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The latest design determines medications that are unsafe to combine.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedMay 31, 202437Views0Likes0Comments
A novel approach developed by researchers at MIT, Brigham and Women’s Hospital, and Duke University helps identify the transporters used by various drugs to pass through the digestive tract, thus enhancing patient treatment. The method uses both tissue models and machine-learning algorithms. This can play an instrumental role in mitigating possible drug interference that occurs…

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The Advent of Extremely Compact Language Models (STLMs) for Eco-friendly AI Revolutionizes the Field of NLP.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 31, 202437Views0Likes0Comments
Large Language Models (LLMs) have transformed natural language processing (NLP), making related applications such as machine translation, sentiment analysis, and conversational agents more precise and efficient. However, the significant computational and energy needs of these models have raised sustainability and accessibility concerns. LLMs, containing billions of parameters, need extensive resources for training and implementation. Their high-level…

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This small, secure identification marker can validate 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 31, 202437Views0Likes0Comments
Researchers at MIT have developed a new ID tag that leverages terahertz waves to offer a superior level of security compared to the traditional radio frequency tags (RFIDs), and at a significantly cheaper cost. This breakthrough was achieved by incorporating microscopic metal particles into the adhesive that binds the tag to a product. The terahertz…

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The new version determines 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 31, 202435Views0Likes0Comments
Researchers from MIT, Brigham and Women’s Hospital, and Duke University have developed a system that identifies the transporters used by different drugs to exit the digestive tract. This can help improve drug treatment as it shows which medications could potentially interfere with one another. It also enables drug developers to increase drug absorbability by creating…

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