129 - Machine learning, molecular simulation, and the opportunity for societal good with Chris Bishop and Max Welling

In this episode, Chris Bishop, the Lab Director of Microsoft Research Cambridge, talks with Max Welling, a renowned machine learning researcher, about the intersection of molecular simulation, machine learning, and societal impact. By leveraging machine learning to tackle challenges related to molecular simulation, there is the potential for significant breakthroughs in addressing issues such as climate change, drug discovery, and disease treatment, among others. Microsoft Research is doubling down on its efforts in this space, and Welling has been brought on as head of the new Amsterdam lab.

Bishop and Welling, who both share a background in physics, delve into a range of fascinating topics, including the possibilities for machine learning and quantum computing to work together to model molecules, the power of machine learning to deliver "on-demand" data, and the lab's goals for the first year and beyond.

If you're interested in the cutting-edge developments in machine learning and the potential for this field to drive positive societal change, this episode is definitely worth a listen.

Link to the episode: https://open.spotify.com/episode/6ICx95hP8goBPhy2EIH1GU