Nine from MIT named 2023 Sloan Research Fellows
Annual award honors early-career researchers for creativity, innovation, and research accomplishments.
Democratizing education: Bringing MIT excellence to the masses
The MicroMasters Program in Statistics and Data Science, with over 1,000 credential holders, brings MIT excellence to learners around the world.
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.
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.
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.
Automating the math for decision-making under uncertainty
A new tool brings the benefits of AI programming to a much broader class of problems.
World Wide Web Consortium is now a public-interest nonprofit organization
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 with ties to MIT honored as 2022 ACM Fellows
Six distinguished scientists with ties to MIT were recognized for significant contributions to computing systems.
Paying it forward
When she’s not analyzing data about her favorite biomolecule, senior Sherry Nyeo focuses on improving the undergraduate experience at MIT.
Making computer science research more accessible in India
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.
When should data scientists try a new technique?
A new measure can help scientists decide which estimation method to use when modeling a particular data problem.
Sensing with purpose
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.
Putting clear bounds on uncertainty
Computer scientists want to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.
Research, education, and connection in the face of war
“I wouldn’t let the aggressor in the war squash my dreams,” says Ukrainian mathematician and MITx MicroMasters learner Tetiana Herasymova.
MIT researchers develop an AI model that can detect future lung cancer risk
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.