(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

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

AI agents create virtual playgrounds to help robots get crucial training data 13/07/2026

“SceneSmith” system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores.

Alex Shipps | MIT CSAIL

New method aims to keep kids safe from illegal AI-generated content 13/07/2026

Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.

Adam Zewe | 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

Two MIT faculty members named 2026 Pew Biomedical Scholars 29/06/2026

Cell biologist Whitney Henry and immunologist Harikesh Wong will receive four years of flexible funding to advance early-career research on ferroptosis and immune decision-making.

Nina Tamburello | Nikolay Kolev | Koch Institute | Ragon Institute

Meet the leader of the Department of Biology’s all-important “kitchen” 22/06/2026

Karen O’Leary, lab associate and acting supervisor in the Glassware Sterilization Facility (a.k.a. “the kitchen”), has become a cornerstone of the department’s operations.

Samantha Edelen | Department of Biology