Computer Science and Artificial Intelligence Laboratory (CSAIL)

Venkat Arun of MIT stands in front of the prototype of RFocus, a software-controlled “smart surface” that uses more than 3,000 antennas to maximize the strength of the signal at the receiver.

A smart surface for smart devices

External system improves phones’ signal strength 1,000 percent, without requiring extra antennas.

February 3, 2020

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

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

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.

December 20, 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

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

MIT News | Massachusetts Institute of Technology

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