Multiple AI models help robots execute complex plans more transparently | MIT News
Your daily to-do list is likely pretty straightforward: wash the dishes, buy groceries, and other minutiae. It’s unlikely you wrote out […]
Read More →Your daily to-do list is likely pretty straightforward: wash the dishes, buy groceries, and other minutiae. It’s unlikely you wrote out […]
Read More →What is the likelihood of dying in a plane crash? According to a 2022 report released by the International Air Transport […]
Read More →In order for natural language to be an effective form of communication, the parties involved need to be able to understand […]
Read More →The first documented case of pancreatic cancer dates back to the 18th century. Since then, researchers have undertaken a protracted and […]
Read More →By default, Nmap scans the top 1000 TCP ports with the SYN scan (-sS). This means that if we do not […]
Read More →To teach an AI agent a new task, like how to open a kitchen cabinet, researchers often use reinforcement learning — […]
Read More →Speaking at the “Generative AI: Shaping the Future” symposium on Nov. 28, the kickoff event of MIT’s Generative AI Week, keynote […]
Read More →It isn’t easy for a robot to find its way out of a maze. Picture the machines trying to traverse a […]
Read More →While Santa Claus may have a magical sleigh and nine plucky reindeer to help him deliver presents, for companies like FedEx, […]
Read More →Eric Evans will be stepping down as director of MIT Lincoln Laboratory on July 1, 2024, after 18 years leading a […]
Read More →Designing new compounds or alloys whose surfaces can be used as catalysts in chemical reactions can be a complex process relying […]
Read More →Artificial intelligence models that pick out patterns in images can often do so better than human eyes — but not always. […]
Read More →Providing a resource for U.S. policymakers, a committee of MIT leaders and scholars has released a set of policy briefs that […]
Read More →In late November, faculty, staff, and students from across MIT participated in MIT Generative AI Week. The programming included a flagship […]
Read More →More than 2,000 years ago, the Greek mathematician Euclid, known to many as the father of geometry, changed the way we […]
Read More →Photolithography involves manipulating light to precisely etch features onto a surface, and is commonly used to fabricate computer chips and optical […]
Read More →Computational models that mimic the structure and function of the human auditory system could help researchers design better hearing aids, cochlear […]
Read More →MIT-Pillar AI Collective has announced three inaugural fellows for the fall 2023 semester. With support from the program, the graduate students, […]
Read More →During a chemical reaction, molecules gain energy until they reach what’s known as the transition state — a point of no […]
Read More →Imagine you are scrolling through the photos on your phone and you come across an image that at first you can’t […]
Read More →Using a type of artificial intelligence known as deep learning, MIT researchers have discovered a class of compounds that can kill […]
Read More →Natural language conveys ideas, actions, information, and intent through context and syntax; further, there are volumes of it contained in databases. […]
Read More →With help from an artificial language network, MIT neuroscientists have discovered what kind of sentences are most likely to fire up […]
Read More →Explaining the behavior of trained neural networks remains a compelling puzzle, especially as these models grow in size and sophistication. Like […]
Read More →In fields such as physics and engineering, partial differential equations (PDEs) are used to model complex physical processes to generate insight […]
Read More →In the last 10 years, the growth of the Internet has made ranking algorithms one of the hottest topics in computer […]
Read More →In the last 20 years or so, many of the key advances in artificial-intelligence research have come courtesy of machine learning, […]
Read More →Consider the following scenario: A scout surveys a high-rise building that’s been crippled by an earthquake, trapping workers inside. After looking […]
Read More →The information age is also the age of information overload. Companies, governments, researchers and private citizens are accumulating digital data at […]
Read More →Microsoft’s Visual Basic programming language lets Excel users customize their spreadsheets in all kinds of time-saving ways, but few people take […]
Read More →Their story After competing against more than 6,600 players from 94 countries around the world and securing a top-three finish in […]
Read More →In the last 10 years, it’s become far more common for physicians to keep records electronically. Those records could contain a […]
Read More →For many companies, moving their web-application servers to the cloud is an attractive option, since cloud-computing services can offer economies of […]
Read More →With the recent launch of MIT’s Institute for Medical Engineering and Science, MIT News examines research with the potential to reshape medicine […]
Read More →Reinforcement learning is a technique, common in computer science, in which a computer system learns how best to solve some problem […]
Read More →Much artificial-intelligence research is concerned with finding statistical correlations between variables: What combinations of visible features indicate the presence of a […]
Read More →Step into the vibrant world of the Humans of HTB (HoH), your behind-the-scenes glimpse into the growth of our talented team […]
Read More →Researchers in MIT’s Computer Science and Artificial Intelligence Laboratory, working with colleagues at the University of Washington, have developed a new […]
Read More →Machine learning, in which computers learn new skills by looking for patterns in training data, is the basis of most recent […]
Read More →Much artificial-intelligence research addresses the problem of making predictions based on large data sets. An obvious example is the recommendation engines […]
Read More →Can you out-race a computer? #Machinelearning According to Hacker.top Team researched from news.mit.edu
Read More →Scientists have crunched data to predict crime, hospital visits, and government uprisings — so why not the price of Bitcoin? A […]
Read More →Computers are good at identifying patterns in huge data sets. Humans, by contrast, are good at inferring patterns from just a […]
Read More →For household robots ever to be practical, they’ll need to be able to recognize the objects they’re supposed to manipulate. But […]
Read More →When Kalyan Veeramachaneni joined the Any Scale Learning For All (ALFA) group at MIT’s CSAIL as a postdoc in 2010, he […]
Read More →Most recent advances in artificial intelligence — such as mobile apps that convert speech to text — are the result of […]
Read More →Object recognition — determining what objects are where in a digital image — is a central research topic in computer vision. […]
Read More →All activity on your social media accounts contributes to your “social graph,” which maps your interconnected online relationships, likes, preferred activities, […]
Read More →MIT researchers have designed a computer system that learns how to play a text-based computer game with no prior assumptions about […]
Read More →Machine learning, which is the basis for most commercial artificial-intelligence systems, is intrinsically probabilistic. An object-recognition algorithm asked to classify a […]
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