COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Wolfson College Science Society > The rise of machine learning and its relevance for the natural sciences
The rise of machine learning and its relevance for the natural sciencesAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Dr Antonio M. M. Rodrigues. Abstract: Machine intelligence has recently demonstrated superhuman performance in domains such as autonomous driving, visual object recognition and chess. In this talk, I will highlight some of the major advances in machine learning over the past 5 years and discuss how the Lee Group is applying Machine Learning to problems in the natural sciences. The topics covered will include predicting the outcomes of chemical reactions, searching for novel solar energy materials as well as the use of techniques from statistical physics to better understand the learning process in artificial neural networks. This talk is part of the Wolfson College Science Society series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsSedgwick Club talks Race EqualityOther talksKarl Marx and the Cycles of American Capitalism The Evolutionary Genomics of Staphylococcus aureus Infections Looking forward to new physics with FASER: ForwArd Search ExpeRiment at the LHC It Keeps Me Seeking: The Invitation from Science, Philosophy and Religion Cafe Synthetique: Biosensors - from women's health to environmental surveillance Rapid in-house CSF analysis utilising sedimentation direct from the spinal needle’ |