Fundamental equations guide marine robots to optimal sampling sites
New principled approach helps autonomous underwater vehicles explore the ocean in an intelligent, energy-efficient manner.
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.
Flying in shallow arcs helps birds stay aloft with less effort.
Research reveals the upwelling pathways and timescales of deep, overturning waters in the Southern Ocean.
Method may help predict hotspots of instability affecting climate, aircraft performance, and ocean circulation.
Simons Foundation supports enhanced computer infrastructure for MIT's Darwin Project, which focuses on marine microbes and microbial communities.
CSAIL’s InstantCAD allows manufacturers to simulate, optimize CAD designs in real-time.