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 researcher in machine learning and head of the new Amsterdam lab, about the intersection of molecular simulation and machine learning. The use of machine learning to tackle challenges in molecular simulation has immense potential for breakthroughs in areas such as drug discovery, climate change, and disease treatment.

The discussion focuses on the future pairing of machine learning with quantum computing to model molecules and how machine learning can provide on-demand data in this space. The conversation is driven by Bishop and Welling's shared background in physics and their mutual fascination with the power of machine learning.

Microsoft's increased focus on this field is evident by the establishment of a new lab in Amsterdam and the exciting goals it has set for itself. This episode offers a glimpse into the potential of machine learning to revolutionize the world of molecular simulation and make a significant impact on society.