A Review of AI and Machine Learning in Cosmology and Astrophysics | Adrian Bayer (Princeton) @KITP_UCSB
A Review of AI and Machine Learning in Cosmology and Astrophysics | Adrian Bayer (Princeton)  @KITP_UCSB
Uploaded February 2026 | Updated September 2026, 1 week ago
Recorded as part of the New Synergies in Multi-Probe Cosmology (#cmblss-c26) conference from the Kavli Institute for Theoretical Physics (KITP) at the University of California, Santa Barbara.

The conference will encompass talks presenting the most up-to-date results from recently completed and ongoing large-scale surveys spanning the entire gamut of observed wavelengths, ranging from radio, microwave, and optical to X-ray. Within this landscape of observables, the majority of the program will focus on innovative methods to combine multiple probes in order to advance our understanding of astrophysics and cosmology. Specific topics will include: Cosmic Microwave Background-Large Scale Structure (CMB-LSS) cross-correlation studies of the Sunyaev Zel’dovich effect and lensing, combined-probe analysis of galaxy clustering and lensing, measurement of the Integrated Sachs-Wolfe effect, cross-correlations of intensity mapping with other tracers of LSS, and an exploration of synergies between gravitational wave astronomy and LSS probes. The conference will provide attendees with a synoptic overview of ongoing surveys and state-of-the-art analysis techniques.

Coordinators: Stefano Borgani, Tzu-Ching Chang, Matthew Johnson, and Elizabeth Krause

More information: https://www.kitp.ucsb.edu/activities/cmblss-c26

Recordings and slide decks: https://online.kitp.ucsb.edu/online/cmblss-c26

__________________________________

Connect with KITP everywhere:

🔗 https://www.kitp.ucsb.edu
🦋 https://kitp-ucsb.bsky.social
𝕏 https://x.com/@kitp_ucsb
youtube.com/@KITP_UCSB
💻 linkedin.com/company/kavli-institute-for-theoretical-physics

__________________________________

The position of the KITP is that ownership and copyright of all online material -- slides, text, audio, video, and podcasts -- belongs to the author. KITP is providing dissemination for these materials but does not claim ownership. Any person citing these materials for scholarly purposes should provide an appropriate scholarly reference.
A Review of AI and Machine Learning in Cosmology and Astrophysics | Adrian Bayer (Princeton)Medium response to jet quenching | Yi Luna Chen (Vanderbilt)Spin waves and vortices in nonreciprocal planar lattice models | Sriram Ramaswamy (IISc)Critical assessment of results with comparisons between STAR and PHENIX | Lijuan Ruan (BNL)Cosmology with HI Intensity Mapping | Stefano Camera (U of Turin)Polymer gels to probe failure processes in geomaterials | John Kolinski (EPFL)Physics of intelligence | Café KITP by Fatih DinçDynamical preparation of U(1) quantum spin liquids in an analogue... | Monika Aidelsburger (MPQ)Scale-Free Interactions Mediated by Active and Driven Brownian Media | Sunghan Ro (Harvard)Rhombohedral Graphene and the Berry Trashcan | Andrei Bernevig (Princeton)Self-Driven Cytoskeleton Active Matter: long range dynamics... | Alexandra Tayar (Weizmann Inst.)The Mechanics of Active Interfaces, Bubbles, and Membranes | Ahmad Omar (UCB)
Kavli Institute for Theoretical Physics |

A Review of AI and Machine Learning in Cosmology and Astrophysics | Adrian Bayer (Princeton)

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER