Electrical Engineering & Computer Science (eecs)

Researchers from MIT, Google, and elsewhere have designed a novel method for verifying when quantum processors have accurately performed complex computations that classical computers can’t. They validate their method on a custom system (pictured) that’s able to capture how accurately a photonic chip (“PNP”) computed a notoriously difficult quantum problem.

How to verify that quantum chips are computing correctly

A new method determines whether circuits are accurately executing complex operations that classical computers can’t tackle.

January 13, 2020

Sending clearer signals

Associate Professor Yury Polyanskiy is working to keep data flowing as the “internet of things” becomes a reality.

January 11, 2020

A variety of new diagnostic models can analyze patient data and real-time symptoms to predict if a given patient has a particular disease.

How well can computers connect symptoms to diseases?

Models that map these relationships based on patient data require fine-tuning for certain conditions, study shows.

January 9, 2020

Left to right: Hari Balakrishnan, Richard Lippmann, and Daniel Rabideau have been named 2020 IEEE Fellows.

Three from MIT are named 2020 fellows of the IEEE

Two staff members from Lincoln Laboratory and a professor in the School of Engineering are recognized for their influential research.

January 8, 2020

Finding the true potential of algorithms

Using mathematical theory, Virginia Williams coaxes algorithms to run faster or proves they’ve hit their maximum speed.

January 7, 2020

MIT researchers have built a new benchmark tool that can accurately predict how long it takes given code to execute on a computer chip, which can help programmers tweak the code for better performance.

Tool predicts how fast code will run on a chip

Machine-learning system should enable developers to improve computing efficiency in a range of applications.

January 6, 2020

Designed by an MIT team using artificial intelligence, “The [R]evolution of Hip Hop Breakbeat Narratives” is an immersive art installation designed for the forthcoming Universal Hip Hop Museum in New York City.

Exploring hip hop history with art and technology

With its centerpiece exhibit for the forthcoming Universal Hip Hop Museum, an MIT team uses artificial intelligence to explore the rich history of hip hop music.

December 20, 2019

An automated machine-learning model developed by MIT researchers significantly outperforms human Wall Street analysts in predicting quarterly business sales.

Model beats Wall Street analysts in forecasting business financials

Using limited data, this automated system predicts a company’s quarterly sales.

December 19, 2019

Clockwise from upper left: Asu Ozdaglar, Joel Voldman, Arvind, and Antonio Torralba

Restructuring the MIT Department of Electrical Engineering and Computer Science

The Institute's largest academic department reorganizes with new leadership as part of the formation of the MIT Schwarzman College of Computing.

December 5, 2019

Clockwise from top left: seniors Mariam Dogar, Jessica Quaye, and Adedoyin Olateru-Olagbegi, and alumna Jessica Wang.

Three MIT seniors to join 2021 class of Schwarzman Scholars

Two alumni have also been selected; the scholars will study global affairs at Beijing’s Tsinghua University.

December 4, 2019

An MIT-invented model demonstrates an understanding of some basic “intuitive physics” by registering “surprise” when objects in simulations move in unexpected ways, such as
rolling behind a wall and not reappearing on the other side.

Helping machines perceive some laws of physics

Model registers “surprise” when objects in a scene do something unexpected, which could be used to build smarter AI.

December 2, 2019

An MIT-invented circuit uses only a nanometer-wide “magnetic domain wall” to modulate the phase and magnitude of a spin wave, which could enable practical magnetic-based computing — using little to no electricity.

Toward more efficient computing, with magnetic waves

Circuit design offers a path to “spintronic” devices that use little electricity and generate practically no heat.

November 28, 2019

With their model, researchers were able to generate on-demand brain scan templates of various ages (pictured) that can be used in medical-image analysis to guide disease diagnosis.

Producing better guides for medical-image analysis

Model quickly generates brain scan templates that represent a given patient population.

November 26, 2019

Clockwise from upper left: Megan Yamoah, Billy Woltz, Fran Vasconcelos, Claire Halloran, and Ali Daher

Five MIT students named 2020 Rhodes Scholars

Ali Daher, Claire Halloran, Francisca Vasconcelos, Billy Andersen Woltz, and Megan Yamoah will begin postgraduate studies at Oxford University next fall.

November 23, 2019

Illustration shows the apparatus used to create a thin layer of a transparent, electrically conductive material, to protect solar cells or other devices. The chemicals used to produce the layer, shown in tubes at left, are introduced into a vacuum chamber where they deposit a layer on a substrate material at top of the chamber.

Clear, conductive coating could protect advanced solar cells, touch screens

New material should be relatively easy to produce at an industrial scale, researchers say.

November 22, 2019

MIT News | Massachusetts Institute of Technology

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