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Have a glance at these innovative 3D printed sneakers conceptualized by AI, brought to you by Nike.

AI, Artificial Intelligence, Culture, Fashion, Mbappe, Nike, Sam Kerr, UncategorizedApril 15, 202438Views0Likes0Comments
Nike has unveiled a revolutionary collection of 13 shoe prototypes, termed the "Athlete Imagined Revolution" (A.I.R.) collection at a dazzling Paris event. The A.I.R. series represents an unprecedented design methodology that expertly blends insights from elite Nike athletes, AI tools, and the latest in digital creation technologies like 3D printing and computational modelling. Nike's designers…

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Innovative Adaptive AI Technologies Improve Digital Assistant Performance: A Major Progress in Independent, Universal Assessment Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 15, 202433Views0Likes0Comments
Digital agents, or software designed to streamline interactions between humans and digital platforms, are becoming increasingly popular due to their potential to automate routine tasks. However, a consistent challenge with these agents is their frequent misunderstanding of user commands or inability to adapt to new or unique environments—problems that can lead to errors and inefficiency.…

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Meta AI Introduces OpenEQA: The Comprehensive Benchmark for Embodied Question Answering with an Open Vocabulary

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 15, 202443Views0Likes0Comments
Large-scale language models (LLMs) have made substantial progress in understanding language by absorbing information from their environment. However, while they excel in areas like historical knowledge and insightful responses, they struggle when it comes to real-time comprehension. Embodied AI, integrated into items like smart glasses or home robots, aims to interact with humans using everyday…

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Google AI presents a proficient machine learning approach to expand Transformer-based extensive language models (LLMs) to accommodate limitlessly long inputs.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 15, 202435Views0Likes0Comments
Memory is a crucial component of intelligence, facilitating the recall and application of past experiences to current situations. However, both traditional Transformer models and Transformer-based Large Language Models (LLMs) have limitations related to context-dependent memory due to the workings of their attention mechanisms. This primarily concerns the memory consumption and computation time of these attention…

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ResearchAgent: Revolutionizing the Domain of Scientific Inquiry via AI-Driven Concept Creation and Progressive Enhancement.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Technology, UncategorizedApril 15, 202443Views0Likes0Comments
Scientific research, despite its vital role in improving human well-being, often grapples with challenges due to its complexities and the slow progress it typically makes. This often necessitates specialized expertise. The application of artificial intelligence (AI), especially large language models (LLMs) is identified as a potential game-changer in the process of scientific research. LLMs have…

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An Comparative Analysis on In-Context Learning Abilities: Investigating the Adaptability of Large Language Models in Regression Tasks

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 15, 202436Views0Likes0Comments
Recent research in Artificial Intelligence (AI) has shown a growing interest in the capabilities of large language models (LLMs) due to their versatility and adaptability. These models, traditionally used for tasks in natural language processing, are now being explored for potential use in computational tasks, such as regression analysis. The idea behind this exploration is…

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CoT Informed by LM: A Unique Machine Learning System Using a Streamlined Language Model (10B) for Logic Problems

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 15, 202437Views0Likes0Comments
Chain-of-thought (CoT) prompting, an instruction method for language models (LMs), seeks to improve a model's performance across arithmetic, commonsense, and symbolic reasoning tasks. However, it falls short in larger models (with over 100 billion parameters) due to its repetitive rationale and propensity to produce unaligned rationales and answers. Researchers from Penn State University and Amazon AGI…

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A computer engineer is expanding the limits of geometric theory.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, MIT Schwarzman College of Computing, Profile, School of Engineering, UncategorizedApril 15, 202443Views0Likes0Comments
Justin Solomon, an associate professor at the Massachusetts Institute of Technology (MIT), is applying modern geometric techniques to solve complex problems in data science, computer graphics, and artificial intelligence. He draws upon the principles of geometry— the study of shapes—pioneered over 2,000 years ago by Greek mathematician Euclid. The relevance of geometric principles extends beyond…

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Narrowing the gap between design and production in the field of optical devices.

Artificial Intelligence, Biological engineering, Computer science and technology, Electronics, Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT.nano, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedApril 15, 202436Views0Likes0Comments
Researchers from MIT and the Chinese University of Hong Kong have developed a machine-learning based digital simulator that can more precisely model specific photolithography manufacturing processes used in creating computer chips and optical devices like lenses. The simulator is designed to help close the gap between design and manufacturing, as tiny deviations during the manufacturing…

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Deep neural networks demonstrate potential in being suitable models for studying human auditory perception.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 15, 202439Views0Likes0Comments
A new study by researchers from the Massachusetts Institute of Technology (MIT) has brought us closer to creating computational models that can mimic the human auditory system in the design of better hearing aids, cochlear implants, and brain-machine interfaces. The research, which is the most extensive of its kind, showed that most deep neural network models…

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The computational model successfully captures the hard-to-detect transition states in chemical reactions.

Artificial Intelligence, Chemical engineering, Chemistry, Machine learning, National Science Foundation (NSF), Research, School of Engineering, School of Science, UncategorizedApril 15, 202442Views0Likes0Comments
During a chemical reaction, molecules gain energy until they reach a point known as the transition state, a pivotal moment where the reaction must proceed. The structures of these states can be determined using quantum chemistry methods, but these calculations are time-intensive. To tackle this issue, a team of MIT researchers developed a machine learning-based…

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