Machine learning Archives - Page 73 of 99

Bridging the divide 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 17, 202443Views 0Likes 0Comments

Photolithography is a crucial process in the manufacturing of computer chips and other optical devices, but validity between the design and the final product often falls short due to tiny variations in the manufacturing process. To address this issue, researchers from MIT and the Chinese University of Hong Kong have developed a machine-learning aided digital…

The potential of deep neural networks as models for human auditory perception is quite promising.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 17, 202438Views 0Likes 0Comments

A recent study from MIT has shown that computational models that mimic the structure and function of the human auditory system could significantly aid research into more sophisticated hearing aids, cochlear implants, and brain-machine interfaces. Modern computational models that use machine learning have already made progress in this area. The MIT team carried out the…

A computational model successfully grasps 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 17, 202437Views 0Likes 0Comments

A team of MIT scientists has developed a machine learning-based model to calculate transition states during chemical reactions, a process which normally requires quantum computing and can take hours or even days to complete. Transition states, which inevitably occur during reactions when molecules reach a particular energy threshold, were previously calculated through quantum chemistry’s density…

MIT researchers, utilizing AI, have discovered a new 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 17, 202443Views 0Likes 0Comments

A powerful new class of antibiotics capable of killing drug-resistant bacteria has been discovered by researchers at the Massachusetts Institute of Technology (MIT), by utilizing a subtype of artificial intelligence (AI) known as deep learning. Results from the study, published in the journal Nature, demonstrate the compound's effectiveness against Methicillin-Resistant Staphylococcus Aureus (MRSA), a bacterium…

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 17, 202438Views 0Likes 0Comments

Photolithography, a process used to fabricate computer chips and optical devices, often falls short of designers' intentions due to tiny deviations during manufacturing. To address this, researchers from MIT and the Chinese University of Hong Kong have used machine learning to develop a digital simulator that precisely replicates a specific photolithography manufacturing process. The simulator…

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 17, 202440Views 0Likes 0Comments

A new study from MIT reveals that modern computational models based on machine learning, which mimic the structure and function of the human auditory system, are coming closer to potentially aiding the design of improved hearing aids, cochlear implants, and brain-machine interfaces. The MIT team’s research is the most extensive to date on deep neural networks,…

A computational model successfully records the hard-to-track transitional phases of chemical reactions.

Artificial Intelligence, Chemical engineering, Chemistry, Machine learning, National Science Foundation (NSF), Research, School of Engineering, School of Science, UncategorizedApril 17, 202437Views 0Likes 0Comments

MIT researchers have developed a machine learning-based technique that can rapidly calculate the structures of fleeting transition states during chemical reactions. Identifying and understanding these quasi-instantaneous moments, when molecules have collected enough energy to proceed with reaction, is crucial to fields such as catalyst design and natural system research. With traditional quantum chemistry-based techniques, it…

Three Queries: Improving Final Stage Delivery Logistics Using Machine Learning

Algorithms, Artificial Intelligence, Business and management, Center for Transportation and Logistics, Interview, Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, MIT-IBM Watson AI Lab, Research, School of Engineering, Staff, Supply chains, Transportation, UncategorizedApril 17, 202439Views 0Likes 0Comments

3 Enquiries: Improving final-stage distribution using artificial intelligence learning systems.

Algorithms, Artificial Intelligence, Business and management, Center for Transportation and Logistics, Interview, Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, MIT-IBM Watson AI Lab, Research, School of Engineering, Staff, Supply chains, Transportation, UncategorizedApril 17, 202436Views 0Likes 0Comments

Across the U.S., hundreds of thousands of drivers deliver innumerable parcels daily, with most deliveries taking a few days. Coordinating such a enormous supply chain in a predictable and timely manner is a challenging problem in operations research, particularly optimizing the last leg of delivery routes, which is often the costliest due to factors such…

Investigating the Function of Machine Learning in Anticipating and Mitigating Climate Change

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 16, 202439Views 0Likes 0Comments

Climate change is an impending threat to planet earth and the life on it. Luckily, the integration of machine learning (ML) and artificial intelligence (AI) into related fields offers promising solutions to predict and deal with its impacts more efficiently. ML aids in countering climate challenges by enhancing data analysis, forecasting, system efficiency, and driving…