Collaborative machine learning that preserves privacy
Researchers increase the accuracy and efficiency of a machine-learning method that safeguards user data.
Researchers increase the accuracy and efficiency of a machine-learning method that safeguards user data.
Researchers demonstrate two security methods that efficiently protect analog-to-digital converters from powerful attacks that aim to steal user data.
New site offers mobile-responsive, search-optimized experience to a growing global audience of learners.
Engineers build a lower-energy chip that can prevent hackers from extracting hidden information from a smart device.
Measuring traffic properties requires vast amounts of data. Meshkat Botshekan, a PhD student working with the MIT CSHub, is discovering a more efficient and affordable physics-inspired alternative.
An MIT team develops 3D-printed tags to classify and store data on physical objects.
The MIT Mobile ID offers the same functionality a physical ID card does on campus, via an iOS or Android device.
New research by political science PhD candidate Meicen Sun illuminates the broad economic and political impacts of internet restrictions.
MIT alumni-founded Amplitude offers tools to help companies respond to the ways users interact with their digital products.
MIT researchers use cell tower data to show that movement during Covid-19-related lockdowns declined the most in wealthier areas with more people.
Research finds Covid-19-related lockdowns led to a marked reduction in walking in lower-income areas of major metropolises.
Her research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications.
The advance could cut production costs and reduce the size of microelectronics for sensing and communication.
DUSP alumni Rushil Palavajjhala and Jacob Kohn empower vulnerable workers using social entrepreneurial and technical skills gained at MIT.
Researchers unveil a pruning algorithm to make artificial intelligence applications run faster.