MIT chemists found a way to identify a complex sugar molecule in the cell walls of Mycobacterium tuberculosis, the world’s deadliest pathogen.

Informal help is a huge share of elder care in U.S., a burden that is only set to expand. A new book explores different countries’ solutions.

“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.

MAD Fellow Alexander Htet Kyaw connects humans, machines, and the physical world using AI and augmented reality.

Associate Professor Canan Dagdeviren discusses her work developing a wearable ultrasound scanner that can be used for early breast cancer detection, with the goal of empowering “women to monitor their own bodies, on their own time and in the comfort of their own home.” Dagdeviren explains that “our hope [is to] collect a lot of data and use AI to predict what will happen to breast tissue over time.”