT II DEMONSTRATION |url=https://starcraft2.com/en6-us/news/22871520?linkIdMu57jAhU_GbkGHQwsD28Q6AEwAHoECAkQAQ#v=100000004774117 |websiteonepage&q=starcraft2deepmind%20%22500..com |accessdate1500%22%20employees&f=28 May 2019false}}</ref>
|-
| 2019 || February April || Team || Google disbands the advisory board for DeepMind Health. It is the second disbanded review panel related to [[W:Alphabet Inc.|Alphabet]]'s AI dealings.<ref>{{wcite web |AI}} development last1=Fuertes |first1=Rechelle Ann | title=Google Disbands Advisory Board for DeepMind develops algorithm aimed at boosting {{wHealth |url=https://edgy.app/google-deepmind-advisory-board |wind energy}} efficiencywebsite=edgy. Google reports having increased energy production by 20% after installing its own {{wapp |AIaccessdate=3 June 2019}} software across its largest renewable energy facilities in the United States.</ref><ref>{{cite web |last1=Cuff Fuertes |first1=Madeleine Rechelle Ann |title=Google and Disbands Advisory Board for DeepMind deploy AI to predict wind energy output Health |url=https://wwwedgy.businessgreen.com/bg/news/3071829app/google-and-deep-mind-use-ai-to-predictdeepmind-windadvisory-energy board |website=businessgreenedgy.com app |accessdate=4 3 June 2019}}</ref><ref>{{cite web |last1=Merriman |first1=Chris |title=DeepMind: Google uses becomes the second Alphabet company to disband an AI technology to boost wind energy efficiency ethics panel |url=https://www.edietheinquirer.net/inquirer/news/83074256/Googlegoogle-deepmind-becomes-the-tosecond-boostalphabet-windcompany-generationto-efficiencyclose-withan-AIai-poweredethics-technology/ panel |website=edietheinquirer.net |accessdate=4 3 June 2019}}</ref>
|-
| 2019 || April || Team || Google disbands advisory board for DeepMind Health. It is the second disbanded review panel related to [[W:Alphabet Inc.|Alphabet]]'s {{w|AI}} dealings.<ref>{{cite web |last1=Fuertes development |first1=Rechelle Ann |title=Google Disbands Advisory Board for DeepMind Health researchers develop an {{w|url=https://edgyAI}} tasked with teaching itself to solve arithmetic, algebra and probability problems, among others.app/googleHowever, the neural network performs poorly when tested on a maths exam taken by 16-deepmindyear-advisory-board |website=edgyolds in the United Kingdom, getting just 14 out of 40 questions correct, or the equivalent of an E grade.app |accessdate=3 June 2019}}</ref><ref>{{cite web |last1=Fuertes Vaughan |first1=Rechelle Ann Adam |title=Google Disbands Advisory Board for DeepMind Health created a maths AI that can add up to 6 but gets 7 wrong |url=https://edgywww.appnewscientist.com/article/google2198761-deepmind-advisorycreated-a-maths-ai-that-board can-add-up-to-6-but-gets-7-wrong/ |website=edgynewscientist.app com |accessdate=3 June 2019}}</ref><ref>{{cite web |last1=Merriman Srivastava |first1=Chris Smriti |title=DeepMind becomes the second Alphabet company to disband an Examined AI ethics panel Neural Net Over High School Maths, but Lacked Success |url=https://www.theinquireranalyticsinsight.net/inquirer/news/3074256/google-deepmind-becomesexamined-theai-secondneural-alphabetnet-companyover-tohigh-closeschool-anmaths-aibut-ethicslacked-panel success/ |website=theinquireranalyticsinsight.net |accessdate=3 June 2019}}</ref>
|-
| 2019 || April June || {{w|AI}} development || DeepMind researchers develop an medical director Dominic King says {{w|AI}} tasked with teaching itself to solve arithmeticcould soon be used in predictive medicine, algebra achieving this by looking at a medical record and probability problems, among others. However, the neural network performs poorly when tested on a maths exam taken by 16-year-olds in the United Kingdom, getting just 14 out of 40 questions correct, or the equivalent of an E gradeelectronic health record data to make predictions.<ref>{{cite web |last1=Vaughan |first1=Adam |title=DeepMind created a maths health lead says AI that can add up to 6 but gets 7 wrong could soon be used in predictive medicine |url=https://www.newscientistdigitalhealth.com/article/2198761-deepmind-created-a-maths-ai-that-can-add-up-to-6-but-gets-7-wrongnet/ |website=newscientist.com |accessdate=3 June 2019}}</ref><ref>{{cite web |last1=Srivastava |first1=Smriti |title=DEEPMIND EXAMINED AI NEURAL NET OVER HIGH SCHOOL MATHS, BUT LACKED SUCCESS |url=https://www.analyticsinsight.net06/deepmind-examinedhealth-ailead-neuralsays-netai-overcould-highsoon-schoolbe-mathsused-butin-lackedpredictive-successmedicine/ |website=analyticsinsightdigitalhealth.net |accessdate=3 29 June 2019}}</ref>
|-
|}
* [[Timeline of AlphaGo]]
* [[Timeline of machine learning]]
* [[Timeline of OpenAI]]
==External links==
 
* [https://deepmind.com/ Official website]
==References==
{{Reflist|30em}}
62,666
edits

Navigation menu