Software

Three-part illustration: On left is a battery labeled "efficiency"; in center is a robot labeled "defensive quantization"; on right is a lock symbol labeled "security."

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

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

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

In a network analysis of data tied to Sierra Leone’s 2014 Ebola virus outbreak, PhD student Marie Charpignon discovered that poor health care access helped to explain why Sierra Leone fared worse than neighboring Guinea or Liberia relative to its population. Here, she explains her results during the Feb. 26-28 MIT Schwarzman College of Computing celebration.

Combining artificial intelligence with their passions

Research projects show creative ways MIT students are connecting computing to other fields.

March 7, 2019

MIT’s new mini cheetah robot is springy, light on its feet, and weighs in at just 20 pounds.

Mini cheetah is the first four-legged robot to do a backflip

Robot’s lightweight, high-power design is the perfect platform to share and play, developers say.

March 4, 2019

A new system by MIT researchers improves the efficiency of high-speed operations in data centers by better assigning time-sensitive data processing across CPU cores and ensuring hardware runs productively.

Achieving greater efficiency for fast data center operations

System better allocates time-sensitive data processing across cores to maintain quick user-response times.

February 21, 2019

Using a new cooperative learning technique, MIT-IBM Watson AI Lab researchers cut by half the time it took a pair of robot agents to learn to maneuver to opposite sides of a virtual room.

Learning to teach to speed up learning

An algorithm that teaches robot agents how to exchange advice to complete a task helps them learn faster.

January 29, 2019

Members of the Health Analytics Collective: (left to right) Mohamad Zahreddine, Michelle Gayari, Duane Robinson, Uma Sharma, Vijay Ivaturi, Kelly Hill, Joga Gobburu, Alan Edelman, and Prasad Koppolu, gather at MMS Holdings in Canton, Michigan.

Julia Lab joins team to speed up drug approval process

Health Analytics Collective uses real-world evidence to modernize health and drug development decisions.

January 25, 2019

MIT researchers are hoping to advance the democratization of data science with a new tool for nonprogrammers that automatically generates models for analyzing raw data.

Democratizing data science

Tool for nonstatisticians automatically generates models that glean insights from complex datasets.

January 15, 2019

MIT researchers have devised a technique that “reverse engineers” complex 3-D computer-aided design (CAD) models — breaking them down into the many individual shapes they’re made of — to make them far easier for users to customize for manufacturing and 3-D printing applications.

Customizing computer-aided design

System breaks down complex designs into easily modifiable shapes for custom manufacturing and 3-D printing.

January 2, 2019

The recipients of the 2019 IEEE Innovation in Societal Infrastructure Award are (l-r) Andy Vidan, Gregory Hogan, and Paul Breimyer. They are being honored for their development of an integrated decision support system for coordinating disaster response activities.

IEEE honors disaster response system developers

Innovation in Societal Infrastructure Award recognizes Lincoln Laboratory researchers who created a system that gives first responders the big picture.

September 17, 2018

Members of a team developing Adaptable Interpretable Machine Learning at Lincoln Laboratory are: (l-r) Melva James, Stephanie Carnell, Jonathan Su, and Neela Kaushik.

Taking machine thinking out of the black box

Adaptable Interpretable Machine Learning project is redesigning machine learning models so humans can understand what computers are thinking.

September 5, 2018

Julia 1.0, developed and incubated at MIT, was officially released to the public during JuliaCon, an annual conference of Julia users held recently in London.

MIT-created programming language Julia 1.0 debuts

The dynamic programming language, which is free and open source, combines the speed and popular features of the best scientific and technical software.

August 27, 2018

CSAIL researchers have developed a visualization tool for CAD that, for the first time, lets users instead interactively explore all designs that best fit multiple, often-conflicting performance tradeoffs, in real time.

Design tool reveals a product’s many possible performance tradeoffs

Users can quickly visualize designs that optimize multiple parameters at once.

August 15, 2018

Tom Fredian is being recognized for his “outstanding leading role in the development and evolution of data systems in nuclear fusion.”

Tom Fredian: Streamlining fusion data

MIT systems analyst receives award for his essential fusion data storage and retrieval system.

June 1, 2018

In the NICS command and control tent at the base of operations, Zeljko Sinkovic, who is working with the Laboratory to develop the Southeast Europe version of NICS, inputs information into the system. On the map, a car icon has been placed where responders have confirmed it has crashed, and the red dots represent the locations of responders.

Southeastern European nations are latest to adopt emergency-response system

Lincoln Laboratory, in partnership with NATO, is modifying the system to help the region coordinate disaster response across borders.

April 4, 2018

MIT News | Massachusetts Institute of Technology

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