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A novel approach permits AI chatbots to communicate continuously without experiencing system failures.

Algorithms, Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMay 28, 202435Views0Likes0Comments
Researchers from MIT and other locations have developed a solution to an issue with chatbot performance deterioration following continuous dialogue with a human - a problem attributed to the memory degradation in large language machine-learning models. Their solution, termed StreamingLLM, works by retaining key data points in the memory cache, enabling a chatbot to continue…

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This small, secure ID label has the capability to verify nearly everything.

Artificial Intelligence, Computer chips, Computer science and technology, Electrical Engineering & Computer Science (eecs), Electronics, Internet of things, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Research Laboratory of Electronics, School of Engineering, Sensors, Supply chains, UncategorizedMay 28, 202436Views0Likes0Comments
Researchers from the Massachusetts Institute of Technology (MIT) have developed an antitampering ID tag that uses terahertz waves to make products almost impossible to counterfeit. The tag uses microscopic metal particles mixed with the glue that attaches the tag to a product. The terahertz waves can detect the unique pattern created by the metal particles,…

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The latest model pinpoints medications that should not be combined.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedMay 28, 202438Views0Likes0Comments
Researchers from MIT, Brigham and Women’s Hospital, and Duke University have developed a strategy to identify the transporter proteins used by different drugs to exit the digestive tract. This knowledge could improve patient treatment, as drugs relying on the same transporter can interfere with each other and should not be prescribed together. The researchers adapted…

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Providing individuals grappling with issues the access to Artificial Intelligence.

Algorithms, Alumni/ae, Artificial Intelligence, Data, Innovation and Entrepreneurship (I&E), Machine learning, Media Lab, School of Architecture and Planning, Startups, UncategorizedMay 28, 202436Views0Likes0Comments
In 2010, Media Lab students Karthik Dinakar SM ’12, PhD ’17 and Birago Jones SM ’12 began a project to develop a tool to help content moderators at Twitter (now X) and YouTube spot troubling posts. While preparing for a cyberbullying summit at the White House, they realized that their model was missing nuances in…

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A novel approach allows AI chatbots to engage in conversations continuously without experiencing any failures.

Algorithms, Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMay 28, 202436Views0Likes0Comments
A team of researchers, including those from the Massachusetts Institute of Technology (MIT), have created a system called StreamingLLM that allows chatbots to maintain ongoing dialogues without suffering from performance issues. The method involves a reconfiguration of the model's key-value cache—a form of memory storage—that commonly leads to models failing when the cache is overloaded…

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This small, secure identification label can verify nearly everything.

Artificial Intelligence, Computer chips, Computer science and technology, Electrical Engineering & Computer Science (eecs), Electronics, Internet of things, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Research Laboratory of Electronics, School of Engineering, Sensors, Supply chains, UncategorizedMay 28, 202436Views0Likes0Comments
MIT researchers have developed an antitampering cryptographic ID tag that offers improved security, lower cost and a much smaller size than traditional radio frequency tags. The previous generation of terahertz tags, like radio frequency identifiers (RFIDs), were vulnerable to tampering, as fraudsters could move the tags from genuine to counterfeit goods without the authentication system…

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The new framework identifies medications that must not be combined.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedMay 28, 202435Views0Likes0Comments
A team of researchers from MIT, Brigham and Women’s Hospital, and Duke University have worked together to develop a method for identifying how different drugs exit the digestive system. This is a key question in pharmacology, as it is often associated with drug interactions and efficacy. In this study, the researchers utilized a combination of…

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Implementing AI for individuals who are faced with issues to address.

Algorithms, Alumni/ae, Artificial Intelligence, Data, Innovation and Entrepreneurship (I&E), Machine learning, Media Lab, School of Architecture and Planning, Startups, UncategorizedMay 28, 202436Views0Likes0Comments
In 2010, Media Lab students Karthik Dinakar and Birago Jones began a class project to create a tool for content moderation teams at major corporations like Twitter and YouTube. The technology, which generated significant interest, was presented at a White House cyberbullying summit as a mechanism for identifying concerning posts on social media platforms. During…

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A fresh method enables AI chatbots to engage in conversation throughout the entire day without experiencing a system failure.

Algorithms, Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMay 27, 202436Views0Likes0Comments
Researchers from MIT and other institutions have proposed a solution to the challenge of AI systems losing the context of conversation in extended dialogues. Large language models such as ChatGPT, which enable the functioning of chatbots, often struggle to retain information from long conversations, resulting in rapid performance deterioration. The team has developed a method…

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This small, secure identification marker can verify the authenticity of nearly everything.

Artificial Intelligence, Computer chips, Computer science and technology, Electrical Engineering & Computer Science (eecs), Electronics, Internet of things, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Research Laboratory of Electronics, School of Engineering, Sensors, Supply chains, UncategorizedMay 27, 202438Views0Likes0Comments
Researchers at MIT have developed a new cryptographic ID tag that is cheaper, smaller, and more secure than traditional radio frequency tags (RFIDs). Initially, the researchers developed a tiny tag using terahertz waves, which offered improved security over RFIDs. However, this tag shared a vulnerability with RFID tags: a counterfeiter could peel off the tag…

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The new model highlights medicines that are not advisable to be combined.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedMay 27, 202434Views0Likes0Comments
Scientists from MIT, Brigham and Women’s Hospital, and Duke University have developed a method to track how oral drugs pass through the human digestive tract. This research is considered key as it can help predict potential drug interactions which improve patient treatment. The research used a combination of tissue models and machine learning algorithms. Oral…

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