Podcast cover
Institute for Pure & Applied Mathematics (IPAM) ยท Science

Institute for Pure & Applied Mathematics (IPAM)

The Institute for Pure and Applied Mathematics (IPAM) is a National Science Foundation Math Institute at the University of California, Los Angeles (UCLA) that fosters the interaction of mathematics with a broad range of science and technology, builds new interdisciplinary research communities, promotes mathematical innovation, and engages and transforms the world through mathematics. IPAM fulfills its mission through workshops and programs that connect mathematics and other disciplines or multiple areas of mathematics. These activities bring in thousands of visitors annually from academia, government, and industry. The NSF has encouraged IPAM to make the scientific presentations of our speakers available to a wider audience. While this YouTube channel contains many of our most popular videos, our full video archive is available at www.ipam.ucla.edu/videos.

Episodes

Episode cover

Natasha Jaques - Social Reinforcement Learning - IPAM at UCLA

19 Feb 2022
27m
Episode cover

David Spivak - Sense-making: accounting for intelligibility - IPAM at UCLA

19 Feb 2022
32m
Episode cover

Fei Fang - Machine Learning and Game Theory for Social Impact - IPAM at UCLA

19 Feb 2022
20m
Episode cover

Jacob Foster - Institutions, innovation, and the social production of collective (un)intelligence

19 Feb 2022
32m
Episode cover

Pranab Das - Broadening the reach of mathematical approaches to the study of intelligences

18 Feb 2022
31m
Episode cover

Patrick Shafto - Cooperative communication as Belief Transport - IPAM at UCLA

18 Feb 2022
34m
Episode cover

Nika Haghtalab - Learning and Persuading with Anecdotes - IPAM at UCLA

18 Feb 2022
28m
Episode cover

Michael Muthukrishna - Paradox of diversity in the collective brain - IPAM at UCLA

18 Feb 2022
21m
Episode cover

Ali Jadbabaie - Persuasion, news sharing, and cascades on social networks - IPAM at UCLA

17 Feb 2022
30m
Episode cover

Robert Batterman - Mesoscale Models and Many-Body Systems - IPAM at UCLA

17 Feb 2022
26m
Episode cover

Josh Bongard - A xither of xenobots: demolishing dichotomous thinking with synthetic proto-organisms

17 Feb 2022
26m
Episode cover

Michael Levin - Plasticity w/out genetic change: bioelectric embryos & synthetic proto-organisms

17 Feb 2022
29m
Episode cover

David Ha - Collective Intelligence for Deep Learning: A Survey of Recent Developments

17 Feb 2022
28m
Episode cover

Orit Peleg - Physical Computation in Insect Swarms - IPAM at UCLA

17 Feb 2022
29m
Episode cover

Max Kleiman-Weiner - Multi-Agent Common Sense - IPAM at UCLA

16 Feb 2022
32m
Episode cover

Lisa Lee - Learning to Explore with Scalable Supervision - IPAM at UCLA

16 Feb 2022
24m
Episode cover

Elchanan Mossel - Some mathematical theorems on agreement and learning in networks - IPAM at UCLA

16 Feb 2022
22m
Episode cover

John Baez - Categories: the Mathematics of Connection - IPAM at UCLA

16 Feb 2022
22m
Episode cover

Lillian Ratliff - Learning via Conjectural Variations - IPAM at UCLA

16 Feb 2022
26m
Episode cover

Jessica Flack - Collective intelligence as collective computation: Future directions

15 Feb 2022
30m
Page 73

Follow this podcast in Podwise

Sign in to get AI summaries, transcripts and mind maps for any episode, including new ones.

Open in Podwise