Electrical engineering and computer science (EECS)

MIT researchers have developed a “risk-aware” model that could improve the performance of cloud-computing networks across the U.S.

Using Wall Street secrets to reduce the cost of cloud infrastructure

“Risk-aware” traffic engineering could help service providers such as Microsoft, Amazon, and Google better utilize network infrastructure.

August 18, 2019

The MIT-TU Delft autonomous race car completed 9.9 laps with a minimum speed of 4 meters per second at the 2019 Formula Student Germany (FSG) competition.

MIT-Delft University of Technology team places third in Formula Student Germany driverless competition

Teams were scored on speed, construction, performance, and financial planning at one of the world’s largest student engineering competitions.

August 16, 2019

Researchers at MIT demonstrated gloves fabricated by a system for automating knitted garments.

Computer-aided knitting

New research from the Computer Science and Artificial Intelligence Laboratory uses machine learning to customize clothing designs.

August 6, 2019

A new MIT-developed model automates a critical step in using AI for medical decision making, where experts usually identify important features in massive patient datasets by hand. The model was able to automatically identify voicing patterns of people with vocal cord nodules (shown here) and, in turn, use those features to predict which people do and don’t have the disorder.

Automating artificial intelligence for medical decision-making

Model replaces the laborious process of annotating massive patient datasets by hand.

August 5, 2019

A model developed at MIT predicts the cognitive decline of patients at risk for Alzheimer’s disease by forecasting their cognition test scores up to two years in the future, which could help zero in on the right patients to select for clinical trials.

Model predicts cognitive decline due to Alzheimer’s, up to two years out

Researchers hope the system can zero in on the right patients to enroll in clinical trials, to speed discovery of drug treatments.

August 1, 2019

MIT graduate students Logan Engstrom (left) and Andrew Ilyas have published five papers together exploring the vulnerabilities of computer vision systems, and they have half a dozen more in the pipeline.

Why did my classifier just mistake a turtle for a rifle?

Two longtime friends explore how computer vision systems go awry.

July 31, 2019

Jaume Plensa sculpture, "The Alchemist" on MIT's campus

School of Engineering second quarter 2019 awards

Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the past quarter.

July 30, 2019

A course called Machine Learning for Healthcare introduces students to the technical and ethical challenges of using automated tools to diagnose and treat patients.

Want to know what software-driven health care looks like? This class offers some clues.

A course that combines machine learning and health care explores the promise of applying artificial intelligence to medicine.

July 24, 2019

An MIT-invented microfluidics device could help doctors diagnose sepsis, a leading cause of death in U.S. hospitals, by automatically detecting elevated levels of a sepsis biomarker in about 25 minutes, using less than a finger prick of blood.

Microfluidics device helps diagnose sepsis in minutes

When time matters in hospitals, automated system can detect an early biomarker for the potentially life-threatening condition.

July 23, 2019

Prime Minister Mark Rutte of the Netherlands, second from right, front, along with a large Dutch delegation, visits MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Ray and Maria Stata Center on July 19. MIT Professor Frans Kaashoek of CSAIL is second from the left.

Prime Minister Mark Rutte of the Netherlands tours MIT

Dutch delegation visits the Institute for a tour focused on computing, robotics, and health care innovation.

July 21, 2019

“I hope to save a lot of people a lot of time doing boring, repetitive work by automating programming work as well as decreasing the cost of building secure, reliable systems,” says Associate Professor Adam Chlipala.

Making it easier to program and protect the web

Professor Adam Chlipala builds tools to help programmers more quickly generate optimized, secure code.

July 20, 2019

A devoted teacher and cherished colleague, Patrick Winston led CSAIL’s Genesis Group, which focused on developing AI systems that have human-like intelligence, including the ability to tell, perceive, and comprehend stories.

Professor Patrick Winston, former director of MIT’s Artificial Intelligence Laboratory, dies at 76

Beloved professor conducted pioneering research on imbuing machines with human-like intelligence, including the ability to understand stories.

July 19, 2019

Fernando "Corby" Corbató led the development of early “time-sharing” operating systems, including Multics and the Compatible Time-Sharing System (CTSS).

Professor Emeritus Fernando Corbató, MIT computing pioneer, dies at 93

Longtime MIT professor developed early “time-sharing” operating systems and is widely credited as the creator of the world’s first computer password.

July 15, 2019

A new MIT-invented system automatically designs and 3-D prints complex robotic actuators optimized according to an enormous number of specifications, such as appearance and flexibility. To demonstrate the system, the researchers fabricated floating water lilies with petals equipped with arrays of actuators and hinges that fold up in response to magnetic fields run through conductive fluids.

Automated system generates robotic parts for novel tasks

When designing actuators involves too many variables for humans to test by hand, this system can step in.

July 12, 2019

MIT Associate Professor Jennifer Rupp stands in front of a pulsed laser deposition chamber, in which her team developed a new lithium garnet electrolyte material with the fastest reported ionic conductivity of its type. The technique produces a thin film about 330 nanometers thick. “Having the lithium electrolyte as a solid-state very fast conductor allows you to dream out loud of anything else ...

Enriching solid-state batteries

MIT researchers demonstrate a method to make a smaller, safer, and faster lithium-rich ceramic electrolyte.

July 11, 2019

MIT News | Massachusetts Institute of Technology

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