A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery. The framework, Information-Contrastive Learning (I-Con), connects diverse ...

Stat 304 is *not* a substitute for Comp_Sci 214. Machine Learning is the study of algorithms that improve automatically through experience. Topics covered typically include Bayesian Learning, Decision ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...