Neural Networks – Complexity Research Team (CRT)

(PINNs) – Physics Informed Neural Networks: Algorithms, Theory, and Applications

Posted on 11/11/202008/03/2022 by karaka

A model of virtuosity 19/11/2024

Acclaimed keyboardist Jordan Rudess’s collaboration with the MIT Media Lab culminates in live improvisation between an AI “jam_bot” and the artist.

Nicole Estvanik Taylor | Arts at MIT

Can robots learn from machine dreams? 19/11/2024

MIT CSAIL researchers used AI-generated images to train a robot dog in parkour, without real-world data. Their LucidSim system demonstrates generative AI's potential for creating robotics training data.

Rachel Gordon | MIT CSAIL

Graph-based AI model maps the future of innovation 12/11/2024

An AI method developed by Professor Markus Buehler finds hidden links between science and art to suggest novel materials.

Stephanie Martinovich | Department of Civil and Environmental Engineering

Curiosity, images, and scientific exploration 19/11/2024

Professor of the practice Alan Lightman’s new book digs into the wonder of striking visual phenomena in nature.

Peter Dizikes | MIT News

When a cell protector collaborates with a killer 18/11/2024

New research reveals what it takes for a protein that is best known for protecting cells against death to take on the opposite role.

Jennifer Michalowski | McGovern Institute for Brain Research

When muscles work out, they help neurons to grow, a new study shows 12/11/2024

The findings suggest that biochemical and physical effects of exercise could help heal nerves.

Jennifer Chu | MIT News