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| 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>
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| 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 |first1=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 |first1=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 |first1=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>
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| 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 |first1=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>
