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Our Mission

The Collaborative AI Lab - CAIL at Bocconi comprises a multidisciplinary group of researchers conducting theoretical, algorithmic and applied studies on intelligent systems, building on tools from computer science, statistical physics, statistics, theoretical economics, and computational biology. Mathematics is their common language.

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Image of ELLIS Online workshop on QPhML on 6-8 July 2020
online
06/07/2020, 09:45 - 08/07/2020, 19:00
ELLIS Online workshop on QPhML on 6-8 July 2020
Image of "Rough-glassy landscapes from inference to machine learning”
Room 3-e4-sr03 - Via G. Rontgen, 1 (floor 3)
13/12/2019, 12:30 - 13/12/2019, 14:00
Total Search Problems and Cryptography, Alon Rosen (Herzliya Interdisciplinary Center)
Image of "Rough-glassy landscapes from inference to machine learning”
Room 3-e4-sr03 - Via G. Rontgen, 1 (floor 3)
19/11/2019, 12:45 - 19/11/2019, 14:00
Bayesian Auctions with Efficient Queries, Jing Chen (Stony Brook University)
Image of "Rough-glassy landscapes from inference to machine learning”
BOCCONI UNIVERSITY - PEREGO HALL
30/10/2019, 16:00 - 30/10/2019, 19:00
Seminar on Machine Learning and Business - Vodafone Chair in Machine Learning and Data Science
Kumer inversa
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Contacts

Collaborative AI Lab
Via Röntgen n. 1, Milan 20136 (ITALY)
Phone: +39 02 5836.6420
E-mail: cail@unibocconi.it

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