Category: Machine learning

Can you out-race a computer? #Machinelearning According to Hacker.top Team researched from news.mit.edu

Scientists have crunched data to predict crime, hospital visits, and government uprisings — so why not the price of Bitcoin? A […]

Computers are good at identifying patterns in huge data sets. Humans, by contrast, are good at inferring patterns from just a […]

For household robots ever to be practical, they’ll need to be able to recognize the objects they’re supposed to manipulate. But […]

When Kalyan Veeramachaneni joined the Any Scale Learning For All (ALFA) group at MIT’s CSAIL as a postdoc in 2010, he […]

Most recent advances in artificial intelligence — such as mobile apps that convert speech to text — are the result of […]

Object recognition — determining what objects are where in a digital image — is a central research topic in computer vision. […]

All activity on your social media accounts contributes to your “social graph,” which maps your interconnected online relationships, likes, preferred activities, […]

MIT researchers have designed a computer system that learns how to play a text-based computer game with no prior assumptions about […]

Machine learning, which is the basis for most commercial artificial-intelligence systems, is intrinsically probabilistic. An object-recognition algorithm asked to classify a […]

MIT researchers are developing a computer system that uses genetic, demographic, and clinical data to help predict the effects of disease […]

Researchers at MIT, New York University, and the University of Toronto have developed a computer system whose ability to produce a […]

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have created an algorithm that can predict how memorable or forgettable […]

Object-recognition systems are beginning to get pretty good — and in the case of Facebook’s face-recognition algorithms, frighteningly good. But object-recognition […]

We humans take for granted our remarkable ability to predict things that happen around us. For example, consider Rube Goldberg machines: […]

MIT researchers have developed a machine-learning system that can comb through repairs to open-source computer programs and learn their general properties, […]

Guy Bresler joined the MIT faculty in September 2015 as the Bonnie and Marty (1964) Tenenbaum Career Development Professor in the […]

For robots to navigate the world, they need to be able to make reasonable assumptions about their surroundings and what might […]

For the past 40 years, eye-tracking technology — which can determine where in a visual scene people are directing their gaze […]

When we see two people meet, we can often predict what happens next: a handshake, a hug, or maybe even a […]

As machines become more intelligent, they become embedded in countless facets of life. In some ways, they can act almost as […]

After thousands of hours of work, MIT researchers have released the first major database of fully annotated English sentences written by […]

Ramesh Raskar, founder of the Camera Culture research group at the MIT Media Lab and associate professor of media arts and […]

For children with speech and language disorders, early-childhood intervention can make a great difference in their later academic and social success. […]

During an intense U.S. presidential campaign, millions of people are chatting about the election every day on Twitter. MIT is studying […]

Ankur Moitra, the Rockwell International Career Development Associate Professor of Mathematics, was named a 2016 David and Lucile Packard Fellow. Each […]

Last year, MIT researchers presented a system that automated a crucial step in big-data analysis: the selection of a “feature set,” […]

For years, researchers at the MIT Media Lab have been developing a database of images captured at regular distances around several […]

Data analysis — and particularly big-data analysis — is often a matter of fitting data to some sort of mathematical model. […]

In recent years, the best-performing systems in artificial-intelligence research have come courtesy of neural networks, which look for patterns in training […]

Of the vast wealth of information unlocked by the Internet, most is plain text. The data necessary to answer myriad questions […]

Surviving breast cancer changed the course of Regina Barzilay’s research. The experience showed her, in stark relief, that oncologists and their […]

Living in a dynamic physical world, it’s easy to forget how effortlessly we understand our surroundings. With minimal thought, we can […]

MIT researchers and their colleagues have developed a new computational model of the human brain’s face-recognition mechanism that seems to capture […]

In recent years, computers have gotten remarkably good at recognizing speech and images: Think of the dictation software on most cellphones, […]

Speech recognition systems, such as those that convert speech to text on cellphones, are generally the result of machine learning. A […]

One way to handle big data is to shrink it. If you can identify a small subset of your data set […]

When data sets get too big, sometimes the only way to do anything useful with them is to extract much smaller […]

In the not so distant future, first responders to a disaster zone may include four-legged, dog-like robots that can bound through […]

The MIT Media Lab and the Berkman Klein Center for Internet and Society at Harvard University will serve as the founding […]

When Joy Buolamwini, an MIT master’s candidate in media arts and sciences, sits in front a mirror, she sees a black […]

The butt of jokes as little as 10 years ago, automatic speech recognition is now on the verge of becoming people’s […]

Regina Barzilay is working with MIT students and medical doctors in an ambitious bid to revolutionize cancer care. She is relying on […]

Like MIT’s campus computing environment, Athena, a pre-cloud solution for enabling files and applications to follow the user, Dropbox’s Drew Houston […]

Three MIT-affiliated research teams will receive about $10M in funding as part of a $35M materials science discovery program launched by […]

The field of transportation is undergoing a seismic shift with the introduction of autonomous driving — or computer-driven cars. Computer vision […]

In the past 10 years, the best-performing artificial-intelligence systems — such as the speech recognizers on smartphones or Google’s latest automatic […]

Tommi Jaakkola, a professor of computer science and engineering at MIT, has been named the inaugural holder of the Thomas Siebel […]