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This Artificial Intelligence research investigates how greatly Language Models can enhance their performance as agents in lengthy tasks within a complex environment using the WebArena Benchmark.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 3, 202432Views0Likes0Comments
Large Language Models (LLMs) have shown great potential in natural language processing tasks such as summarization and question answering, using zero-shot and few-shot prompting approaches. However, these prompts are insufficient for enabling LLMs to operate as agents navigating environments to carry out complex, multi-step tasks. One reason for this is the lack of adequate training…

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The latest model recognizes 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, UncategorizedJune 3, 202441Views0Likes0Comments
Researchers from MIT, Brigham and Women’s Hospital, and Duke University have pioneered a multifaceted approach to determine the transporters used by various drugs to exit the digestive tract. Leveraging tissue models and machine-learning algorithms, the team has discovered that doxycycline (an antibiotic) and warfarin (a blood thinner) can interfere with each other’s absorption. All orally consumed…

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A methodology for enhancing the efficiency of versatile robots.

Aeronautical and astronautical engineering, Artificial Intelligence, Brain and cognitive sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Robotics, Robots, School of Engineering, UncategorizedJune 3, 202432Views0Likes0Comments
MIT researchers have developed a technique to train robots on multiple tasks by combining and optimising data from a variety of sources. At the core of their work is a type of generative AI known as a 'diffusion model', which learns from a specific dataset to complete a task. However, the particular innovation here lies…

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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, UncategorizedJune 3, 202438Views0Likes0Comments
A team of MIT researchers have developed a novel cryptographic ID tag to tackle product counterfeiting. This tag, which is remarkably smaller and cost-efficient than traditional radio frequency tags (RFIDs), uses terahertz waves to perform authentication. The small size of terahertz waves and their greater frequency compared to radio waves make them ideal for this…

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The new framework 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, UncategorizedJune 3, 202437Views0Likes0Comments
Drugs taken orally must pass through the digestive tract, aided by transporter proteins found in the lining of the tract. If two drugs use the same transporter, they can interfere with each other. Addressing this issue, a team of researchers from MIT, Brigham and Women’s Hospital, and Duke University have developed a strategy to identify…

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Empowering individuals facing challenges with the utilization of artificial intelligence.

Algorithms, Alumni/ae, Artificial Intelligence, Data, Innovation and Entrepreneurship (I&E), Machine learning, Media Lab, School of Architecture and Planning, Startups, UncategorizedJune 3, 202427Views0Likes0Comments
In 2010, MIT Media Lab students Karthik Dinakar and Birago Jones initiated a project to develop a tool that could assist content moderation teams at firms such as Twitter and YouTube. They were invited to showcase their innovation at a White House summit on cyberbullying, however, the demo failed to identify problematic posts because of…

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Ant Group Introduces MetRag: A Multi-Level Thought-Boosted Retrieval Augmented Generation Structure

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 2, 202437Views0Likes0Comments
Researchers in the field of Artificial Intelligence (AI) have made considerable advances in the development and application of large language models (LLMs). These models are capable of understanding and generating human language, and hold the potential to transform how we interact with machines and handle information-processing tasks. However, one persistent challenge is their performance in…

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This miniature, tamper-resistant identification label has the potential to validate virtually anything.

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, UncategorizedJune 2, 202438Views0Likes0Comments
MIT researchers have developed an anti-tampering ID tag that provides improved security compared to traditional radio frequency ID (RFID) tags that are commonly used for authentication. The new tag, which is smaller, cheaper, and more secure than RFIDs, uses terahertz (THz) waves for authentication. However, like traditional RFIDs, it faced a vulnerability where counterfeiters could…

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