MIT robot combines vision and touch to learn the game of Jenga
Machine-learning approach could help robots assemble cellphones and other small parts in a manufacturing line.
Learning to teach to speed up learning
An algorithm that teaches robot agents how to exchange advice to complete a task helps them learn faster.
Democratizing artificial intelligence in health care
Hackathons promote doctor-data scientist collaboration and expanded access to electronic medical-records to improve patient care.
MIT adds computational Earth, atmospheric, and planetary sciences to its PhD offerings
New EAPS thesis field is the most recent to join the computational science and engineering doctoral program within the Center for Computational Engineering.
Stamp of approval
MIT’s Mark Vogelsberger and the Illustris project are honored by Germany's postal service with an official stamp.
Juan Ruiz Ruiz: The heat of the matter
PhD candidate seeks to discover how heat leaks from fusion plasmas.
Recognizing the partially seen
Advances in computer vision inspired by human physiological and anatomical constraints are improving pattern completion in machines.
CSAIL launches new initiative for financial technology
FinTech@CSAIL industry collaboration will work to improve business models, access to data, and security in the finance sector.
Etienne Demarly: Mastering fluid flow and bubble boil
Through meticulous computations, nuclear science and engineering student Etienne Demarly simulates conditions inside a nuclear reactor.
“Blind” Cheetah 3 robot can climb stairs littered with obstacles
Improved design may be used for exploring disaster zones and other dangerous or inaccessible environments.
How many people can China feed?
Graduate student Tiziana Smith studies links between water availability and crop yields in the world’s most populous country.
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.
Automating materials design
With new approach, researchers specify desired properties of a material, and a computer system generates a structure accordingly.
Auto-tuning data science: New research streamlines machine learning
A new automated machine-learning system performs as well or better than its human counterparts — and works 100 times faster.
Computer systems predict objects’ responses to physical forces
Results may help explain how humans do the same thing.