Computer Sciences

Bringing human-like reasoning to driverless car navigation

With aims of bringing more human-like reasoning to autonomous vehicles, MIT researchers have created a system that uses only simple maps and visual data to enable driverless cars to navigate routes in new, complex environments.

Machine learning & AI

Cracking open the black box of automated machine learning

Researchers from MIT and elsewhere have developed an interactive tool that, for the first time, lets users see and control how automated machine-learning systems work. The aim is to build confidence in these systems and find ...

Computer Sciences

Algorithms predict sports teams' moves with 80% accuracy

Algorithms developed in Cornell's Laboratory for Intelligent Systems and Controls can predict the in-game actions of volleyball players with more than 80% accuracy, and now the lab is collaborating with the Big Red hockey ...

page 1 from 3