Seeking new physics, scientists borrow from social networks
Technique can spot anomalous particle smashups that may point to phenomena beyond the Standard Model.
Technique can spot anomalous particle smashups that may point to phenomena beyond the Standard Model.
Study finds online restaurant information can closely predict key neighborhood indicators, in lieu of other data.
Open access journal to promote the latest research, educational resources, and commentary from leading minds in data science.
At MIT, Luis Videgaray, alumnus and former foreign minister of Mexico, will launch project to help shape international AI policies.
L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.
System lets nonspecialists use machine-learning models to make predictions for medical research, sales, and more.
General-purpose language works for computer vision, robotics, statistics, and more.
MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.
Program creates a new hub for pedagogy and research in time-based media.
Simulations suggest photonic chip could run optical neural networks 10 million times more efficiently than its electrical counterparts.
Interactive tool lets users see and control how automated model searches work.
Research from the Institute for Data, Systems, and Society aims to help African farmers increase their production and profits with better prediction.
Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.
Working group studies options for creating a new set of faculty hires for MIT’s new college.
Interdisciplinary teams propose creative policy solutions addressing societal challenges at the Institute for Data, Systems, and Society student-organized event.