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| 2018 || June 14 || {{w|AI}} development || DeepMind develops a neural network that teaches itself to ‘imagine’ a scene from different viewpoints, based on just a single image. The new type of computer vision algorithm can generate 3D models of a scene from 2D snapshots. It can tease out details from the static images to guess at spatial relationships, including the camera’s position. Dubbed a Generative 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’s AI can ‘imagine’ a world based on a single picture |url=https://www.newscientist.com/article/2171675-deepminds-ai-can-imagine-a-world-based-on-a-single-picture/ |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://www.abc.net.au/news/science/2018-06-15/googles-deepmind-algorithm-can-teach-itself-to-see/9861590 |website=abc.net |accessdate=1 June 2019}}</ref><ref>{{cite web |last1=WIGGERS |first1=KYLE |title=Google’s DeepMind develops AI that can render 3D objects from 2D pictures |url=https://venturebeat.com/2018/06/14/googles-deepmind-develops-ai-that-can-render-3d-objects-from-2d-pictures/ |website=venturebeat.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 June 2019}}</ref>
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| 2018 || June 15 || Controversy || The DeepMind Health Independent Reviewers’ 2018 report warns on about the potential for DeepMind Health to be able to “exert excessive monopoly power” as a result of the data access and streaming infrastructure that’s bundled with provision of the Streams app, which would position DeepMind as the access-controlling intermediary between the structured health data and any other third parties.<ref>{{cite web |last1=Lomas |first1=Natasha |title=UK report warns DeepMind Health could gain ‘excessive monopoly power’ |url=https://techcrunch.com/2018/06/15/uk-report-warns-deepmind-health-could-gain-excessive-monopoly-power/ |website=techcrunch.com |accessdate=3 June 2019}}</ref><ref>{{cite web |last1=Lomas |first1=Natasha |title=Building health AIs should be UK ambition, says strategy review |url=https://techcrunch.com/2017/08/31/building-health-ais-should-be-uk-ambition-says-strategy-review/ |website=techcrunch.com |accessdate=3 June 2019}}</ref>
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| 2018 || June 26 || || Dr {{w|Demis Hassabis}} is enlisted by the British government's {{w|Department for Digital, Culture, Media and Sport}} (DCMS), as an adviser to the Government’s new {{w|Office for Artificial Intelligence}}.<ref>{{cite web |title=DeepMind co-founder among experts to advise Government on using AI |url=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 |title=UK enlists DeepMind's Demis Hassabis to advise its new Government Office for AI |url=https://www.zdnet.com/article/uk-enlists-deepminds-demis-hassabis-to-advise-its-new-government-office-for-ai/ |website=zdnet.com |accessdate=3 June 2019}}</ref>
