Exploring the mysterious alphabet of sperm whales
MIT CSAIL and Project CETI researchers reveal complex communication patterns in sperm whales, deepening our understanding of animal language systems.
MIT CSAIL and Project CETI researchers reveal complex communication patterns in sperm whales, deepening our understanding of animal language systems.
MICRO internship program expands, brings undergraduate interns from other schools to campus.
TorNet, a public artificial intelligence dataset, could help models reveal when and why tornadoes form, improving forecasters' ability to issue warnings.
Researchers have developed a security solution for power-hungry AI models that offers protection against two common attacks.
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.
MIT Sea Grant students apply machine learning to support local aquaculture hatcheries.
Graduate student Hammaad Adam is working to increase the supply of organs available for transplants, saving lives and improving health equity.
Immunai’s founders were researchers at MIT when they launched their company to help predict how patients will respond to new treatments.
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.
Doctoral student and recent MAD Design Fellow Jonathan Zong SM ’20 discusses a proposed framework to map how individuals can say “no” to technology misuses.
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.
Lightmatter, founded by three MIT alumni, is using photonic computing to reinvent how chips communicate and calculate.