Saturday Science Lecture with Zohar Nussinov on Information, Physics, and Machine Learning

We will briefly review how information content (and its average value, the entropy) plays a key role in various branches of physics (from idealized engines to black holes) and illustrate the use of entropy in solving various known logic puzzles, reconstructing redacted messages, and other tasks. We conclude by, very qualitatively, sketching several key physics based ideas in artificial neural networks and explain why entropy based measures underlie many current machine learning endeavors. 

The Zoom link will be sent via email to everyone on our email list before each lecture. Those wishing to join the email list should email a request to physics@wustl.edu.