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Computer Science and Artificial Intelligence Laboratory (CSAIL)

A novel technique developed by MIT researchers compresses “objects” in memory for the first time, freeing up more memory used by computers, allowing them to run faster and perform more tasks simultaneously.

A novel data-compression technique for faster computer programs

Researchers free up more bandwidth by compressing “objects” within the memory hierarchy.

April 16, 2019

Clockwise from top left: Jonathan Zong, Indira Puri, Grace Zhang, Helen Zhou and Joseph Maalouf

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

“Before I came to MIT, I would build something, and no one would challenge it,” Ernie Ho says. “Now I have a network of people who push me to be better by asking me ‘Why do you want to build that?’ or ‘Why not build it another way?’”

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

cluster of multicolored numbers

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

MIT researchers’ modified flash storage drives hold promise to cut in half the energy and physical space required to store and manage user data in power-hungry data centers.

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

$Researchers trained a hybrid AI model to answer questions like “Does the red object left of the green cube have the same shape as the purple matte thing?” by feeding it examples of object colors and shapes followed by more complex scenarios involving multi-object comparisons. The model could transfer this knowledge to new scenarios as well as or better than state-of-the-art models using a frac...$

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

A new model developed by MIT researchers creates richer, more easily computable representations of how individual amino acids determine a protein’s function, which could be used for designing and testing new proteins.

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

Researchers have developed computationally simple robots, called particles, that cluster and form a single “particle robot” that moves around, transports objects, and completes other tasks. The work hails from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), Columbia University, and elsewhere.

“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

Kyle Swanson

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

The Ad Hoc Task Force on Open Access to MIT’s Research is seeking community input on ways to support and increase the open sharing of MIT publications, data, software, and educational materials.

Open access task force releases draft recommendations

The MIT community is invited to comment on ways to increase sharing of research, data, software, and more.

March 18, 2019

MIT Professor Tim Berners-Lee is being honored for work on a new startup, inrupt, aimed at "re-decentralizing the web."

Tim Berners-Lee named FT “Boldness in Business” Person of the Year

CSAIL researcher and web inventor recognized for his startup inrupt, which aims to give users more control over their data.

March 18, 2019

Illustration-four-hands-around-computer-chip

Ethics, computing, and AI: Perspectives from MIT

Faculty representing all five MIT schools offer views on the ethical and societal implications of new technologies.

March 18, 2019

For the second year, the Independent Activities Period course was coordinated by Alexander Amini ‘17 and Ava Soleimany ’16.

Exercises in amazement: Discovering deep learning

A popular student-coordinated class draws a capacity crowd from across the MIT campus and beyond.

March 15, 2019

The origami gripper can lift a wide range of objects, from apples and soup cans to wine glasses and drones.

Robot hand is soft and strong

Gripper device inspired by “origami magic ball” can grasp wide array of delicate and heavy objects.

March 15, 2019

MIT A.M. Turing Award winners discuss MIT's new College of Computing: (l-r) Sir Tim Berners-Lee, Shafi Goldwasser, Butler Lampson, Barbara Liskov, Ronald Rivest, Michael Stonebraker, and Daniela Rus.

Computing the future

Fireside chat brings together six Turing Award winners to reflect on their field and the MIT Stephen A. Schwarzman College of Computing.

March 5, 2019