"Machine learning is changing our lives. The ability of deep artificial neural networks to learn efficiently is inspiring researchers to think about artificial intelligence in an unprecedented way, not to mention the prompting of competition between tech giants or the launch of countless startups across the globe. Many agree, though, that deep learning is still an empirical field and there is an urgent and fundamental need for a continuous progress in algorithms design and for an in-depth theoretical analysis. That is one of the reasons why Riccardo Zecchina’s work is relevant. A new arrival at the Department of Decision Sciences, Zecchina operates at the intersection between computer science, information theory, statistical physics, computational biology. “Life sciences and social sciences”, he says “are undergoing a major revolution”."
Read the full article by Claudio Todesco here.