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Pedro Domingos is one of the world's top machine learning researchers, and a Professor in the Department of Computer Science and Engineering at the University of Washington. He is a Fellow of the Association for the Advancement of Artificial Intelligence and has received Fulbright and Sloan Fellowships and the National Science Foundation's CAREER Award.

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Most subfields of computer science have an interface layer via which applications communicate with the infrastructure, and this is key to their success (e.g., the Internet in networking, the relational model in databases, etc.). So far this interface layer has been missing in AI. First-order logic and probabilistic graphical models each have some of the necessary features, but a viable interface layer requires combining both. Markov logic is a...

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Algorithms increasingly run our lives. They find us books, movies, jobs, and dates, manage our investments, and discover new drugs. More and more, these algorithms work by learning from the trails of data we leave in our newly digital world. Like curious children, they observe us, imitate, and experiment. And in the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering ...

La nostra società è immersa negli algoritmi. Ogni volta che visitiamo un sito web cercando un libro o un film, o che navighiamo tra i negozi online, lasciamo dietro di noi una lunga traccia digitale che descrive le nostre abitudini e le nostre preferenze, questa traccia è il "materiale grezzo", il database da cui algoritmi sempre più sofisticati traggono le informazioni per proporci il prodotto di cui abbiamo (o crediamo di avere) bisogno. Gli...