Electrical Engineering and Computer Science

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

L4DC co-organizer Ali Jadbabaie speaks to a packed room about the future of dynamical and control systems.

IDSS hosts inaugural Learning for Dynamics and Control conference

L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.

July 10, 2019

Mingman Zhao, a PhD student in EECS, spoke to the inaugural 6.883/6.S083 class about common issues in using machine learning tools to address problems.

Machine learning for everyone

A new EECS course on applications of machine learning teaches students from a variety of disciplines about one of today’s hottest topics.

July 9, 2019

Omer Tanovic says that his engineering background has taught him never to lose sight of the intended applications of his work, or the practical parameters for implementation.

Making wireless communication more energy efficient

Along with studying theory, "it's also important to me that the work we are doing will help to solve real-world problems,” says LIDS student Omer Tanovic.

July 3, 2019

Diagram depicts the process of “singlet fission,” which is the first step toward producing two electrons from a single incoming photon of light.

Experiments show dramatic increase in solar cell output

Method for collecting two electrons from each photon could break through theoretical solar-cell efficiency limit.

July 3, 2019

MIT professors Dina Katabi (left) and Angelika Amon are among the 2019 Carnegie Corporation "Great Immigrants, Great Americans."

Angelika Amon and Dina Katabi named Carnegie Corporation “Great Immigrants”

MIT biologist and electrical engineer are two of 38 naturalized U.S. citizens honored for contributions to American society.

July 2, 2019

One of the most synthesized plastics, PET — found in plastic bottles — exhibits an extremely low degradation rate and its production is highly dependent on petroleum feedstocks. New research on the biodegradation of plastics will be funded by a MIT Energy Initiative Seed Fund.

MIT Energy Initiative awards seven Seed Fund grants for early-stage energy research

Annual MITEI awards support research on methane conversion, efficient energy provision, plastics recycling, and more.

July 1, 2019

The GANpaint system developed at MIT can easily add features to an existing image. At left, the original photo of a kitchen; at right, the same kitchen with the addition of a window. Co-author Jun-Yan Zhu believes better understanding of GANs will help researchers be able to better stamp out fakery: “This understanding may potentially help us detect fake images more easily.”

Teaching artificial intelligence to create visuals with more common sense

An MIT/IBM system could help artists and designers make quick tweaks to visuals while also helping researchers identify “fake” images.