Study finds lockdowns effective at reducing travel in Sierra Leone
MIT researchers use cell tower data to show that movement during Covid-19-related lockdowns declined the most in wealthier areas with more people.
Lockdowns reveal inequities in opportunities for walking activities
Research finds Covid-19-related lockdowns led to a marked reduction in walking in lower-income areas of major metropolises.
Q&A: Vivienne Sze on crossing the hardware-software divide for efficient artificial intelligence
Her research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications.
An LED that can be integrated directly into computer chips
The advance could cut production costs and reduce the size of microelectronics for sensing and communication.
3 Questions: Enabling informed migration in India
DUSP alumni Rushil Palavajjhala and Jacob Kohn empower vulnerable workers using social entrepreneurial and technical skills gained at MIT.
A foolproof way to shrink deep learning models
Researchers unveil a pruning algorithm to make artificial intelligence applications run faster.
Reducing delays in wireless networks
Congestion control system could help streaming video, mobile games, and other applications run more smoothly.
A smart surface for smart devices
External system improves phones’ signal strength 1,000 percent, without requiring extra antennas.
Sending clearer signals
Associate Professor Yury Polyanskiy is working to keep data flowing as the “internet of things” becomes a reality.
System helps smart devices find their position
Connected devices can now share position information, even in noisy, GPS-denied areas.
How cities can leverage citizen data while protecting privacy
Study offers models for preserving the privacy of citizens while using their data to improve government services.
A platform for Africa’s mobile innovators
Africa’s Talking gives entrepreneurs on the continent an easy way to add voice- and text-based functions to their solutions.
Smarter training of neural networks
MIT CSAIL project shows the neural nets we typically train contain smaller “subnetworks” that can learn just as well, and often faster.
Apptimize helps companies create seamless digital experiences
After a personal loss led to a new perspective, Nancy Hua ’07 left a career in finance to start the company.
Kicking neural network design automation into high gear
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.