Artificial intelligence

Researchers at MIT and Massachusetts General Hospital have designed a new system that can efficiently search through hundreds of hours of video of laparoscopic surgeries to identify relevant events and visual features.

Shrinking data for surgical training

Technique that reduces video files to one-tenth their initial size enables speedy analysis of laparoscopic procedures.

June 16, 2017

PhD student Danielle Olson believes we can make digital information-sharing more natural and interpersonal, by creating immersive media to better understand each other’s feelings and backgrounds.

Danielle Olson: Building empathy through computer science and art

CSAIL PhD student creates immersive media to help users understand each other’s backgrounds and feelings.

May 30, 2017

At graduate school in Berkeley, professor Armando Solar-Lezama found himself part of a small community of researchers working on “program synthesis,” or the automatic generation of computer programs. His thesis project was a language called Sketch, which lets programmers describe program functionality in general terms and automatically fills in the computational details. After graduating from ...

Armando Solar-Lezama: Academic success despite an inauspicious start

Initially turned down by nearly every college he applied to, the computer scientist cleared his own path to MIT.

May 25, 2017

The winning team Lightmatter pose with organizers and friends.

MIT $100K winner’s optical chips perform AI computations at light speed

A flushless toilet that shrinks waste and a device that detects leaky pipes also won top prizes.

May 18, 2017

"The new frontier is learning how to design the relationships between people, robots, and infrastructure," says David Mindell, the Dibner Professor of the History of Engineering and Manufacturing, and a professor of aeronautics and astronautics. "We need new sensors, new software, new ways of architecting systems."

Q&A: On the future of human-centered robotics

Professor David Mindell, who researches the interaction between automation and human behavior, discusses the interdependence of people, robots, and infrastructure.

May 15, 2017

MIT doctoral candidate Claudia Pérez-D'Arpino discusses her work teaching the Optimus robot to perform various tasks, including picking up a bottle.

Teaching robots to teach other robots

CSAIL approach allows robots to learn a wider range of tasks using some basic knowledge and a single demo.

May 10, 2017

Eric Schmidt, former Google CEO and current chair of Google's parent company, Alphabet, touched on many issues during his visit to MIT, including self-driving cars, the state of computer science research, and artificial intelligence in health care.

Eric Schmidt visits MIT to discuss computing, artificial intelligence, and the future of technology

Former Google CEO, now chairman of parent company Alphabet, speaks to students as part of fireside chat with CSAIL Director Daniela Rus.

May 4, 2017

Tommi Jaakkola, a professor of electrical engineering and comptuer science at MIT, tosses chocolates to students during Introduction to Machine Learning, or 6.036.

Genuine enthusiasm for AI

Machine learning is one of the hottest subjects on campus.

April 27, 2017

Most applications of deep learning use “convolutional” neural networks, in which the nodes of each layer are clustered, the clusters overlap, and each cluster feeds data to multiple nodes (orange and green) of the next layer.

Explained: Neural networks

Ballyhooed artificial-intelligence technique known as “deep learning” revives 70-year-old idea.

April 14, 2017

Mobileye co-founder Amnon Shashua PhD '93 delivered a lecture on autonomous driving at MIT on March 27.

Looking ahead to the future of computer-driven cars

Amnon Shashua PhD ’93, co-founder of Mobileye, discusses challenges associated with autonomous vehicles in MIT visit.

April 13, 2017

MIT Professor Daniela Rus, director of CSAIL, said the goal of a new SystemsThatLearn@CSAIL initiative is "to create a new generation of AI tools that are deeply rooted in systems."

CSAIL launches artificial intelligence initiative with industry

SystemsThatLearn@CSAIL aims to develop new “human-like systems” for data science and other fields.

April 6, 2017

As part of a $35 million materials science discovery program, The Toyota Research Institute will support three MIT-affiliated projects directed at advancing technologies that underpin the future of mobility and autonomous systems and energy storage, such as rechargeable batteries used in hybrid and electric cars.

Multi-university effort will advance materials, define the future of mobility

With support from the Toyota Research Institute, MIT faculty will focus on next-generation energy storage.

April 3, 2017

Making better decisions when outcomes are uncertain

A simple statistical trick could help make a ubiquitous model of decision processes more accurate.

March 21, 2017

Researchers including MIT professor Daniela Rus (left) and research scientist Stephanie Gil (right) have developed a technique for preventing malicious hackers from commandeering robot teams’ communication networks. To verify the theoretical predictions, the researchers implemented their system using a battery of distributed Wi-Fi transmitters and an autonomous helicopter.

Security for multirobot systems

New technique could protect robot teams’ communication networks from malicious hackers.

March 16, 2017

A new system from CSAIL uses EEG brain signals to detect if a person notices robots making a mistake.

Brain-controlled robots

CSAIL system enables people to correct robot mistakes using brain signals.

March 6, 2017

MIT News | Massachusetts Institute of Technology

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