Lincoln Laboratory researchers are using AI to get a better picture of the atmospheric layer closest to Earth's surface. Their techniques could improve weather and drought prediction.

The advance could help make 3D printing more sustainable, enabling printing with renewable or recyclable materials that are difficult to characterize.

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

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.

Software allows scientists to model shapeshifting proteins in native cellular environments.

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

An easy-to-use technique could assist everyone from economists to sports analysts.

Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.

Collaborative brings together charter school policy, practice, and research communities to help make research on charters more actionable, rigorous, and policy-relevant.

MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.