Computer science and technology

Peering under the hood of fake-news detectors

Study uncovers language patterns that AI models link to factual and false articles; underscores need for further testing.

February 6, 2019

Researchers from MIT and the Qatar Computing Research Institute (QCRI) are putting the machine-learning systems known as neural networks under the microscope.

Putting neural networks under the microscope

Researchers pinpoint the “neurons” in machine-learning systems that capture specific linguistic features during language-processing tasks.

February 1, 2019

"I became focused on a life in political science at a pretty young age, and by high school, it seemed like a natural path," says Andrew Halterman, PhD candidate in the Department of Political Science.

Understanding ethnic cleansing by mining a trove of text

With his innovative method for analyzing language, political science student Andrew Halterman maps civilian deaths in Syria.

January 30, 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

Researchers from MIT and elsewhere have designed the first fully flexible, battery-free “rectenna” — a device that converts energy from Wi-Fi signals into electricity — that could be used to power flexible and wearable electronics, medical devices, and sensors for the “internet of things.”

Converting Wi-Fi signals to electricity with new 2-D materials

Device made from flexible, inexpensive materials could power large-area electronics, wearables, medical devices, and more.

January 28, 2019

New research describes a single neural network that can collect missing data from a patient and add it to their chart.

Filling the gaps in a patient’s medical data

Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information.

January 25, 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

A model by MIT and Microsoft researchers identifies instances where autonomous systems have “learned” from training examples that don’t match what’s actually happening in the real world, which can be used to identify which learned actions could cause costly errors.

Identifying artificial intelligence “blind spots”

Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.

January 24, 2019

MIT researchers have developed a new secure cryptocurrency that reduces data users need to join the network and verify transactions by up to 99 percent, compared to today’s popular cryptocurrencies, which could mean a more scalable network.

A faster, more efficient cryptocurrency

Design reduces by 99 percent the data users need to join the network and verify transactions.

January 23, 2019

Professor Antonio Torralba, MIT director of the MIT—IBM Watson AI Lab and the inaugural director of the MIT Quest for Intelligence, addresses the audience at the MIT AI Policy Congress on Jan. 15.

AI, the law, and our future

MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation.

January 18, 2019

Leo Celi, a researcher at MIT and a physician at Beth Israel Deaconess Medical Center, leads a global series of health care hackathons, or datathons, to bring doctors and data scientists together and encourage hospitals to make use of their electronic medical records.

Democratizing artificial intelligence in health care

Hackathons promote doctor-data scientist collaboration and expanded access to electronic medical-records to improve patient care.

January 18, 2019

Vinod Vaikuntanathan is using number theory and other mathematical concepts to fortify encryption so it can be used for new applications and stand up to even the toughest adversaries.

Fortifying the future of cryptography

Vinod Vaikuntanathan aims to improve encryption in a world with growing applications and evolving adversaries.

January 16, 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

Scratch 3.0 features new extensions, tablet and touchscreen capabilities, and improved tools for collaboration.

Introducing Scratch 3.0

The new version of the popular free coding platform builds on a robust community of kid coders.

January 8, 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

MIT News | Massachusetts Institute of Technology

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