Electrical Engineering and Computer Science

Spider, a new cryptocurrency-routing scheme, splits each full transaction into smaller “packets” that are sent across different channels at different rates.

Giving cryptocurrency users more bang for their buck

Routing scheme boosts efficiency in networks that help speed up blockchain transactions.

January 30, 2020

Madeline Abrahams, an EECS senior and MIT/Tang Family FinTech SuperUROP scholar, presents her work investigating the spread of misinformation related to climate change via algorithmic aggregation platforms at the SuperUROP Showcase.

At halfway point, SuperUROP scholars share their research results

In a lively poster session, more than 100 undergraduates discuss their yearlong research projects on everything from machine learning to political geography.

January 29, 2020

A PhD student in the MIT Department of Electrical Engineering and Computer Science, Natalie Lao has co-founded startups aimed at democratizing artificial intelligence and using AI to protect democracy by fighting false and misleading information.

Demystifying artificial intelligence

Doctoral candidate Natalie Lao wants to show that anyone can learn to use AI to make a better world.

January 29, 2020

MathWorks fellows with Anantha Chandrakasan (back row, center), dean of the MIT School of Engineering. Not pictured: Fellows Pasquale Antonante, Alireza Fallah, and Kate Reidy.

Accelerating the pace of engineering

The 2019-20 School of Engineering MathWorks Fellows are using MATLAB and Simulink to advance discovery and innovation across disciplines.

January 28, 2020

Researchers have developed a method that allows them to determine whether a particular risk model’s results can be trusted for a given patient.

Technique reveals whether models of patient risk are accurate

Computer scientists’ new method could help doctors avoid ineffective or unnecessarily risky treatments.

January 23, 2020

An AI model developed at MIT and Qatar Computing Research Institute that uses only satellite imagery to automatically tag road features in digital maps could improve GPS navigation, especially in countries with limited map data.

Using artificial intelligence to enrich digital maps

Model tags road features based on satellite images, to improve GPS navigation in places with limited map data.

January 23, 2020

Left to right: MARC committee members and MIT graduate students Navid Abedzadeh, Mayuran Saravanapavanantham, Haozhe Wang, Elaine McVay, Qingyun Xie, Jatin Patil, Jessica Boles, Rachel Yang, and Rishabh Mittal.

MIT graduate students lead conference on microsystems and nanotechnology

Student committee puts together research showcase while balancing coursework, qualifying exams, and extracurriculars.

January 22, 2020

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

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.