Electrical Engineering and Computer Science

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

MIT researchers have developed a new technique using quantum reference beacons for superresolution optical focusing in complex media.

Technique could boost resolution of tissue imaging as much as tenfold

Approach developed by MIT engineers surmounts longstanding problem of light scattering within biological tissue and other complex materials.

January 31, 2019

About 130 undergraduates discussed the progress of their yearlong research projects at during the SuperUROP Showcase poster session.

SuperUROP: Showcasing students' research work in progress

Undergraduate researchers discussed their projects at a well-attended poster session.

January 31, 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

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

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

This image, taken through an optical microscope, shows a cross-section of the tectorial membrane, a gelatinous structure that lies atop the tiny hairs that line the inner ear.

Mechanism helps explain the ear’s exquisite sensitivity

A critical gel-like structure in the inner ear moves according to a sound’s frequency, researchers find.

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

First row, left to right: Suvrit Sra, Frances Ross, Pulkit Agrawal, Kevin O’Brien, Richard Linares, and Cathy Wu. Second row, left to right: Negar Reiskarimian, Jacob Andreas, Giovanni Traverso, Manya Ghobadi, and Ashwin Gopinath.

School of Engineering welcomes new faculty

Eleven new professors join the MIT community.

January 9, 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

Researchers from MIT and elsewhere have recorded the “temporal coherence” of a graphene qubit — how long it maintains a special state that lets it represent two logical states simultaneously — marking a critical step forward for practical quantum computing.

Physicists record “lifetime” of graphene qubits

First measurement of its kind could provide stepping stone to practical quantum computing.

December 31, 2018

MIT News | Massachusetts Institute of Technology

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