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A versatile answer designed 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 15, 202473Views0Likes0Comments
Researchers from MIT have developed a method that could provide animators with greater control over their animations. This new technique generates mathematical functions known as barycentric coordinates, which define how 2D and 3D shapes can bend, stretch, and move through space. This allows the artist to determine the movements of animated objects according to their…

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Premier Coursera Courses on Artificial Intelligence (AI)

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 15, 202481Views0Likes0Comments
Coursera, an online learning platform, offers a wide range of AI courses in partnership with top universities and industry leaders. The courses cover various aspects and applications of AI, from machine learning and deep learning to AI's application in diverse fields such as medicine and business. The course "AI For Everyone by DeepLearning.AI" is taught…

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Premier Courses on Artificial Intelligence (AI) Available on Coursera

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 15, 202463Views0Likes0Comments
Artificial Intelligence (AI) holds the potential to revolutionize various industries, with online platform Coursera offering an extensive range of AI courses, in partnership with top-tier institutions and industry leaders. Courses are available for learners at every level, from beginners starting their journey in AI to professionals furthering their advanced expertise. AI For Everyone by DeepLearning.AI…

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Binary MRL, a novel embeddings compression method has been introduced by MixedBread AI which provides scalability for vector search and enables applications based on embeddings.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, New Releases, Staff, Tech News, Technology, UncategorizedApril 15, 202461Views0Likes0Comments
MixedBread.ai, known for its work in artificial intelligence, has come up with a novel method called Binary Matryoshka Representation Learning (Binary MRL) for reducing the size of the memory footprint of embeddings used in natural language processing (NLP) applications. Embeddings are crucial to various functions in NLP such as recommendation systems, retrieval processes, and similarity…

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Must-Read Data Analytics Books for 2024

Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 15, 202465Views0Likes0Comments
In an age dominated by data, data analytics has emerged as a critical tool for organizations, assisting in more informed decision-making, pinpointing opportunities, and lessening risks. Proficiency in data analysis allows businesses to understand customer behavior and market trends, which in return improves performance rates. This has led to an increased demand for adept analysts.…

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A computer technologist advances 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 15, 202468Views0Likes0Comments
Justin Solomon, an Associate Professor in the MIT Department of Electrical Engineering and Computer Science (EECS), is using geometric techniques to solve complex computing problems. Solomon says this method is ideally suited to finding solutions in data science, as it can enable a deeper understanding of the distances, similarities, curvature and shape data. About half…

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Bridging the gap between designing and manufacturing 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 15, 202473Views0Likes0Comments
Researchers from the Massachusetts Institute of Technology (MIT) and the Chinese University of Hong Kong have developed a digital simulator using machine learning to optimize the manufacturing process used in fabricating devices like computer chips and lenses. This technology, known as photolithography, manipulates light to precisely etch features onto a surface, but minute deviations can…

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Deep neural networks demonstrate potential in simulating human auditory systems.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 15, 202471Views0Likes0Comments
A new study by MIT researchers reveals that computational models derived from machine learning, similar to the human auditory system, could significantly enhance the development of hearing aids, cochlear implants, and brain-machine interfaces. This is the largest study so far that delves into deep neural networks trained to perform auditory tasks. These models produced internal…

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The computational model successfully documents the hard-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 15, 202471Views0Likes0Comments
During a chemical reaction, molecules gain energy until they reach a position termed the transition state. Existing at a level of energy where the reaction has no choice but to proceed, the transition state's transient nature makes it extremely difficult to observe experimentally. Its structures can be calculated using quantum chemistry-based techniques, but these are…

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A versatile approach to assist artists 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 15, 202468Views0Likes0Comments
Researchers at Massachusetts Institute of Technology (MIT) have introduced a new technique for animating characters in movies and video games which allows artists greater flexibility and control. The method works by generating mathematical functions called barycentric coordinates to define how 2D and 3D shapes can move, stretch, and bend within space. Animation techniques currently available can…

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Google AI presents CodecLM: A framework based on machine learning for the creation of superior synthetic data used for LLM alignment.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 14, 202459Views0Likes0Comments
Large Language Models (LLMs), known for their key role in advancing natural language processing tasks, continue to be polished to better comprehend and execute complex instructions across a range of applications. However, a standing issue is the tendency for LLMs to only partially follow given instructions, a shortcoming that results in inefficiencies when the models…

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Revealing Gamer Insights: A Unique Machine Learning Technique to Decode Gaming Conduct

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 14, 202466Views0Likes0Comments
The world of mobile gaming is persistently evolving, with a continually intense focus on creating personalized and engaging experiences. Traditional methodologies to decipher player behaviour have become grossly inadequate due to the rapidly paced, dynamic nature of gaming. Researchers from KTH Royal Institute of Technology, Sweden, have proposed an innovative solution. A paper released by the…

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