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Electrical engineering and computer science (EECS)

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Lead author Joseph DelPreto demonstrates the system's ability to mirror his movements by monitoring muscle activity.

This robot helps you lift objects — by looking at your biceps

CSAIL system can mirror a user's motions and follow nonverbal commands by monitoring arm muscles.

May 22, 2019

Killian Court

J-Clinic names 18 grant recipients from across Institute

Projects will develop new AI technologies that detect and prevent diseases.

May 1, 2019

CSAIL PhD student Soya Park is lead author on the YouPS project.

Better email automation

CSAIL team studies what email users want for better automating email — and proposes "YouPS" filtering tool.

April 29, 2019

Improving security as artificial intelligence moves to smartphones

Researchers unveil a tool for making compressed deep learning models less vulnerable to attack.

April 23, 2019

RoCycle can detect if an object is paper, metal, or plastic. CSAIL researchers say that such a system could potentially help enable the convenience of single-stream recycling with lower contamination rates that confirm to China's new recycling standards.

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

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

Visitors wear virtual reality headsets in the MIT.nano Immersion Lab.

The power of play

Video game developer NCSOFT joins with MIT.nano to apply the language of gaming to technology research and education.

April 3, 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

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

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

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

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

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

In her keynote address, "Computing Is for Everyone," Harvey Mudd College President Maria Klawe emphasized the importance of attracting more women and underrepresented minorities to computer science and engineering.

Innovating at the speed of light

Symposium speakers describe how colleges must meet the challenges of a rapidly emerging environment in which "computing is for everyone."

March 4, 2019

MIT researchers have developed a novel chip that can compute complex quantum-proof encryption schemes efficiently enough to protect low-power “internet of things” (IoT) devices.

Securing the “internet of things” in the quantum age

Efficient chip enables low-power devices to run today’s toughest quantum encryption schemes.

March 1, 2019

Aleksander Madry is a leader in the emerging field of building guarantees into artificial intelligence, which has nearly become a branch of machine learning in its own right.

3Q: Aleksander Madry on building trustworthy artificial intelligence

A recent MIT symposium explores methods for making artificial intelligence systems more reliable, secure, and transparent.

December 14, 2018