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DSI NewsApr 24, 2025

DSI and The Patrick J. McGovern Foundation Invite the Next Generation to Imagine Data and AI for Good

DSI NewsApr 22, 2025

The University of Chicago Data Science Institute and Google Partner on Cutting-Edge AI and Security Research

DSI NewsFeb 13, 2025

Transform Data Science and AI Accelerator Accepts 6 Startups into Latest Cohort

DSI NewsDec 09, 2024

New Fellowship Program for Faculty at Nigerian Universities

DSI NewsNov 26, 2024

From Classroom to Career: How One Student’s DSI Clinic Experience Shaped Her Path

DSI NewsNov 25, 2024

Fifth Annual Rising Stars in Data Science Celebrates 30 Early-Career Data Scientists

DSI NewsSep 12, 2024

DSI Launches Three New Research Initiatives

Figures 1a-b show the general strategy: during a training period (fig. 1a), a time-dependent state is imposed on the system. This is pictured by an origami bird whose wings are periodically moved by an external agent. After training (fig. 1b), a retrieval period during which the physical system evolves under the learned dynamics should lead to a dynamic state that matches the training as best as possible. (fig. 1c and 1d) Demonstration of the training and retrieval procedure using a programmable LEGO toy. The angular positions of two motors are imposed by hand during a training phase (fig. 1c), during which couplings between the motors are learned. Dynamics during retrieval, with learned couplings, can produce fixed points as well as dynamic states where the angles constantly change (fig. 1d). See this video for a detailed description.

BlogSep 03, 2024

Developing a smart material that can learn from example

DSI NewsAug 29, 2024

DSI Celebrates Culmination of 2024 Summer Programs

Campus NewsAug 29, 2024

NSF awards $20 million to build AI models that predict scientific discoveries and technological advancements