Automation
• AI and Science

References for Theme: AI and Science

• Butler, Keith T; Davies, Daniel W; Cartwright, Hugh; Isayev, Olexandr; Walsh, Aron
• "Machine learning for molecular and materials science" (2018)

• Cartwright, Hugh M
• Machine Learning in Chemistry: The Impact of Artificial Intelligence (2020)

• Diebolt, Vincent; Azancot, Isaac; Boissel, François-Henri; Adenot, Isabelle; Balague, Christine; Barthélémy, Philippe; Boubenna, Nacer; Coulonjou, Hélène; Fernandez, Xosé; Habran, Enguerrand; Lethiec, Françoise; Longin, Juliette; Metzinger, Anne; Merlière, Yvon; Pham, Emmanuel; Philip, Pierre; Roche, Thomas; Saurin, William; Tirel, Anny; Voisin, Emmanuelle; Marchal, Thierry
• "“Artificial intelligence”: Which services, which applications, which results and which development today in clinical research? Which impact on the quality of care? Which recommendations?" (2019)

• Ekins, Sean; Puhl, Ana C; Zorn, Kimberley M; Lane, Thomas R; Russo, Daniel P; Klein, Jennifer J; Hickey, Anthony J; Clark, Alex M
• "Exploiting machine learning for end-to-end drug discovery and development" (2019)

• Flach, Peter
• Machine Learning: The Art and Science of Algorithms that Make Sense of Data (2012)

• Fleming, Nic
• "How artificial intelligence is changing drug discovery" (2018)

• Helbert, Joern; D'Amore, Mario; Aye, Michael; Kerner, Hannah
• Machine Learning for Planetary Science (2021)

• Hsieh, William W
• Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels (2009)

• Maraut, Stéphane; Martínez, Catalina; Dalle, Jean Michel; Den Besten, Matthijs
• "Microwork platforms as enablers to new ecosystems and business models: the challenge of managing difficult tasks" (2017)

• Peiretti, Franck; Brunel, Jean Michel
• "Artificial Intelligence: The Future for Organic Chemistry?" (2018)

• Petretta, Mario
• "Applications of Machine Learning in Medicine" (2019)