Designing new compounds or alloys whose surfaces can be used as catalysts in chemical reactions can be a complex process relying […]

Artificial intelligence models that pick out patterns in images can often do so better than human eyes — but not always. […]

Providing a resource for U.S. policymakers, a committee of MIT leaders and scholars has released a set of policy briefs that […]

In late November, faculty, staff, and students from across MIT participated in MIT Generative AI Week. The programming included a flagship […]

More than 2,000 years ago, the Greek mathematician Euclid, known to many as the father of geometry, changed the way we […]

Photolithography involves manipulating light to precisely etch features onto a surface, and is commonly used to fabricate computer chips and optical […]

Computational models that mimic the structure and function of the human auditory system could help researchers design better hearing aids, cochlear […]

MIT-Pillar AI Collective has announced three inaugural fellows for the fall 2023 semester. With support from the program, the graduate students, […]

During a chemical reaction, molecules gain energy until they reach what’s known as the transition state — a point of no […]

Imagine you are scrolling through the photos on your phone and you come across an image that at first you can’t […]

Using a type of artificial intelligence known as deep learning, MIT researchers have discovered a class of compounds that can kill […]

Natural language conveys ideas, actions, information, and intent through context and syntax; further, there are volumes of it contained in databases. […]

With help from an artificial language network, MIT neuroscientists have discovered what kind of sentences are most likely to fire up […]

Explaining the behavior of trained neural networks remains a compelling puzzle, especially as these models grow in size and sophistication. Like […]

In fields such as physics and engineering, partial differential equations (PDEs) are used to model complex physical processes to generate insight […]

In the last 10 years, the growth of the Internet has made ranking algorithms one of the hottest topics in computer […]

Consider the following scenario: A scout surveys a high-rise building that’s been crippled by an earthquake, trapping workers inside. After looking […]

The information age is also the age of information overload. Companies, governments, researchers and private citizens are accumulating digital data at […]

Microsoft’s Visual Basic programming language lets Excel users customize their spreadsheets in all kinds of time-saving ways, but few people take […]

In the last 10 years, it’s become far more common for physicians to keep records electronically. Those records could contain a […]

For many companies, moving their web-application servers to the cloud is an attractive option, since cloud-computing services can offer economies of […]

With the recent launch of MIT’s Institute for Medical Engineering and Science, MIT News examines research with the potential to reshape medicine […]

Reinforcement learning is a technique, common in computer science, in which a computer system learns how best to solve some problem […]

Much artificial-intelligence research is concerned with finding statistical correlations between variables: What combinations of visible features indicate the presence of a […]

Researchers in MIT’s Computer Science and Artificial Intelligence Laboratory, working with colleagues at the University of Washington, have developed a new […]

Machine learning, in which computers learn new skills by looking for patterns in training data, is the basis of most recent […]

Much artificial-intelligence research addresses the problem of making predictions based on large data sets. An obvious example is the recommendation engines […]

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 […]