“Alchemist” system adjusts the material attributes of specific objects within images to potentially modify video game models to fit different environments, fine-tune VFX, and diversify robotic training.

A new technique that can automatically classify phases of physical systems could help scientists investigate novel materials.

A new “consensus game,” developed by MIT CSAIL researchers, elevates AI’s text comprehension and generation skills.

A new algorithm learns to squish, bend, or stretch a robot’s entire body to accomplish diverse tasks like avoiding obstacles or retrieving items.

MIT CSAIL and Project CETI researchers reveal complex communication patterns in sperm whales, deepening our understanding of animal language systems.

Together, the Hasso Plattner Institute and MIT are working toward novel solutions to the world’s problems as part of the Designing for Sustainability research program.

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

For the first time, researchers use a combination of MEG and fMRI to map the spatio-temporal human brain dynamics of a visual image being recognized.

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

Such discoveries help researchers better understand the development of molecular complexity in space during star formation.