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| 2018 || November 13 || Team || Google announces DeepMind’s health care unit to be absorbed to the holding company to create an ‘AI assistant for nurses and doctors’.<ref>{{cite news |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 is absorbing DeepMind's health care unit to create an 'AI assistant for nurses and doctors' |work=The Verge |date=13 November 2018 |accessdate=28 May 2019}}</ref><ref>{{cite web |title=Google Is Absorbing DeepMind's Health Care Unit To Create An 'AI Assistant For Nurses and Doctors' |url=https://science.slashdot.org/story/18/11/13/2252225/google-is-absorbing-deepminds-health-care-unit-to-create-an-ai-assistant-for-nurses-and-doctors |website=science.slashdot.org |accessdate=11 June 2019}}</ref>
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| 2018 || November 19 || {{w|AI}} development || DeepMind safety research team publishes a paper on scalable agent alignment via reward modeling. The paper gives a summary of a research direction for solving the agent alignment problem.<ref>{{cite web |last1=Leike |first1=Jan |title=Scalable agent alignment via reward modeling |url=https://medium.com/@deepmindsafetyresearch/scalable-agent-alignment-via-reward-modeling-bf4ab06dfd84 |website=medium.com |accessdate=11 June 2019}}</ref><ref>{{cite journal |last1=Leike |first1=Jan |last2=Krueger |first2=David |last3=Everitt |first3=Tom |last4=Martic |first4=Miljan |last5=Maini |first5=Vishal |last6=Legg |first6=Shane |url=https://arxiv.org/abs/1811.07871}}</ref>|-| 2018 || December 2 || {{w|AI}} development || DeepMind unveils AlphaFold, an {{w|algorithm }} able to predict the complex, three-dimensional shapes into which proteins can be folded. The prediction is based solely on their {{w|genetic sequence}}.<ref>{{cite 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 |accessdate=1 June 2019}}</ref><ref>{{cite 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 |accessdate=1 June 2019}}</ref><ref>{{cite web |last1=Kahn |first1=Jeremy |title=Alphabet's DeepMind AI Algorithm Wins Protein-Folding Contest |url=https://www.bloomberg.com/news/articles/2018-12-03/alphabet-s-deepmind-ai-algorithm-wins-protein-folding-contest |website=bloomberg.com |accessdate=1 June 2019}}</ref><ref>{{cite web |last1=Sample |first1=Ian |title=Google's DeepMind predicts 3D shapes of proteins |url=https://www.theguardian.com/science/2018/dec/02/google-deepminds-ai-program-alphafold-predicts-3d-shapes-of-proteins |website=theguardian.com |accessdate=1 June 2019}}</ref>
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| 2018 || December || Notable quote || {{w|Demis Hassabis}} announces: "I'd be much more pessimistic about the way the world is going to go if I didn't know there was something as game-changing as AI on the way."<ref name="Google DeepMind: the story behind the world's leading AI startup"/>
