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.
The MicroMasters Program in Statistics and Data Science, with over 1,000 credential holders, brings MIT excellence to learners around the world.
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.
The chatbot’s success on the medical licensing exam shows that the test — and medical education — are flawed, Celi says.
A new measure can help scientists decide which estimation method to use when modeling a particular data problem.
Computer scientists want to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.
“I wouldn’t let the aggressor in the war squash my dreams,” says Ukrainian mathematician and MITx MicroMasters learner Tetiana Herasymova.
A new experiential learning opportunity challenges undergraduates across the Greater Boston area to apply their AI skills to a range of industry projects.
MIT Visiting Scholar Alfred Spector discusses the power of data science and visualization, as well as his new textbook on the subject.
Stefanie Jegelka seeks to understand how machine-learning models behave, to help researchers build more robust models for applications in biology, computer vision, optimization, and more.
But the harm from a discriminatory AI system can be minimized if the advice it delivers is properly framed, an MIT team has shown.
This year's fellows will work across research areas including telemonitoring, human-computer interactions, operations research, AI-mediated socialization, and chemical transformations.
New research enables users to search for information without revealing their queries, based on a method that is 30 times faster than comparable prior techniques.
Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.
Lincoln Laboratory’s TeraByte InfraRed Delivery system sent data from a satellite to Earth at 100 Gbps — a rate that will transform future science missions.