Recognizing the partially seen
Advances in computer vision inspired by human physiological and anatomical constraints are improving pattern completion in machines.
Advances in computer vision inspired by human physiological and anatomical constraints are improving pattern completion in machines.
FinTech@CSAIL industry collaboration will work to improve business models, access to data, and security in the finance sector.
Through meticulous computations, nuclear science and engineering student Etienne Demarly simulates conditions inside a nuclear reactor.
Improved design may be used for exploring disaster zones and other dangerous or inaccessible environments.
Graduate student Tiziana Smith studies links between water availability and crop yields in the world’s most populous country.
New principled approach helps autonomous underwater vehicles explore the ocean in an intelligent, energy-efficient manner.
With new approach, researchers specify desired properties of a material, and a computer system generates a structure accordingly.
A new automated machine-learning system performs as well or better than its human counterparts — and works 100 times faster.
Results may help explain how humans do the same thing.
An MIT study projects the potential impact of climate change on large power transformers in U.S. Northeast.
Subnanometer-scale channels in 2-D materials could point toward future electronics, solar cells.
Study finds state’s annual risk of extreme rainfall will rise from 1 to 18 percent.
System for performing “tensor algebra” offers 100-fold speedups over previous software packages.
Web-based system automatically evaluates proposals from far-flung data scientists.
Ahrens, Rathbun, Silmore, and Wei are recognized for tackling complex science and engineering problems of national importance.