A new chip for decoding data transmissions demonstrates record-breaking energy efficiency
The chip, which can decipher any encoded signal, could enable lower-cost devices that perform better while requiring less hardware.
Study: Carbon-neutral pavements are possible by 2050, but rapid policy and industry action are needed
Analyses show stakeholders of all levels must get involved in decarbonizing pavements to reach climate goals.
New chip for mobile devices knocks out unwanted signals
The receiver chip efficiently blocks signal interference that slows device performance and drains batteries.
A new way for quantum computing systems to keep their cool
A wireless technique enables a super-cold quantum computer to send and receive data without generating too much error-causing heat.
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.
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.
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.
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.
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.
Gaining real-world industry experience through Break Through Tech AI at MIT
A new experiential learning opportunity challenges undergraduates across the Greater Boston area to apply their AI skills to a range of industry projects.
Q&A: A fresh look at data science
MIT Visiting Scholar Alfred Spector discusses the power of data science and visualization, as well as his new textbook on the subject.
Unpacking the “black box” to build better AI models
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.
Subtle biases in AI can influence emergency decisions
But the harm from a discriminatory AI system can be minimized if the advice it delivers is properly framed, an MIT team has shown.