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Have reports of AI replacing mathematicians been greatly exaggerated? Artificial intelligence has attained an impressive series of feats — solving problems from the International Math Olympiad, conducting encyclopedic surveys of academic literature, and even finding solutions to some longstanding research questions. Yet these systems largely remain unable to match top experts in the conceptual frontiers of research math.
Greetings from Berkeley, where our program on Federated and Collaborative Learning is in full swing. In January, we hosted our winter Scientific Advisory Board meeting, preceded by a Theory Day with talks by some of our board members. We also had two groups of Circles participants here for a week of collaboration. And this was in addition to a workshop, a boot camp, a program reunion, and a Richard M. Karp Distinguished Lecture.
In many areas of machine learning, theory and practice have undergone a dramatic divergence; there is extremely little theory to guide our understanding of much of modern AI. Some of what’s likely called for is revolutionary new theory. In this Richard M. Karp Distinguished Lecture, however, Katrina Ligett (Hebrew University) explored a more conservative idea: that we sometimes approach the theory of learning in a way that leaves money on the table.
When machine learning systems bridge from prediction to intervention — such as in statistical profiling of job seekers — seemingly minor modeling decisions can have profound consequences for who ultimately receives support. In her talk during the workshop on Bridging Prediction and Intervention Problems in Social Systems, Frauke Kreuter (LMU Munich and University of Maryland) examined how different choices in the data science pipeline affect not just predictive accuracy, but the actual composition of individuals flagged for intervention.
Alice Guionnet is Directrice de recherche at CNRS in ENS de Lyon and their research interests are large random matrices, large deviations and particle systems.
Mostafa Sabri graduated from Cairo university in 2009, then did his master and PhD in France (Paris 7 Denis-Diderot), under Anne Boutet de Monvel and Victor Chulaevsky, defending his thesis in 2014. He then became an assistant professor in Cairo in 2015...
His research explores theoretical and computational problems in diverse areas of Physical Chemistry: from quantum dynamics of small molecules to processing experimental data. While the key aspect in most of the projects in his research center is the use of...