Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.

Open-source software by MIT MAD Fellow Jonathan Zong and others in the MIT Visualization Group reveals online graphics’ embedded data in the user’s preferred degree of granularity.

By analyzing epigenomic and gene expression changes that occur in Alzheimer’s disease, researchers identify cellular pathways that could become new drug targets.

“PhotoGuard,” developed by MIT CSAIL researchers, prevents unauthorized image manipulation, safeguarding authenticity in the era of advanced generative models.

Using insights into how people intuit others’ emotions, researchers have designed a model that approximates this aspect of human social intelligence.

PhD candidate Jonathan Zong found a lack of systems that earn and maintain public trust in large-scale online research — so he made one himself.

A new technique boosts models’ ability to reduce bias, even if the dataset used to train the model is unbalanced.

Researchers have created a method to help workers collaborate with artificial intelligence systems.

Researchers develop a way to test whether popular methods for understanding machine-learning models are working correctly.