Researchers develop virtual-reality testing ground for drones
With new system, drones navigate through an empty room, avoiding crashes while “seeing” a virtual world.
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With new system, drones navigate through an empty room, avoiding crashes while “seeing” a virtual world.
Model finds operating nuclear plants flexibly can reduce electricity costs, increase revenue for nuclear plants, and cut carbon emissions in electric power systems.
Automated data science tools developed by MIT and Feature Labs deliver their first AI product.
Theoretical study shows how to make wireless localization much more accurate.
A new automated machine-learning system performs as well or better than its human counterparts — and works 100 times faster.
Sixteen new professors join seven of the school’s departments.
Improved recommendation algorithm should work especially well when ratings data are “sparse.”
Workshop brings together academia and industry to explore how to prepare next-generation wireless for machine-to-machine communication.
Optimizing the design of electricity markets could make it easier to integrate renewable energy sources into the power grid.
Web-based system automatically evaluates proposals from far-flung data scientists.
Speakers from academia, industry, and government discuss the evolution of smart urban systems.
With support from the Toyota Research Institute, MIT faculty will focus on next-generation energy storage.
Coordinating smart appliances and electric cars may help balance supply and demand in the power grid.
A simple statistical trick could help make a ubiquitous model of decision processes more accurate.