New computational tool predicts cell fates and genetic perturbations
The technique can help predict a cell’s path over time, such as what type of cell it will become.
How quickly do algorithms improve?
MIT scientists show how fast algorithms are improving across a broad range of examples, demonstrating their critical importance in advancing computing.
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.
Cracking the secrets of an emerging branch of physics
In a new realm of materials, PhD student Thanh Nguyen uses neutrons to hunt for exotic properties that could power real-world applications.
Six strategic areas identified for shared faculty hiring in computing
New faculty in these areas will connect the MIT Schwarzman College of Computing and a department or school.
The social life of data
New Data and Society course engages students in the ethics and societal implications of data.
A trapped-ion pair may help scale up quantum computers
Qubits made from strontium and calcium ions can be precisely controlled by technology that already exists.
Three from MIT are named 2020 fellows of the IEEE
Two staff members from Lincoln Laboratory and a professor in the School of Engineering are recognized for their influential research.
Nature can help solve optimization problems
A low-cost analog circuit based on synchronizing oscillators could scale up quickly and cheaply to beat out digital computers.
Dwaipayan Banerjee receives 2019 Levitan Prize in the Humanities
Award will support research for "A Counter History of Computing in India."
Exploring the effects of moisture and drying on cement
Study investigates capillary-induced deformations in cement’s porous structure.
CSAIL convenes leading thinkers to discuss future of computing
"MAC50" symposium celebrates 50 years of computer science at MIT.
MIT community making the most of lynda.com's online training
Since 2011, MIT community members have watched more than 238,000 video tutorials via lynda.mit.edu, which focuses on software training.
How to program unreliable chips
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.
Green computing is super
MIT Lincoln Laboratory's new supercomputing facility reduces energy impacts