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The language network in the brain is taxed more heavily by complicated sentences that aren’t easily recognized.

Artificial Intelligence, Brain and cognitive sciences, Computer science and technology, Language, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Neuroscience, Research, School of Engineering, School of Science, UncategorizedApril 24, 202453Views0Likes0Comments
MIT researchers have used an artificial language network to decipher which types of sentences activate the brain's language processing centers most effectively. Their study reveals that sentences of higher complexity with unusual grammar or unexpected meanings engage these centers to a greater degree than straightforward sentences or nonsensical series of words. Their findings are based…

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This small chip can protect user information while promoting effective computation on a mobile phone.

Artificial Intelligence, Computer science and technology, Cybersecurity, Data, Electrical Engineering & Computer Science (eecs), Electronics, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Privacy, Research, School of Engineering, UncategorizedApril 23, 202454Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have developed a machine-learning accelerator that is resistant to the two most common types of cyber attacks. This development is a major leap forward in data and information security within devices using machine-learning applications. The chip can protect sensitive user information such as health records and…

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DARPA conducted trials involving an AI-controlled F-16 jet in a simulated air-to-air combat against a human opponent.

AI race, Defense, Industry, Machine learning, UncategorizedApril 23, 202458Views0Likes0Comments
The Defense Advanced Research Projects Agency (DARPA) has disclosed the first-in-air trial of an AI-piloted jet in a simulated combat against a human-operated F-16. The AI pilot performance was demonstrated at the Air Force Test Pilot School at Edwards Air Force Base, California in September 2023 but was only recently announced. The AI system, developed…

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MIT researchers employ AI to discover a potential new category of antibiotics.

Antibiotics, Artificial Intelligence, Biological engineering, Broad Institute, Drug discovery, Drug resistance, Institute for Medical Engineering and Science (IMES), Jameel Clinic, Machine learning, Research, School of Engineering, UncategorizedApril 22, 202450Views0Likes0Comments
MIT researchers have used a form of artificial intelligence called deep learning to identify a new classification of compounds that can effectively kill methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium accountable for over 10,000 deaths in the US each year. The researchers have demonstrated that these deep-learning-identified compounds not only have the ability to kill…

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MIT scientists employ Artificial Intelligence to uncover a fresh category of potential antibiotics.

Antibiotics, Artificial Intelligence, Biological engineering, Broad Institute, Drug discovery, Drug resistance, Institute for Medical Engineering and Science (IMES), Jameel Clinic, Machine learning, Research, School of Engineering, UncategorizedApril 22, 202450Views0Likes0Comments
MIT researchers have utilized deep learning, a form of artificial intelligence, to discover a series of compounds capable of killing a drug-resistant bacterium responsible for over 10,000 deaths in the United States annually. The research, published in Nature, demonstrates these compounds can kill methicillin-resistant Staphylococcus aureus (MRSA) in lab dishes and two mouse models. Apart…

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Formal Interaction Model (FIM): A mathematically driven machine learning model which articulates the mutual influence between AI systems and their users.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 21, 202458Views0Likes0Comments
Machine learning is the driving force behind data-driven, adaptive, and increasingly intelligent products and platforms. Algorithms of artificial intelligence (AI) systems, such as Content Recommender Systems (CRS), intertwine with users and content creators, in turn shaping viewer preferences and the available content on these platforms. However, the current design and evaluation methodologies of these AI systems…

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Scientists at Stanford University are investigating Direct Preference Optimization (DPO), opening up fresh prospects in the field of machine learning and human feedback.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 21, 202453Views0Likes0Comments
Exploring the interactions between reinforcement learning (RL) and large language models (LLMs) sheds light on an exciting area of computational linguistics. These models, largely enhanced by human feedback, show remarkable prowess in understanding and generating text that mirrors human conversation. Yet, they are always evolving to capture more subtle human preferences. The main challenge lies…

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