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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, 202440Views0Likes0Comments
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, 202437Views0Likes0Comments
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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The Advancement from Llama 2 to Llama 3: Meta’s Progression in Open-Source Language Models

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 28, 202435Views0Likes0Comments
Meta's advancements in open-source language models (LLMs) have led to the development of the Llama series, providing users with a platform for experimentation and innovation. Llama 2 advanced this pursuit, utilizing 2 trillion tokens of data from publicly available online sources and 1 million human annotations. The program incorporated safety and practicality by employing reinforcement…

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Unleashing the Capabilities of SirLLM: Progress in Enhancing Memory Retention and Attention Systems.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 28, 202432Views0Likes0Comments
The rapid advancement of large language models (LLMs) has paved the way for the development of numerous Natural Language Processing (NLP) applications, including chatbots, writing assistants, and programming tools. However, these applications often necessitate infinite input lengths and robust memory capabilities, features currently lacking in existing LLMs. Preserving memory and accommodating infinite input lengths remain…

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OLAPH: An Innovative AI System Facilitating Enhanced Factual Accuracy via Automated Assessments

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 28, 202436Views0Likes0Comments
Advancements in Large Language Models (LLMs) technology have burgeoned its use in clinical and medical fields, not only providing medical information, keeping track of patient records, but also holding consultations with patients. LLMs are equipped to generate long-form text compatible for responding to patient inquiries in a thorough manner, ensuring correct and instructive responses. To…

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ByteDance Research’s AI Paper Presents G-DIG: A Gradient-Based Breakthrough in Selecting Data for Machine Translation

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 28, 202442Views0Likes0Comments
Machine Translation (MT), part of Natural Language Processing (NLP), aims to automate the translation of text from one language to another using large language models (LLMs). The goal is to improve translation accuracy for better global communication and information exchange. The challenge in improving MT is using high-quality, diverse training data for instruction fine-tuning, which…

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An Extensive Analysis of Studies on Effective Large Multimodal Language Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 28, 202433Views0Likes0Comments
Multimodal large language models (MLLMs) are advanced artificial intelligence structures that combine features of language and visual models, increasing their efficiency across a range of tasks. The ability of these models to handle vast different data types marks a significant milestone in AI. However, extensive resource requirements present substantial barriers to their widespread adoption. Models like…

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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, 202437Views0Likes0Comments
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, 202436Views0Likes0Comments
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, 202437Views0Likes0Comments
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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