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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, 202435Views0Likes0Comments
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, 202438Views0Likes0Comments
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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Bridging the gap between design and production for optical instruments

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 14, 202437Views0Likes0Comments
Photolithography is a crucial technique in the production of computer chips and optical devices, but it is susceptible to micro discrepancies which can result in the final devices not performing as designed. MIT and the Chinese University of Hong Kong researchers have helped resolve this issue, using machine learning to create a digital simulator that…

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Neural networks with deep learning capabilities exhibit potential in their application to human auditory models.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 14, 202437Views0Likes0Comments
Researchers from MIT have moved closer to creating computational models that effectively mimic the structure and function of the human auditory system. Utilizing machine learning, they developed models that could help improve hearing aids, cochlear implants, and brain-machine interfaces. The recent study showed that most deep learning models, trained to execute auditory tasks, generated internal…

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The computational model encapsulates 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 14, 202434Views0Likes0Comments
During a chemical reaction, molecules gain energy until they reach a transition state. This is a point from which the reaction must proceed. However, this state is brief and almost impossible to observe experimentally. Traditionally, the structures of these transition states have been calculated with methods rooted in quantum chemistry. This process is extremely time-consuming. The…

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An adaptable approach designed to assist creators in enhancing their animation skills.

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 14, 202444Views0Likes0Comments
MIT researchers have developed a technique that could revolutionize the animation industry by giving artists more flexibility in how they animate characters. Instead of sticking to a single conventional measurements or mathematical functions called barycentric coordinates, the new method allows the artist to experiment with different movements and expressions, specific to each individual animation. This…

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Bridging the gap between the design and manufacturing 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 14, 202436Views0Likes0Comments
Photolithography is a manufacturing process that uses light to precisely etch features onto surfaces, such as producing computer chips and optical devices. However, small imprecisions in the process can sometimes result in devices not being produced to specifications. To close this gap, researchers from MIT and the Chinese University of Hong Kong are employing machine…

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Promising signs of modeling human hearing are displayed by deep neural networks.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 14, 202434Views0Likes0Comments
A new study from the Massachusetts Institute of Technology (MIT) has found that modern computational models based on machine learning and structured similarly to the human auditory system could assist researchers in developing better hearing aids, cochlear implants, and brain-machine interfaces. The largest study of its kind on deep neural networks trained for auditory tasks…

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The computational model accurately represents the hard-to-detect transitional phases of chemical reactions.

Artificial Intelligence, Chemical engineering, Chemistry, Machine learning, National Science Foundation (NSF), Research, School of Engineering, School of Science, UncategorizedApril 14, 202435Views0Likes0Comments
An MIT research team has developed an approach that quickly calculates the structure of transition states fundamental in chemical reactions - the fleeting and typically unobservable point that determines whether a reaction proceeds. This new machine learning-based model could assist in developing new reactions and catalysts for creating materials like fuels or drugs, and might…

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An adaptable method designed to assist animators in enhancing their work.

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 14, 202432Views0Likes0Comments
A new technique developed by researchers at MIT gives animators more control over their creations by generating mathematical functions that determine how 2D and 3D shapes can bend, stretch and move through space. These functions, called barycentric coordinates, provide enhanced flexibility as opposed to traditional methods that restrict artists to a single option for shape-motion…

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Bridging the gap between the design and production stages for 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 13, 202438Views0Likes0Comments
Researchers from MIT and the Chinese University of Hong Kong have leveraged machine learning to construct a digital simulator to enhance the precision of photolithography and bridge the gap between design and manufacturing. Photolithography, a crucial manufacturing process in computer chip production and optical device fabrication, suffers from slight deviations that can lead to shortcomings…

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Narrowing the distance between design and production for optical instruments.

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, 202436Views0Likes0Comments
Photolithography, a technique used to etch precise features onto surfaces for the creation of computer chips and optical devices, is often inaccurately executed due to tiny deviations during manufacturing. In an attempt to bridge this gap between design and production, a team of researchers from MIT and the Chinese University of Hong Kong have developed…

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