Computer science and technology
Computer science and technology

With generative AI, MIT chemists quickly calculate 3D genomic structures

A new approach, which takes minutes rather than days, predicts how a specific DNA sequence will arrange itself in the cell nucleus.

3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities

MIT CSAIL Principal Research Scientist Una-May O’Reilly discusses how she develops agents that reveal AI models’ security weaknesses before hackers do.

New training approach could help AI agents perform better in uncertain conditions

Sometimes, it might be better to train a robot in an environment that’s different from the one where it will be deployed.

Toward video generative models of the molecular world

Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, connecting static molecular structures and developing blurry pictures into videos.

Explained: Generative AI’s environmental impact

Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.

Algorithms and AI for a better world

Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.

Algorithms and AI for a better world

Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.

New computational chemistry techniques accelerate the prediction of molecules and materials

With their recently-developed neural network architecture, MIT researchers can wring more information out of electronic structure calculations.

Q&A: The climate impact of generative AI

As the use of generative AI continues to grow, Lincoln Laboratory’s Vijay Gadepally describes what researchers and consumers can do to help mitigate its environmental impact.

Teaching AI to communicate sounds like humans do

Inspired by the mechanics of the human vocal tract, a new AI model can produce and understand vocal imitations of everyday sounds. The method could help build new sonic interfaces for entertainment and education.