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.
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.