Machine learning

By comparing 1.6 million pairs of photos taken seven years apart, researchers have now used a new computer vision system to quantify the physical improvement or deterioration of neighborhoods in five American cities, in an attempt to identify factors that predict urban change. Pictured are two street views, with the old photograph on the left and the new photograph on the right.

Why do some neighborhoods improve?

Density of highly educated residents, rather than income or housing costs, predicts revitalization.

July 6, 2017

A new computer system predicts the products of chemical reactions. “The vision is that you’ll be able to walk up to a system and say, ‘I want to make this molecule.’ The software will tell you the route you should make it from, and the machine will make it,” says professor Klavs Jensen.

Computer system predicts products of chemical reactions

Machine learning approach could aid the design of industrial processes for drug manufacturing.

June 27, 2017

Graduate student Maria Zawadowicz is researching the interrelationship of particulate matter and cloud formation in the Cziczo Lab.

Measuring biological dust in the wind

A technique developed in the Cziczo Lab may be the most accurate way of identifying biological aerosols from mineral dust in the atmosphere and analyzing their contribution to cloud formation and climate change.

June 20, 2017

MIT President Reif attends White House technology meeting

Conference convened by the White House Office of American Innovation includes leading corporate CEOs and other technology leaders.

June 19, 2017

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

A GelSight sensor attached to a robot’s gripper enables the robot to determine precisely where it has grasped a small screwdriver, removing it from and inserting it back into a slot, even when the gripper screens the screwdriver from the robot’s camera.

Giving robots a sense of touch

GelSight technology lets robots gauge objects’ hardness and manipulate small tools.

June 5, 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

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

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

Tommi Jaakkola is the inaugural Thomas Siebel Professor in EECS and IDSS.

Tommi Jaakkola appointed Thomas Siebel Professor in EECS and IDSS

Leader in machine learning and natural language processing takes on professorship established by veteran software entrepreneur Thomas Siebel.

April 26, 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

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

Dropbox CEO Drew Houston '05 (seated, front left) stopped by MIT on Feb. 3 for a "fireside chat" with students. The event was part of StartMIT, a workshop on entrepreneurship organized by the Department of Electrical Engineering and Computer Science.

Dropbox founder drops by to inspire and spark collaboration

Drew Houston ’05 chatted with student innovators and shared his latest projects.

March 1, 2017

MIT Professor Regina Barzilay has struck up new research collaborations, drawn in MIT students, launched projects with local doctors, and begun empowering cancer treatment with the machine-learning insight that has already transformed many areas of modern life.

Putting data in the hands of doctors

Computer scientist Regina Barzilay empowers cancer treatment with machine learning.

February 16, 2017

MIT News | Massachusetts Institute of Technology - On Campus and Around the world

Browse By

Topics

Departments

Centers, Labs, & Programs

Schools

Topic