Pinned Very honoured to be included in this year’s #Time100AI list of influential people in AI🎈And more so the humbling messages from so many people ❤️. The work on directing AI to social purpose remains, and the ownership and inclusion of global communities🌍time.com/collection/tim…
🥳 Our work on machine learning for medium range weather predictions is this week’s cover of Science🎄This is a fun area to work in and lots more scope for us as a field to support a range of decision-making needs. 🌍
Excited to be giving an introduction to Bayesian Machine Learning tomorrow @MLSS_Tuebingen 🥳. Going attempt to cover: topics in Bayesian theory; tricks for manipulating probabilities; topics in ethics and social impact; raising interest in Bayesian thinking. 🎲#virtual#MLSS2020
Excited to share a new paper on Decolonisation and AI. With the amazing @png_marie @wsisaac 🤩 we explore why Decolonial theory matters for our field, and tactics to decolonise and reshape our field into a Decolonial AI. Feedback please 🙏🏾 Thread 👇🏾arxiv.org/abs/2007.04068
We've worked for a few years on the problem of nowcasting, making short-term weather predictions ☔️. I think this is a powerful example of what is possible with generative models 🚀🤩. Excited to share our paper in @Nature today🎉🥳. nature.com/articles/s4158…
Really excited to share our latest paper in @Nature today on machine learning for health data to make early predictions of acute kidney injury. Has been an amazing journey over the last 2 years and with an amazing set of people. nature.com/articles/s4158…
First post for 2018! Machine Learning Trick of the Day (7): Density Ratio Trick. Somehow let 2 years pass and a long list of tricks are waiting. In this post, on the importance of statistical comparisons, density ratios and classification.wp.me/p3hD0L-be
A great honour that our work on medium-range weather forecasting and Graphcast has been selected as the winner of this year’s MacRobert award, the UK’s premier award for engineering innovation 🥳
