Category: Machine learning

Learning to code involves recognizing how to structure a program, and how to fill in every last detail correctly. No wonder […]

In Canadian author Margaret Atwood’s book “Blind Assassins,” she says that “touch comes before sight, before speech. It’s the first language […]

MIT researchers have devised a novel method to glean more information from images used to train machine-learning models, including those that […]

The MIT Machine Intelligence Community began with a few friends meeting over pizza to discuss landmark papers in machine learning. Three years […]

Want to create a brand new type of protein that might have useful properties? No problem. Just hum a few bars. […]

A team of MIT researchers is making it easier for novices to get their feet wet with artificial intelligence, while also helping […]

In the Iron Man movies, Tony Stark uses a holographic computer to project 3-D data into thin air, manipulate them with […]

Today’s smartphones often use artificial intelligence (AI) to help make the photos we take crisper and clearer. But what if these […]

A graduate student researching red blood cell production, another studying alternative aviation fuels, and an MBA candidate: What do they have […]

Over the next decade, the biggest generator of data is expected to be devices which sense and control the physical world. […]

Artificial intelligence is expected to have tremendous societal impact across the globe in the near future. Now Luis Videgaray PhD ’98, […]

An automated system developed by MIT researchers designs and 3-D prints complex robotic parts called actuators that are optimized according to […]

Prime Minister Mark Rutte of the Netherlands visited MIT on Friday, taking an innovation-oriented campus tour with a focus on computing […]

MIT professors David Sontag and Peter Szolovits don’t assign a textbook for their class, 6.S897HST.956 (Machine Learning for Healthcare), because there isn’t one. Instead, students read […]

A few years ago, the idea of tricking a computer vision system by subtly altering pixels in an image or hacking […]

In recent years, machine learning has been proving a valuable tool for identifying new materials with properties optimized for specific applications. […]

A new model developed at MIT can help predict if patients at risk for Alzheimer’s disease will experience clinically significant cognitive […]

MIT computer scientists are hoping to accelerate the use of artificial intelligence to improve medical decision-making, by automating a key step […]

A new machine learning technology tested by an international team of scientists including MIT Assistant Professor Philip Harris and postdoc Dylan […]

A novel system developed by MIT researchers automatically “learns” how to schedule data-processing operations across thousands of servers — a task […]

IBM designed Summit, the fastest supercomputer on Earth, to run the calculation-intensive models that power modern artificial intelligence (AI). Now MIT […]

Automation is not likely to eliminate millions of jobs any time soon — but the U.S. still needs vastly improved policies […]

Machine learning is undeniably a tool that most disciplines like to have in their toolbox. However, scientists are still investigating the […]

Researchers from MIT and elsewhere have developed a system that measures a patient’s pain level by analyzing brain activity from a […]

Neural networks have given researchers a powerful tool for looking into the future and making predictions. But one drawback is their […]

Having a compact, yet robust, structurally-based identifier or representation system for molecular structures is a key enabling factor for efficient sharing […]

Rhythmic flashes from a computer screen illuminate a dark room as sounds fill the air. The snare drum sample comes out […]

The new TX-GAIA (Green AI Accelerator) computing system at the Lincoln Laboratory Supercomputing Center (LLSC) has been ranked as the most […]

A new system developed by researchers at MIT and elsewhere helps networks of smart devices cooperate to find their positions in […]

Machine learning and artificial intelligence are increasingly being used in materials science research. For example, MIT associate professor of materials science […]

Hijacking IP addresses is an increasingly popular form of cyber-attack. This is done for a range of reasons, from sending spam […]

A branch of machine learning called deep learning has helped computers surpass humans at well-defined visual tasks like reading medical scans, […]

MIT researchers have developed a model that recovers valuable data lost from images and video that have been “collapsed” into lower […]

MIT’s Ray and Maria Stata Center (Building 32), known for its striking outward appearance, is also designed to foster collaboration among […]

If you’ve ever seen a self-driving car in the wild, you might wonder about that spinning cylinder on top of it.  […]

MIT researchers have compiled a dataset that captures the detailed behavior of a robotic system physically pushing hundreds of different objects. […]

Using a supercomputing system, MIT researchers have developed a model that captures what web traffic looks like around the world on […]

To improve the safety of autonomous systems, MIT engineers have developed a system that can sense tiny changes in shadows on […]

MIT Research Engineer Bryan Reimer recently received the Jack A. Kraft Innovator Award from the Human Factors and Ergonomics Society (HFES). […]

From the “Mona Lisa” to the “Girl with a Pearl Earring,” some images linger in the mind long after others have […]

In the not too distant future, robots may be dispatched as last-mile delivery vehicles to drop your takeout order, package, or […]

MIT and Toyota researchers have designed a new model to help autonomous vehicles determine when it’s safe to merge into traffic […]

An autonomous robotic system invented by researchers at MIT and the Woods Hole Oceanographic Institution (WHOI) efficiently sniffs out the most […]

The promises and challenges of artificial intelligence and machine learning highlighted the Oct. 9 MIT Materials Day Symposium, with presentations on […]

“This sophisticated machine learning study suggests, alongside several other recent more conventional studies, that there may be fewer if any differences […]

With 100 million Toyota vehicles on the planet emitting greenhouse gases at a rate roughly comparable to those of France, the […]

Visualizing an AI model’s blind spots #Machinelearning According to Hacker.top Team researched from news.mit.edu

Self-driving cars are coming. But for all their fancy sensors and intricate data-crunching abilities, even the most cutting-edge cars lack something […]

Omar Costilla Reyes reels off all the ways that artificial intelligence might benefit his native Mexico. It could raise living standards, […]