From Entropy to Epiplexity – Rethinking Information for Computationally Bounded Intelligence
Join the next AI-MI Seminar Series on 04/09 at 3:00 PM ET with Andrew Wilson, Professor at Courant Institute, NYU. A new theory of “epiplexity” explains how computationally bounded learners can extract—and even create—useful structure from data, resolving paradoxes in classical information theory and offering a foundation for evaluating and improving datasets. Watch live on YouTube: www.youtube.com/@AIMaterialsInstitute