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Deep neural networks exhibit potential as representations of human auditory perception.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 13, 202437Views0Likes0Comments
A team of researchers from the Massachusetts Institute of Technology (MIT) has been investigating computational models that are designed to mimic the structure and function of the human auditory system. They claim that these models could have future applications in the development of more advanced hearing aids, cochlear implants, and brain-machine interfaces. In a study that…

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The computational model grasps the hard-to-capture transition phases of chemical reactions.

Artificial Intelligence, Chemical engineering, Chemistry, Machine learning, National Science Foundation (NSF), Research, School of Engineering, School of Science, UncategorizedApril 13, 202432Views0Likes0Comments
During a chemical reaction, molecules gain energy until they reach what is known as the transition state — a point at which the reaction must proceed. This state is extremely short-lived and nearly impossible to observe experimentally. Its structures can be calculated using quantum chemistry techniques, but these methods are very time-consuming. Recently, a team of…

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A versatile approach to assist animators in enhancing their artwork.

Algorithms, Artificial Intelligence, Arts, Augmented and virtual reality, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Mathematics, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, UncategorizedApril 13, 202448Views0Likes0Comments
A new technique developed by researchers from MIT promises to revolutionize how artists animate characters in video games and animated films. Utilizing mathematical functions called barycentric coordinates, which define how 2D and 3D shapes can move, bend, and stretch in space, will give animators greater control over the motion of characters. Traditional animating methods often provide…

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Samba-CoE v0.3: Transforming AI Efficiency through Enhanced Routing Abilities.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, New Releases, Staff, Tech News, Technology, UncategorizedApril 13, 202439Views0Likes0Comments
SambaNova has unveiled its latest Composition of Experts (CoE) system, the Samba-CoE v0.3, marking a significant advancement in the effectiveness and efficiency of machine learning models. The Samba-CoE v0.3 demonstrates industry-leading capabilities and has outperformed competitors such as DBRX Instruct 132B and Grok-1 314B on the OpenLLM Leaderboard. Samba-CoE v0.3 unveils a new and efficient routing…

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Deep Learning Structures: A Study of CNN, RNN, GAN, Transformers, and Encoder-Decoder Configurations

AI Shorts, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 13, 202435Views0Likes0Comments
Deep learning architectures have greatly impacted the field of artificial intelligence due to their innovative problem-solving capabilities across various sectors. This article discussed some prominent deep learning architectures: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transformers, and Encoder-Decoder architectures. These different architectures were analyzed based on their unique characteristics, applications,…

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Cohere AI introduces Rerank 3: An innovative base model created to enhance enterprise search and enhance Retrieval Augmented Generation (RAG) systems.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, New Releases, Staff, Tech News, Technology, UncategorizedApril 13, 202434Views0Likes0Comments
Artificial Intelligence (AI) company Cohere has launched Rerank 3, an advanced foundation model designed to enhance enterprise search and Retrieval Augmented Generation (RAG) systems, promising superior efficiency, accuracy, and cost-effectiveness than its earlier versions. The key beneficiaries of Rerank 3 are enterprises grappling with vast and diverse semi-structured data, such as emails, invoices, JSON documents,…

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A computer scientist is expanding the limits of geometry.

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 13, 202438Views0Likes0Comments
Justin Solomon, an associate professor at the Massachusetts Institute of Technology (MIT) Department of Electrical Engineering and Computer Science, is applying modern geometric techniques to solve complex problems in machine learning, data science, and computer graphics. He leads the Geometric Data Processing Group, half of which works on optimizing two- and three-dimensional geometric data in…

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Bridging the gap between design and production for optical equipment.

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 13, 202437Views0Likes0Comments
Researchers from MIT and the Chinese University of Hong Kong are using machine learning to close the gap between design and manufacturing processes in photolithography - a method used in the creation of computer chips and optical devices. Photolithography involves using light to etch features onto a surface. However, tiny variations during production often lead…

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Deep neural networks demonstrate potential in simulating human auditory perception.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 13, 202437Views0Likes0Comments
A study by Massachusetts Institute of Technology (MIT) shows that machine learning-based computational models are making strides towards mimicking the human auditory system, potentially improving the design of devices like hearing aids and cochlear implants. The research indicated that these models’ internal data structures have similarities to those seen in the human brain in response…

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The computational model successfully records the difficult-to-detect transition phases of chemical reactions.

Artificial Intelligence, Chemical engineering, Chemistry, Machine learning, National Science Foundation (NSF), Research, School of Engineering, School of Science, UncategorizedApril 13, 202434Views0Likes0Comments
Chemical reactions reach a 'transition state' when molecules gain enough energy for the reaction to proceed. This state is brief and hard to observe experimentally. The arrangement of these transition states can be calculated through quantum chemistry, but it is highly time-consuming. Scientists at MIT have developed a faster method using machine learning which computes…

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An adaptable approach to assist creators in enhancing animation.

Algorithms, Artificial Intelligence, Arts, Augmented and virtual reality, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Mathematics, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, UncategorizedApril 13, 202438Views0Likes0Comments
A group of MIT researchers have developed a technique that will allow artists better control over their 3D animations. The method uses mathematical functions known as barycentric coordinates, allowing 3D shapes to be manipulated. This offers more flexibility than traditional animation methods, which require starting from scratch for every change in animation. The developed method…

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Scientific researchers at Apple have proposed a new group of image-text models known as MobileCLIP. They are optimized for real-time performance by implementing multi-modal strengthened training.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 12, 202439Views0Likes0Comments
In the realm of Multi-modal learning, large image-text foundational models have shown remarkable zero-shot performance and enhanced stability across a multitude of downstream tasks. These models, like Contrastive Language-Image Pretraining (CLIP), have notably improved Multi-modal AI due to their capability to simultaneously assess both images and text. A variety of architectures have recently been shown…

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