Enabling AI-driven health advances without sacrificing patient privacy
Secure AI Labs, founded by alumna Anne Kim and MIT Professor Manolis Kellis, anonymizes data for AI researchers.
Secure AI Labs, founded by alumna Anne Kim and MIT Professor Manolis Kellis, anonymizes data for AI researchers.
Researchers hope more user-friendly machine-learning systems will enable nonexperts to analyze big data — but can such systems ever be completely autonomous?
New research by political science PhD candidate Meicen Sun illuminates the broad economic and political impacts of internet restrictions.
MIT scientists show how fast algorithms are improving across a broad range of examples, demonstrating their critical importance in advancing computing.
Leonardo Bonanni MA ’03, SM ’05, PhD ’10 is founder and CEO of Sourcemap, an MIT Media Lab spinoff helping multinationals gain unprecedented insights into their supply chains.
New chip eliminates the need for specific decoding hardware, could boost efficiency of gaming systems, 5G networks, the internet of things, and more.
MIT researchers find a new way to quantify the uncertainty in molecular energies predicted by neural networks.
Analyzing California’s power system, MITEI researchers show that hydrogen-generated electricity is a cost-competitive candidate for backing up wind and solar.
“We have not played all our cards yet,” says the associate dean of engineering and co-founder of the Isolat modeling group.
MIT alumni-founded Amplitude offers tools to help companies respond to the ways users interact with their digital products.
Entrepreneurship class MAS.664 launches businesses with a global reach.
Probabilistic programming language allows for fast, error-free answers to hard AI problems, including fairness.
Using an untapped resource, the Malden River Project is boosting social resilience along with climate mitigation in the gateway city of Malden, Massachusetts.
New research using patent data could help inform decision-makers by predicting which technologies are improving the fastest.
MIT researchers use cell tower data to show that movement during Covid-19-related lockdowns declined the most in wealthier areas with more people.