Electrical engineering and computer science (EECS)

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

In a new study, researchers at MIT and IBM combine three popular text-analysis tools — topic modeling, word embeddings, and optimal transport — to compare thousands of documents per second. Here, they show that their method (left) clusters newsgroup posts by category more tightly than a competing method.

Finding a good read among billions of choices

As natural language processing techniques improve, suggestions are getting speedier and more relevant.

December 20, 2019

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

ObjectNet, a dataset of photos created by MIT and IBM researchers, shows objects from odd angles, in multiple orientations, and against varied backgrounds to better represent the complexity of 3D objects. The researchers hope the dataset will lead to new computer vision techniques that perform better in real life.

This object-recognition dataset stumped the world’s best computer vision models

Objects are posed in varied positions and shot at odd angles to spur new AI techniques.

December 10, 2019

MIT students explore the practical application of electromagnetic concepts through 8.02 (Electricity and Magnetism) class experiments.

Schools of Science and Engineering join hands to transform learning

In 8.02 (Electricity and Magnetism), students explore the practical application of electromagnetic concepts.

December 6, 2019

Based on shadows that an out-of-view video casts on nearby objects, MIT researchers can estimate the contents of the unseen video. In the top row, researchers used this method to recreate visual elements in an out-of-view video; the original elements are shown in the bottom row.

Using computers to view the unseen

A new computational imaging method could change how we view hidden information in scenes.

December 6, 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

Cornell University’s Paul McEuen gives the inaugural Mildred S. Dresselhaus Lecture on cell-sized sensors and robots.

Paul McEuen delivers inaugural Dresselhaus Lecture on cell-sized robots

Cornell University professor and physicist uses nanoscale parts to create smart, active microbots.

December 4, 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

School of Engineering third quarter 2019 awards

Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the last quarter.

November 27, 2019

Dean Dan Huttenlocher has been working on developing the organizational structure of the new MIT Stephen A. Schwarzman College of Computing. He answers three questions about building the college and offers a glimpse into the new college headquarters.

3 Questions: Dan Huttenlocher on the formation of the MIT Schwarzman College of Computing

The inaugural dean shares an update on the process of building a college.

November 26, 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.