Most antibiotics target metabolically active bacteria, but with artificial intelligence, researchers can efficiently screen compounds that are lethal to dormant microbes.

Food fraud costs billions globally. But blockchain and machine learning offer hope for a more transparent and safer food system.

MIT CSAIL researchers are using ideas from game theory to improve the reliability of language generation in language models.

New research by a team of MIT engineers offers a guide for fine-tuning specific material properties.

The 16 finalists — representing every school at MIT — will explore generative AI’s impact on privacy, art, drug discovery, aging, and more.

The new approach “nudges” existing climate simulations closer to future reality.

Researchers demonstrate a technique that can be used to probe a model to see what it knows about new subjects.

With help from a large language model, MIT engineers enabled robots to self-correct after missteps and carry on with their chores.

Novel method makes tools like Stable Diffusion and DALL-E-3 faster by simplifying the image-generating process to a single step while maintaining or enhancing image quality.

FeatUp, developed by MIT CSAIL researchers, boosts the resolution of any deep network or visual foundation for computer vision systems.