In brief
The Joint Mathematics Meetings in Seattle featured discussions on women's contributions to math, A.I. as co-authors, and future challenges.
The largest congregation of mathematicians, the Joint Mathematics Meetings (J.M.M.), recently took place in Seattle from January 8 to January 11, attracting 5,444 participants and hosting 3,272 presentations. This year’s theme, "Mathematics in the Age of A.I.," was introduced by Bryna Kra, president of the American Mathematical Society. She emphasized the importance of examining A.I.'s implications for teaching and research, declaring it time for mathematics to evolve alongside technological advancements. Notably, A.I. expert Yann LeCun, Meta's chief A.I. scientist, delivered a keynote address titled "Mathematical Obstacles on the Way to Human-Level A.I." He candidly shared his views on the current state of machine learning, humorously stating, “the current state of machine learning is that it sucks.” Despite the setbacks in developing A.I. that could match human cognitive abilities—let alone replicate a cat's behavior—LeCun advocated for employing large-scale world models to foster improvements in technology.The conference also addressed various mathematical subjects, including the contributions of women in the field and the innovative use of mathematical principles in unconventional applications, such as the design of a patchwork denim skirt. As the mathematicians engaged in these discussions, the overarching takeaway resonated with Dr. Kra’s sentiments: A.I. is already integral to education and research, and grappling with its presence will define the future trajectory of mathematics.
