By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.

Researchers create a curious machine-learning model that finds a wider variety of prompts for training a chatbot to avoid hateful or harmful output.

The low-cost hardware outperforms state-of-the-art versions and could someday enable an affordable, in-home device for health monitoring.

MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain.

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

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

Screen-reader users can upload a dataset and create customized data representations that combine visualization, textual description, and sonification.

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

Single-cell gene expression patterns in the brain, and evidence from follow-up experiments, reveal many shared cellular and molecular similarities that could be targeted for potential treatment.

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.