Smart handling of neutrons is crucial to fusion power success
Assistant Professor Ethan Peterson is addressing some of the practical, overlooked issues that need to be worked out for viable fusion power plants.
Search Stories
A new approach to fine-tuning quantum materials
An MIT-led group shows how to achieve precise control over the properties of Weyl semimetals and other exotic substances.
How symmetry can come to the aid of machine learning
Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.
Boosting faith in the authenticity of open source software
Speranza system brings hope to users that the package they download is functional software, not malware.
Rafael Mariano Grossi speaks about nuclear power’s role at a critical moment in history
At MIT, the head of the International Atomic Energy Agency addresses the world’s urgent energy and environmental challenges.
A new way to integrate data with physical objects
StructCode, developed by MIT CSAIL researchers, encodes machine-readable data in laser-cut objects by modifying their fabrication features.
How machine-learning models can amplify inequities in medical diagnosis and treatment
MIT researchers investigate the causes of health care disparities among underrepresented groups.
The chore of packing just got faster and easier
A new computational method facilitates the dense placement of objects inside a rigid container.
An easier way to get bugs out of programming languages
Developed at MIT, D2X is a new tool that makes it easy to debug any domain-specific programming language.
Creating a versatile vaccine to take on Covid-19 in its many guises
Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-CoV-2 strains.
Putting clear bounds on uncertainty
Computer scientists want to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.
This is your brain. This is your brain on code
MIT researchers are discovering which parts of the brain are engaged when a person evaluates a computer program.
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.
The task of magnetic classification suddenly looks easier
MIT undergraduate researchers Helena Merker, Harry Heiberger, and Linh Nguyen, and PhD student Tongtong Liu, exploit machine-learning techniques to determine the magnetic structure of materials.
A new twist on old-school animation
MIT researchers create KineCAM, an instant camera that yields images that appear to move.