Machine learning moves popular data elements into a bucket of their own
Counting search queries isn’t easy, but MIT CSAIL’s new LearnedSketch system for “frequency-estimation” aims to help.
Counting search queries isn’t easy, but MIT CSAIL’s new LearnedSketch system for “frequency-estimation” aims to help.
New architecture promises to cut in half the energy and physical space required to store and manage user data.
Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.
At this year's MacVicar Day symposium, faculty and students reflect on the challenges and joys of education in the 21st century.
MIT Professor David Pesetsky describes the science of language and how it sheds light on deep properties of the human mind.
“Hybrid” cathodes could provide more power for a given weight and volume.
Technique could improve machine-learning tasks in protein design, drug testing, and other applications.
Sensor can monitor wiring in a building or ship, and signal when repairs are needed.
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.
Loosely connected disc-shaped “particles” can push and pull one another, moving en masse to transport objects.
MIT Institute for Data, Systems, and Society co-hosted WiDS Cambridge, a daylong conference connecting data scientists across academia and industry.
Master’s student and Marshall Scholar Kyle Swanson uses computer science to help make drug development more efficient.
The MIT community is invited to comment on ways to increase sharing of research, data, software, and more.
CSAIL researcher and web inventor recognized for his startup inrupt, which aims to give users more control over their data.
Faculty representing all five MIT schools offer views on the ethical and societal implications of new technologies.