Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
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 ...
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 ...
A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive ...
Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...
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 ...
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 ...
Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...
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 ...
The AI HAT+ is specifically designed for high-performance AI tasks, using its robust processing capabilities to handle complex operations such as real-time image processing. A standout feature of this ...
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