Data
Data

Making climate models relevant for local decision-makers

A new downscaling method leverages machine learning to speed up climate model simulations at finer resolutions, making them usable on local levels.

A data-driven approach to making better choices

In the new economics course 14.163 (Algorithms and Behavioral Science), students investigate the deployment of machine-learning tools and their potential to understand people, reduce bias, and improve society.

A technique for more effective multipurpose robots

With generative AI models, researchers combined robotics data from different sources to help robots learn better.

Looking for a specific action in a video? This AI-based method can find it for you

A new approach could streamline virtual training processes or aid clinicians in reviewing diagnostic videos.

School of Engineering welcomes new faculty

Fifteen new faculty members join six of the school’s academic departments.

A community collaboration for progress

Graduate student Nolen Scruggs works with a local tenant association to address housing inequality as part of the MIT Initiative on Combatting Systemic Racism.

From steel engineering to ovarian tumor research

Ashutosh Kumar, a materials science and engineering PhD student and MathWorks Fellow, applies his eclectic skills to studying the relationship between bacteria and cancer.

An AI dataset carves new paths to tornado detection

TorNet, a public artificial intelligence dataset, could help models reveal when and why tornadoes form, improving forecasters’ ability to issue warnings.

This tiny chip can safeguard user data while enabling efficient computing on a smartphone

Researchers have developed a security solution for power-hungry AI models that offers protection against two common attacks.

Advancing technology for aquaculture

MIT Sea Grant students apply machine learning to support local aquaculture hatcheries.