Ingestible sensor could help doctors pinpoint GI difficulties
The sensor sends out its location as it moves through the GI tract, revealing where slowdowns in digestion may occur.
Efficient technique improves machine-learning models’ reliability
The method enables a model to determine its confidence in a prediction, while using no additional data and far fewer computing resources than other methods.
Learning challenges shape a mechanical engineer’s path
Recent alumnus James Hermus wants to help others overcome obstacles imposed by disabilities.
Helping companies deploy AI models more responsibly
MIT spinout Verta offers tools to help companies introduce, monitor, and manage machine-learning models safely and at scale.
3 Questions: Leo Anthony Celi on ChatGPT and medicine
The chatbot’s success on the medical licensing exam shows that the test — and medical education — are flawed, Celi says.
Scientists boost quantum signals while reducing noise
“Squeezing” noise over a broad frequency bandwidth in a quantum system could lead to faster and more accurate quantum measurements.
A traveler on bioengineering’s many paths
Immunology research, public health service, and student leadership are all part of senior Julian Zulueta’s journey toward becoming a physician-scientist.
Inside two MIT students’ historic BattleBots runs
PhD students Lucy Du ’14, SM ’16 and Ginger Schmidt are crushing the competition — and gender barriers — in the world of televised robot combat.
Building bridges to Ukraine through language, art, and community
New IAP course opens doors to language learning, as well as cultural education and war relief.
Solving a machine-learning mystery
A new study shows how large language models like GPT-3 can learn a new task from just a few examples, without the need for any new training data.