SceneSmith, a new system developed at MIT uses three agents to piece together the objects, walls, and overall look of a 3D scene. Its realistic recreations of indoor spaces help robots practice skills and try out different ways of doing tasks before they’re powered on. 

With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Roblox is launching a generative AI that builds 3D environments in a snap.

MIT researchers find circadian variations in liver function play an important role in how drugs are broken down in the body.

The advance offers a way to characterize a fundamental resource needed for quantum computing.

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

MIT spinout DataCebo helps companies bolster their datasets by creating synthetic data that mimic the real thing.

Alumni-founded Pienso has developed a user-friendly AI builder so domain experts can build solutions without writing any code.

Using a machine-learning algorithm, researchers can predict interactions that could interfere with a drug’s effectiveness.

MIT engineers developed a tag that can reveal with near-perfect accuracy whether an item is real or fake. The key is in the glue on the back of the tag.