Complex-valued neural networks represent an evolving frontier where the intrinsic properties of complex numbers—magnitude and phase—are harnessed to develop richer and more robust representations of ...
Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. The researchers at the Max Planck Institute for ...
With most computer programs—even complex ones—you can meticulously trace through the code and memory usage to figure out why that program generates any specific behavior or output. That’s generally ...
A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive ...
Researchers at the Max Planck Institute for the Science of Light (MPISL), Erlangen, Germany, have developed a new approach to implementing a neural network with an optical system. They say that this ...
Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
Discover how groundbreaking insights into thalamic connectivity are reshaping treatment approaches for essential tremor, paving the way for personalized and more effective DBS therapies. Study: ...
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