MIT community members elected to the National Academy of Engineering for 2023
Seven researchers, along with 14 additional MIT alumni, are honored for significant contributions to engineering research, practice, and education.
Seven researchers, along with 14 additional MIT alumni, are honored for significant contributions to engineering research, practice, and education.
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.
MIT spinout Verta offers tools to help companies introduce, monitor, and manage machine-learning models safely and at scale.
“Squeezing” noise over a broad frequency bandwidth in a quantum system could lead to faster and more accurate quantum measurements.
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.
A new tool brings the benefits of AI programming to a much broader class of problems.
Growing from a strong foundation built at MIT CSAIL and other academic hosts, W3C will continue its mission of developing standards for an open and equitable web.
Six distinguished scientists with ties to MIT were recognized for significant contributions to computing systems.
When she’s not analyzing data about her favorite biomolecule, senior Sherry Nyeo focuses on improving the undergraduate experience at MIT.
Passionate about creating educational opportunities in India, PhD student Siddhartha Jayanti recently explored multiprocessor speed limits, in a paper written in the Indian language Telugu.
A new measure can help scientists decide which estimation method to use when modeling a particular data problem.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes.
Fadel Adib uses wireless technologies to sense the world in new ways, taking aim at sweeping problems such as food insecurity, climate change, and access to health care.
Computer scientists want to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.