(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

Supercomputing researchers document evolution of AI hardware 06/10/2026

An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.

Haley Wahl | MIT Lincoln Laboratory

Computational tools for society’s most complex challenges 02/10/2026

Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.

Michaela Jarvis | MIT Laboratory for Information and Decision Systems

New tool lets users repair AI-generated 3D models, then fabricate them just the way they want 01/10/2026

“InstructMesh” can generate designs for everyday objects that are easy to edit and fabricate for both experts and newcomers to 3D modeling.

Alex Shipps | MIT CSAIL

Lung cancers can use two different mechanisms to evade KRAS-inhibiting drugs 30/09/2026

Some tumor cells develop resistance by amplifying the KRAS gene, while others change their tumor type, MIT researchers have found.

Anne Trafton | MIT News

A new technique could accelerate the development of RNA therapies 25/09/2026

MIT chemical engineers found a way to rapidly produce lipid nanoparticles of varying sizes, which could make it easier to develop new vaccines and therapeutics.

Anne Trafton | MIT News

Biologists identify a cellular pathway that allows colorectal cancer to metastasize 24/09/2026

They also found that obesity may put patients at higher risk for activation of the pathway. Drugs that block the pathway may help prevent metastasis.

Anne Trafton | MIT News