Data systems that learn to be better
Storage tool developed at MIT CSAIL adapts to what its datasets’ users want to search.
Storage tool developed at MIT CSAIL adapts to what its datasets’ users want to search.
Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence.
Study finds quantum entanglement could, in principle, give a slight advantage in the game of blackjack.
Machine learning system from MIT CSAIL can look at chest X-rays to diagnose pneumonia — and also knows when to defer to a radiologist.
A team from MIT helped create an image retrieval system to find the closest matches of paintings from different artists and cultures.
New work on 2D and 3D meshing aims to address challenges with some of today’s state-of-the-art methods.
Robotic gripper with soft sensitive fingers developed at MIT can handle cables with unprecedented dexterity.
Music gesture artificial intelligence tool developed at the MIT-IBM Watson AI Lab uses body movements to isolate the sounds of individual instruments.
Researchers capture our shifting gaze in a model that suggests how to prioritize visual information based on viewing duration.
MIT CSAIL researchers say improving computing technology after Moore's Law will require more efficient software, new algorithms, and specialized hardware.
In a pair of papers from MIT CSAIL, two teams enable better sense and perception for soft robotic grippers.
Approach for generating numbers at random may help analyses of complex systems, from Earth’s climate to financial markets.
UROP students explore applications in robotics, health care, language understanding, and nuclear engineering.
Method may help quickly identify regions where objects — and missing people — may have converged.
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.