Can your phone tell if a bridge is in good shape?
A new study suggests mobile data collected while traveling over bridges could help evaluate their integrity.
Learning on the edge
A new technique enables AI models to continually learn from new data on intelligent edge devices like smartphones and sensors, reducing energy costs and privacy risks.
“Kids are people too!”
Throughout his career, Professor Hal Abelson has worked to make information technology more accessible to people of all ages.
Collaborative machine learning that preserves privacy
Researchers increase the accuracy and efficiency of a machine-learning method that safeguards user data.
Stronger security for smart devices
Researchers demonstrate two security methods that efficiently protect analog-to-digital converters from powerful attacks that aim to steal user data.
MIT OpenCourseWare launches NextGen platform
New site offers mobile-responsive, search-optimized experience to a growing global audience of learners.
Toward a stronger defense of personal data
Engineers build a lower-energy chip that can prevent hackers from extracting hidden information from a smart device.
3 Questions: What a single car can say about traffic
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.
Invisible machine-readable labels that identify and track objects
An MIT team develops 3D-printed tags to classify and store data on physical objects.
MIT ID cards go digital
The MIT Mobile ID offers the same functionality a physical ID card does on campus, via an iOS or Android device.
Data flow’s decisive role on the global stage
New research by political science PhD candidate Meicen Sun illuminates the broad economic and political impacts of internet restrictions.
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.
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.