Insights and tools developed by physicists to describe systems that evolve within complex, high-dimensional landscapes have led to the formulation of novel algorithms for a variety of problems in computer science. An especially tantalizing prospect is the possibility that a similar analogy could be developed to understand deep learning. This conference brings together computer scientists, probabilists and mathematicians as well as statistical physicists to document progress and identify opportunities at this interface.

PLEASE NOTE: During the conference there will be an opportunity to present a poster. If you are interested in presenting a poster please visit the conference website and submit your title and abstract. Each poster board is 4 feet high x 6 feet wide. We ask that the posters be no larger than 44 inches high x 34 inches wide at the most (it is important to follow these measurements or posters may be turned down due to limited space) . There will not be a poster selection, all posters are welcome. The deadline to submit posters is 2 weeks prior to the conference Friday December 21, 2018.