Want cheaper nuclear energy? Turn the design process into a game
Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.
Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.
In a new realm of materials, PhD student Thanh Nguyen uses neutrons to hunt for exotic properties that could power real-world applications.
New faculty in these areas will connect the MIT Schwarzman College of Computing and a department or school.
New Data and Society course engages students in the ethics and societal implications of data.
Qubits made from strontium and calcium ions can be precisely controlled by technology that already exists.
Two staff members from Lincoln Laboratory and a professor in the School of Engineering are recognized for their influential research.
A low-cost analog circuit based on synchronizing oscillators could scale up quickly and cheaply to beat out digital computers.
Award will support research for "A Counter History of Computing in India."
Study investigates capillary-induced deformations in cement’s porous structure.
"MAC50" symposium celebrates 50 years of computer science at MIT.
Since 2011, MIT community members have watched more than 238,000 video tutorials via lynda.mit.edu, which focuses on software training.
A new language lets coders reason about the trade-off between fidelity of execution and power or time savings in the computers of the future.
MIT Lincoln Laboratory's new supercomputing facility reduces energy impacts
An optical switch that can be turned on by a single photon could point toward new designs for both classical and quantum computers.
Professors recognized for their contributions to computer science