This workshop aims to bring together researchers in stochastic analysis, statistics and theoretical machine learning for an exchange of ideas at the forefront of the field. The
The second edition of I-X Breaking Topics in AI conference sponsored by Schmidt Sciences.
This presentation will showcase recent advancements in micro-robotic systems, focusing on the innovative application of non-contact optical manipulation using Optical Tweezers (OT).
This talk discusses rough path theory, an area of mathematics that fuses the control theory of Sussmann, Brockett and Fleiss with the analysis of Young to form a calculus that can efficiently describe the interaction and evolution of complex oscillatory systems.
This informal Q&A is for anyone interested in finding out more about the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowships before applying to the scheme.
This talk delves into the comprehensive journey of medical images through the stages of segmentation, reconstruction, and their iterative interplay.
This talk delves into how we can use machine learning tools to study learning and adaption in the brain.
