Researchers at MIT have developed a cryptographic ID tag that is significantly smaller, cheaper, and more secure than traditional radio frequency identification (RFID) tags. The new tag is based on the use of terahertz waves which are smaller and have much higher frequencies than radio waves.
The innovation overcomes a major security flaw common with…
Researchers from MIT and other institutions have developed a method that enables a chatbot to carry on unbroken conversation without crashing or losing performance. This method, named StreamingLLM, involves a tweak to the key-value cache, a form of "conversation memory", that helps AI operate. The team found when the cache became too full, the first…
MIT researchers have created a secure and portable ID tag, utilizing terahertz waves, a technology considered superior compared to traditional RFIDs due to the improved security it offers. The team has bypassed the significant vulnerability of both RFID and terahertz tags, where a counterfeiter can remove the tag from an original item and transfer it…
Researchers from MIT and other institutions have discovered the key to why AI chatbot conversations can break down and developed a solution that enables continuous dialogue. The issue lies in the chatbot's key-value cache (akin to a conversational memory). In some models, earlier data points are discarded when the cache reaches its limit, causing the…
The MIT Morningside Academy for Design (MAD) unveiled the 2024 Design Fellows at an event held at the MIT Museum on May 1, 2024. The Academy has continually supported MIT graduate students since its inception in 2022 by providing them with a fellowship enabling the pursuit of design research and projects, along with community-building. Interns…
A team of researchers from MIT and other institutions have found a way to prevent chatbots driven by large language machine-learning models from collapsing during lengthy conversations. The failure typically occurs when the key-value cache, or "conversation memory", in some methods cannot contain more information than its capacity, resulting in the first data points being…
Research from MIT and other institutions has developed a method, called StreamingLLM, that enables AI chatbots to maintain continuous dialogue without crashing or slowing down. The technique tweaks the key-value cache or conversation memory at the core of large language models. Failure often occurs when this cache needs to store more information than it can…
A team of researchers from MIT and other institutions has discovered a key issue with large-scale machine learning models causing chatbot performance to degrade. When engaged in extensive dialogues, the huge language models behind bots like ChatGPT sometimes begin to fail. However, the team devised a solution enabling nonstop conversation without deterioration or lag. The…
When engaging in lengthy dialogues, advanced AI-powered chatbots often become inept, resulting in a significant performance downturn. A team of researchers from MIT alongside others have deduced a reason for this issue and devised a straightforward solution to prevent the bot from crashing or slowing down. The method, StreamingLLM, effectively ensures a continuous discussion irrespective…
A team of researchers from MIT and other institutions has discovered a remarkable cause of performance deterioration in chatbots and found a simple solution that allows persistent, uninterrupted dialogue. This problem occurs when human-AI interaction involves continuous rounds of conversation, which can overburden the large language machine-learning models that power chatbots like ChatGPT.
The researchers have…