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The latest model recognizes 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 25, 202438Views0Likes0Comments
Oral drugs must pass through the lining of the digestive tract to be absorbed into the bloodstream and take effect. Certain proteins present in the cells lining the digestive tract, known as transporters, aid this process, but for many drugs, the specific transporters they utilize are unknown. This knowledge could enhance patient treatment regimens as…

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A Proficient AI Method for Decreasing Memory Usage and Improving Throughput in LLMs

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 24, 202440Views0Likes0Comments
Large language models (LLMs) play a crucial role in a range of applications, however, their significant memory consumption, particularly the key-value (KV) cache, makes them challenging to deploy efficiently. Researchers from the ShanghaiTech University and Shanghai Engineering Research Center of Intelligent Vision and Imaging offered an efficient method to decrease memory consumption in the KV…

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Comparing Human Intelligence with GPT-4 and LLaMA-2: A Look at the Theory of Mind

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 24, 202434Views0Likes0Comments
The increasing sophistication of artificial intelligence and large language models (LLMs) like GPT-4 and LLaMA2-70B has sparked interest in their potential to display a theory of mind. Researchers from the University Medical Center Hamburg-Eppendorf, the Italian Institute of Technology, Genoa, and the University of Trento are studying these models to assess their capabilities against human…

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Investigating the Boundaries of Artificial Intelligence: An In-depth Study on Reinforcement Learning, Generative Adversarial Networks, and the Moral Considerations in Current AI Systems

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 24, 202436Views0Likes0Comments
Artificial Intelligence (AI) is increasingly transforming many areas of modern life, significantly advancing fields such as technology, healthcare, and finance. Within the AI landscape, there has been significant interest and progress regarding Reinforcement Learning (RL) and Generative Adversarial Networks (GANs). They represent key facilitators of major changes in the AI area, enabling advanced decision-making processes…

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Cohere AI has launched Aya23 models, a revolutionary multilingual NLP with 8B and 35B parameter models.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 24, 202439Views0Likes0Comments
Natural Language Processing (NLP) is a critical field that allows computers to comprehend, interpret, and generate human language. This translates to tasks such as language translation, sentiment analysis, and text generation, creating systems that can interact effectively with humans through language. However, carrying out these tasks demands complex models able to cope with aspects of…

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Cohere AI Introduces Aya23 Models: Revolutionary Multilingual NLP with 8B and 35B Parameter Models

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 24, 202433Views0Likes0Comments
Natural language processing (NLP) refers to a field of computer science concerned with enabling computers to understand, interpret, and generate human language. Tasks encompassed in this area include language translation, sentiment analysis, and text generation. The primary objective is creating systems capable of interacting with humans using language fluently. However, achieving this requires developing complex…

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A novel method enables AI chatbots to engage in conversation throughout the day without experiencing any breakdowns.

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 24, 202438Views0Likes0Comments
Researchers from MIT and other institutions have developed a method to prevent chatbot performance from deteriorating during prolonged human-AI interactions. The method, called StreamingLLM, is based on a slight modification to the crucial key-value cache (KV Cache) that is central to large language models employed by many AI-driven platforms. The KV Cache, similar to a…

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A novel method enables AI chatbots to engage in conversation throughout the day without experiencing any shutdowns.

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 24, 202441Views0Likes0Comments
Researchers from the Massachusetts Institute of Technology (MIT) and partner organizations have developed a solution to address a key issue limiting the effectiveness of AI chatbots. Large language machine-learning models, such as ChatGPT, often crash or slow down during extended rounds of dialogue with humans. The study identified the cause of this problem as the…

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This small, secure identification label has the capacity to validate nearly 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, UncategorizedMay 24, 202437Views0Likes0Comments
A group of researchers from the Massachusetts Institute of Technology (MIT) have developed a revolutionary anti-tampering ID tag. Notably smaller and significantly less expensive than traditional radio frequency identification (RFID) tags, this evolution could revolutionize the way technology authenticates the legitimacy of a product. But how does it secure itself from the common issue of…

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This compact, secure identification label has the capacity 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 24, 202434Views0Likes0Comments
A team of MIT researchers has created a cryptographic ID tag that boasts several advantages over existing technologies - spurring hope it will revolutionize supply chain verification. The tag is several times smaller, much cheaper, and offers better security than the radio frequency identification (RFID) tags currently used for product verification. The new tag uses…

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The new system 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 24, 202436Views0Likes0Comments
Researchers from MIT, Brigham and Women’s Hospital, and Duke University have developed a system using tissue models and machine-learning algorithms to identify how different drugs navigate through the lining of the digestive tract, which could have significant implications for the world of medicine. Orally-taken drugs often rely on transporter proteins within the digestive tract's cells to…

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