neural

22 Articles
‘Optical neural engine’ can solve partial differential equations
Tech

‘Optical neural engine’ can solve partial differential equations

The researchers’ device applies principles of neural networking to an optical framework. As a wave encoded with a PDE passes through the ONE’s...

Physics-informed neural network significantly boosts battery diagnostics
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Physics-informed neural network significantly boosts battery diagnostics

NREL’s battery researchers are turning to cutting-edge artificial intelligence models to optimize battery performance for a new generation of energy storage. Credit: Werner...

Neural networks speed up search for solid-state battery materials for safer electric cars with extended range
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Neural networks speed up search for solid-state battery materials for safer electric cars with extended range

Machine learning speeds up a key stage in the search for materials for protective electrolyte coatings for solid-state batteries, a promising energy storage...

Graph neural networks show promise for detecting money laundering and collusion in transaction webs
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Graph neural networks show promise for detecting money laundering and collusion in transaction webs

The tasks of GNNs at different levels. For node level, the label of each node is determined by its features and neighbors. For...

‘Bridge doctor’ combines imaging, neural network to efficiently evaluate concrete bridges’ safety
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‘Bridge doctor’ combines imaging, neural network to efficiently evaluate concrete bridges’ safety

Credit: Unsplash/CC0 Public Domain Necati Catbas collaborated with his former civil engineering student Marwan Debees, Ph.D., who now works as a NASA Bridge...

A new neural network paradigm
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A new neural network paradigm

Comparison between classic Hopfield and IDP Hopfield models. Credit: Science Advances (2025). DOI: 10.1126/sciadv.adu6991 Listen to the first notes of an old, beloved...

Scientists develop new mathematical model for transfer learning in neural networks
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Scientists develop new mathematical model for transfer learning in neural networks

Credit: Pixabay/CC0 Public Domain Alessandro Ingrosso, researcher at the Donders Institute for Neuroscience, has developed a new mathematical method in collaboration with colleagues...

AI model based on neural oscillations delivers stable, efficient long-sequence predictions
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AI model based on neural oscillations delivers stable, efficient long-sequence predictions

Schematic drawing of the proposed Linear Oscillatory State-Space model (LinOSS). Credit: arXiv (2024). DOI: 10.48550/arxiv.2410.03943 Researchers from MIT’s Computer Science and Artificial Intelligence...

Novel out-of-core mechanism introduced for large-scale graph neural network training
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Novel out-of-core mechanism introduced for large-scale graph neural network training

Schematic Diagram: Capsule System Workflow Framework. Credit: Image by USTC A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN...