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10h
Tech Xplore on MSNAI model based on neural oscillations delivers stable, efficient long-sequence predictionsResearchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial ...
A new study in Human Gene Therapy describes a machine learning (ML) model that can be used as a surrogate for laborious in ...
A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of ...
A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline ...
A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...
12d
Tech Xplore on MSNPredicting material failure: Machine learning spots early abnormal grain growth signs for safer designsA team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time—a development that could lead to the creation of ...
Researchers developed a machine-learning model that can predict the structures of transition states of chemical reactions in less than a second, with high accuracy. Their model could make it easier ...
A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.
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