Topic
Computer Science and Artificial Intelligence Laboratory (CSAIL)
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Using AI to predict breast cancer and personalize care
MIT/MGH's image-based deep learning model can predict breast cancer up to five years in advance.
May 7, 2019 -
Smarter training of neural networks
MIT CSAIL project shows the neural nets we typically train contain smaller “subnetworks” that can learn just as well, and often faster.
May 6, 2019 -
Merging cell datasets, panorama style
Algorithm stitches multiple datasets into a single “panorama,” which could provide new insights for medical and biological studies.
May 6, 2019 -
New approach could accelerate efforts to catalog vast numbers of cells
Data-sampling method makes “sketches” of unwieldy biological datasets while still capturing the full diversity of cell types.
May 2, 2019 -
A comprehensive map of how Alzheimer’s affects the brain
Analysis of genes altered by the disease could provide targets for new treatments.
May 1, 2019 -
Better email automation
CSAIL team studies what email users want for better automating email — and proposes "YouPS" filtering tool.
April 29, 2019 -
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.
April 28, 2019 -
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.
April 19, 2019 -
Four from MIT elected to American Academy of Arts and Sciences for 2019
Prestigious honor society announces more than 200 new members.
April 17, 2019 -
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.
April 16, 2019 -
Robots that can sort recycling
CSAIL’s "RoCycle" system uses in-hand sensors to detect if an object is paper, metal or plastic.
April 16, 2019 -
A novel data-compression technique for faster computer programs
Researchers free up more bandwidth by compressing “objects” within the memory hierarchy.
April 16, 2019 -
Five from MIT win 2019 Paul and Daisy Soros Fellowships for New Americans
Award funds graduate studies for talented immigrants and children of immigrants.
April 11, 2019 -
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.
April 5, 2019 -
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.
April 3, 2019 -
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.
April 2, 2019 -
Teaching machines to reason about what they see
Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.
April 2, 2019 -
Model learns how individual amino acids determine protein function
Technique could improve machine-learning tasks in protein design, drug testing, and other applications.
March 22, 2019 -
“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.
March 20, 2019 -
Using machine learning for medical solutions
Master’s student and Marshall Scholar Kyle Swanson uses computer science to help make drug development more efficient.
March 19, 2019