A universal system for decoding any type of data sent across a network
New chip eliminates the need for specific decoding hardware, could boost efficiency of gaming systems, 5G networks, the internet of things, and more.
Using adversarial attacks to refine molecular energy predictions
MIT researchers find a new way to quantify the uncertainty in molecular energies predicted by neural networks.
Making the case for hydrogen in a zero-carbon economy
Analyzing California’s power system, MITEI researchers show that hydrogen-generated electricity is a cost-competitive candidate for backing up wind and solar.
3 Questions: Peko Hosoi on the data-driven reasoning behind MIT’s Covid-19 policies for the fall
“We have not played all our cards yet,” says the associate dean of engineering and co-founder of the Isolat modeling group.
Helping companies optimize their websites and mobile apps
MIT alumni-founded Amplitude offers tools to help companies respond to the ways users interact with their digital products.
“AI for Impact” lives up to its name
Entrepreneurship class MAS.664 launches businesses with a global reach.
Exact symbolic artificial intelligence for faster, better assessment of AI fairness
Probabilistic programming language allows for fast, error-free answers to hard AI problems, including fairness.
Finding common ground in Malden
Using an untapped resource, the Malden River Project is boosting social resilience along with climate mitigation in the gateway city of Malden, Massachusetts.
A comprehensive study of technological change
New research using patent data could help inform decision-makers by predicting which technologies are improving the fastest.
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.
“To make even the smallest contribution to improving my country would be my dream”
Master’s student Pavarin Bhandtivej seeks to bring data to bear on policymaking in Thailand.
Lincoln Laboratory convenes top network scientists for Graph Exploitation Symposium
Researchers share progress applying network science to disinformation tracing, Covid-19 modeling, and machine learning.
Driving commuters toward sustainable options
How data from Access MIT informs flexible, sustainable commutes as staff returns to campus.
New directions in real estate practice
Professor Siqi Zheng promotes sustainable urbanization at MIT’s Center for Real Estate.
US Air Force pilots get an artificial intelligence assist with scheduling aircrews
An optimization tool from the Department of Air Force–MIT AI Accelerator is transforming the laborious process of staffing C-17 cargo flights.