Category: Machine learning

MIT’s Laboratory for Information and Decision Systems (LIDS) has been awarded $1,365,000 in funding from the Appalachian Regional Commission (ARC) to […]

In the Dzaleka Refugee Camp in Malawi, Jospin Hassan didn’t have access to the education opportunities he sought. So, he decided […]

Any drug that is taken orally must pass through the lining of the digestive tract. Transporter proteins found on cells that […]

You’ve likely met someone who identifies as a visual or auditory learner, but others absorb knowledge through a different modality: touch. […]

A few years ago, MIT researchers invented a cryptographic ID tag that is several times smaller and significantly cheaper than the […]

When a human-AI conversation involves many rounds of continuous dialogue, the powerful large language machine-learning models that drive chatbots like ChatGPT […]

Crop maps help scientists and policymakers track global food supplies and estimate how they might shift with climate change and growing […]

The MIT-Pillar AI Collective has announced six fellows for the spring 2024 semester. With support from the program, the graduate students, […]

Behrooz Tahmasebi — an MIT PhD student in the Department of Electrical Engineering and Computer Science (EECS) and an affiliate of […]

Starting on New Year’s Day, when many people were still clinging to holiday revelry, scores of students and faculty members from […]

When June Odongo interviewed early-career electrical engineer Cynthia Wacheke for a software engineering position at her company, Wacheke lacked knowledge of […]

What to do about AI in health? #Machinelearning According to Hacker.top Team researched from news.mit.edu

Atacama Biomaterials is a startup combining architecture, machine learning, and chemical engineering to create eco-friendly materials with multiple applications. Passionate about […]

Your daily to-do list is likely pretty straightforward: wash the dishes, buy groceries, and other minutiae. It’s unlikely you wrote out […]

What is the likelihood of dying in a plane crash? According to a 2022 report released by the International Air Transport […]

In order for natural language to be an effective form of communication, the parties involved need to be able to understand […]

The first documented case of pancreatic cancer dates back to the 18th century. Since then, researchers have undertaken a protracted and […]

To teach an AI agent a new task, like how to open a kitchen cabinet, researchers often use reinforcement learning — […]

Speaking at the “Generative AI: Shaping the Future” symposium on Nov. 28, the kickoff event of MIT’s Generative AI Week, keynote […]

It isn’t easy for a robot to find its way out of a maze. Picture the machines trying to traverse a […]

While Santa Claus may have a magical sleigh and nine plucky reindeer to help him deliver presents, for companies like FedEx, […]

Eric Evans will be stepping down as director of MIT Lincoln Laboratory on July 1, 2024, after 18 years leading a […]

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 […]