This white paper is an outcome of IPAM’s fall 2019 exploratory workshop, Deep Fakery: Mathematical, Cryptographic, Social, and Legal Perspectives. Represented at the workshop were members of the mathematics, machine learning, cryptography, philosophy, social science, legal, and policy communities. Discussion at the workshop focused on […]
This white paper is an outcome of IPAM’s fall 2019 long program, Machine Learning for Physics and the Physics of Learning. During the last couple of decades advances in artificial intelligence and machine learning (ML) have revolutionized many application areas such as image recognition and language […]
Rafail Ostrovsky, professor of Computer Science and Mathematics at UCLA, has been elected as a Foreign Member of Academia Europaea class of 2019! Among his many accomplishments, Ostrovsky is the Director for the Center of Information and Computation Security at the Henry Samueli School of […]
IPAM is pleased to share our annual newsletter featuring Tatiana Toro’s (University of Washington) inspiration for the Latinx in the Mathematical Sciences (LatMath) Conference and Frank Noe’s (Freie Universität Berlin) experience in establishing interdisciplinary collaborations in the dynamic field of machine learning at IPAM. This […]
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