Teachers in the art of life make little distinction between job and free time – Zen thoughts…
Science is like sex: sometimes something useful come out, but that is not the reason we are doing it – Richard Feynman
I’m professor of computer science at the University of Siena and 3IA chair at Université Côte d’Azur, Nice (MAASAI lab https://team.inria.fr/maasai/team-members/). My research interests are in the field of artificial intelligence, with emphasis on machine learning, vision, and game playing. In the last few years, I’ve been mainly involved in the unification of computational processes of reasoning and learning. I’m mostly driven by the principle that the the emergence of cognition is rooted in natural laws of computation. I also very much like discussions on novel models of computation and their relationships with human brain.
A real tour-de-force across the landscape of a field — machine learning — which is developing very rapidly and is transforming a large swath of today’s science and engineering of intelligence.
Tomaso Poggio, MIT
This very interesting book brings a fresh look at machine learning and deep learning from the broad point of view in which learning corresponds to satisfying constraints, encompassing the perceptual as well as the symbolic, soft as well as hard constraints.
Yoshua Bengio, Université de Montréal
A fairly comprehensive and original book on machine learning, including deep learning, written from a constraint-based perspective where Marco Gori shares his passion for the topic with his reader. The book comes also with a set of useful problems, exercises, solutions, as well as a companion web site.
Pierre Baldi, University of California Irvine