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

(PINNs) – Physics Informed Neural Networks: Algorithms, Theory, and Applications, MSML2020 Invited Talk by Prof. George Karniadakis, Brown University

A better way to turn 2D designs into 3D models for rapid prototyping 16/07/2026

Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.

Adam Zewe | MIT News

3 Questions: Neural transparency and the future of AI design 15/07/2026

Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.

Media Lab

Can AI build a jet engine? JARVIS Challenge tests role of AI copilots in tough-tech engineering 14/07/2026

MIT students designed, built, and tested a jet engine with AI copilots, assessing AI’s usefulness in developing high-performance aerospace systems.

Department of Aeronautics and Astronautics

MIT Professor Susumu Tonegawa, renowned molecular biologist and Nobel laureate, dies at 86 15/07/2026

Tonegawa made landmark discoveries about how the immune system generates antibody diversity and how the brain forms memories.

Anne Trafton | MIT News

Ketogenic diets may increase cancer risk in the small intestine 15/07/2026

MIT researchers have found that a ketogenic high-fat, low-carbohydrate diet fuels the growth of intestinal tumors.

Anne Trafton | MIT News

Why are some bacterial genes high in purines? 02/07/2026

In certain species of bacteria, the answer lies in shielding RNA transcripts from a quality-control factor called Rho. Understanding the requirements for expressible sequences is critical for expression engineering of therapeutic agents.

Lillian Eden | Department of Biology