Brainstorming energy-saving hacks on Satori, MIT’s new supercomputer
Three-day hackathon explores methods for making artificial intelligence faster and more sustainable.
Three-day hackathon explores methods for making artificial intelligence faster and more sustainable.
MIT’s new system TextFooler can trick the types of natural-language-processing systems that Google uses to help power its search results, including audio for Google Home.
The first cohort of 22 students from 14 countries share a common ambition: harnessing data to help others.
External system improves phones’ signal strength 1,000 percent, without requiring extra antennas.
MIT sophomore Rachel Shen looks for microscopic solutions to big environmental challenges.
Deborah Hung shares research strategies to combat tuberculosis as part of the Department of Biology's IAP seminar series on microbes in health and disease.
Associate Professor Yury Polyanskiy is working to keep data flowing as the “internet of things” becomes a reality.
Machine-learning system should enable developers to improve computing efficiency in a range of applications.
As natural language processing techniques improve, suggestions are getting speedier and more relevant.
Using limited data, this automated system predicts a company’s quarterly sales.
Objects are posed in varied positions and shot at odd angles to spur new AI techniques.
Biologists uncover an evolutionary trick to control gene expression that reverses the flow of genetic information from RNA splicing back to transcription.
Initiative will support efforts to inform policy with scientific research.
Lam Research Tech Symposium, co-hosted by MIT.nano and Microsystems Technology Lab, explores challenges, opportunities for the future of the industry.
Modeling web traffic could aid cybersecurity, computing infrastructure design, Internet policy, and more.