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 30, 202433Views0Likes0Comments
MIT researchers have created a microscopic, low-cost cryptographic ID tag, designed to protect products from counterfeiting by providing improved security compared to traditional radio frequency tags (RFIDs). The technology, developed using terahertz waves, can offer a highly secure, low-cost, and easy-to-implement solution in preventing tampering and ensuring product authenticity.
RFID tags typically use radio waves to…
Researchers at Massachusetts Institute of Technology (MIT) have developed a small, low-cost cryptographic ID tag that improves the security of product authentication. The new design mitigates a common security issue where counterfeiters could transfer an ID tag from an authentic product to a fake one, deceiving authentication systems. This ID tag uses terahertz waves and…
Researchers from MIT have developed a cryptographic ID tag that's considerably smaller, more secure, and cost-effective than traditional radio frequency tags (RFIDs) regularly used in product authenticity verification. These ID tags use terahertz waves, which are smaller and have higher frequencies than radio waves, thus being more compact and secure.
An issue with traditional RFIDs is…
When engaging in continuous dialogues, powerful language machine-learning models that drive chatbot technologies such as ChatGPT can struggle to cope, often leading to a decline in performance. Now, a team of researchers from MIT and elsewhere believe they have found a solution to this issue, which ensures chatbots can continue a conversation without crashing or…
A few years ago, MIT researchers created an innovative cryptographic ID tag several times smaller and much cheaper than traditional RFIDs (radio frequency tags) commonly used to authenticate products. Despite the significant improvements in size, cost, and security this new ID tag brought, it shared a major security vulnerability with RFIDs, where a counterfeiter could…
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…
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,…
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…
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…
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…