A new material developed by MIT engineers exhibits “record-breaking” vapor absorption.

MIT researchers work to discover biodegradable polyesters, with support from the MIT Climate and Sustainability Consortium, J-WAFS, and DIC Corp.

A new AI-based approach for controlling autonomous robots satisfies the often-conflicting goals of safety and stability.

By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.

The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.

A record-breaking number of presenters flock to the MIT event’s poster competition; topics range from synthetic mucus to nature-inspired design.

The scientists used a natural language-based logical inference dataset to create smaller language models that outperformed much larger counterparts.

Technology demonstrations show the machine’s major components achieve the required performance.

A new multimodal technique blends major self-supervised learning methods to learn more similarly to humans.

A study inspired by the Japanese paper-cutting art provides a blueprint for designing shape-shifting materials and devices.