A new programming language for high-performance computers
With a tensor language prototype, “speed and correctness do not have to compete ... they can go together, hand-in-hand.”
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With a tensor language prototype, “speed and correctness do not have to compete ... they can go together, hand-in-hand.”
Assistant Professor Marzyeh Ghassemi explores how hidden biases in medical data could compromise artificial intelligence approaches.
New fellows are working on electronic health record algorithms, remote sensing data related to environmental health, and neural networks for the development of antibiotics.
The machine-learning model could help scientists speed the development of new medicines.
MIT Energy Initiative edX course asks students to rethink how we operate power systems.
An MIT team develops 3D-printed tags to classify and store data on physical objects.
Using ultrathin materials to reduce the size of superconducting qubits may pave the way for personal-sized quantum devices.
A new method automatically describes, in natural language, what the individual components of a neural network do.
Twist is an MIT-developed programming language that can describe and verify which pieces of data are entangled to prevent bugs in a quantum program.
Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.
Senior Ibuki Iwasaki seeks creative ways to design technology that considers the human user.
MIT computer scientists and mathematicians offer an introductory computing and career-readiness program for incarcerated women in New England.
Researchers have created a method to help workers collaborate with artificial intelligence systems.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes.
Undergraduate classes provide hands-on introduction to nanotechnology and nanoengineering at MIT.nano.