Better email automation
CSAIL team studies what email users want for better automating email — and proposes "YouPS" filtering tool.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
3Q: Assessing MIT’s computing infrastructure needs
In planning for the MIT Schwarzman College of Computing, working group is exploring needs across all parts of the Institute.
Peter Shor wins 2018 Micius Quantum Prize
Shor awarded the $150,000 prize, named after a fifth-century B.C. Chinese scientist, for his groundbreaking theoretical work in the field of quantum computation.
Preparing high schoolers for a tech-driven future
MIT researchers joined Cambridge Rindge and Latin School students for a two-day event focused on future-ready skills.
Four from MIT elected to American Academy of Arts and Sciences for 2019
Prestigious honor society announces more than 200 new members.
Giving robots a better feel for object manipulation
Model improves a robot’s ability to mold materials into shapes and interact with liquids and solid objects.
Robots that can sort recycling
CSAIL’s "RoCycle" system uses in-hand sensors to detect if an object is paper, metal or plastic.
A novel data-compression technique for faster computer programs
Researchers free up more bandwidth by compressing “objects” within the memory hierarchy.
Five from MIT win 2019 Paul and Daisy Soros Fellowships for New Americans
Award funds graduate studies for talented immigrants and children of immigrants.
Driving toward success
Through MIT Professional Education’s Advanced Study Program, Ernie Ho found the tools — and the community — he needed to realize his vision and launch his career.
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.
Advance boosts efficiency of flash storage in data centers
New architecture promises to cut in half the energy and physical space required to store and manage user data.
Teaching machines to reason about what they see
Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.
Model learns how individual amino acids determine protein function
Technique could improve machine-learning tasks in protein design, drug testing, and other applications.
“Particle robot” works as a cluster of simple units
Loosely connected disc-shaped “particles” can push and pull one another, moving en masse to transport objects.