Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...
SGR turns adversarial shortcuts into teachers, isolating invariant subgraph rationales and delivering the first XGL framework ...
Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...
A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...
Researchers use large language models to streamline nanoscopic material design for advanced optical systems like camera ...
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 ...
New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...
Abstract: In this letter, we propose a Vision Transformer-based Physical Layer Authentication (ViT-PLA) method for industrial wireless networks. To this end, Channel Frequency Response (CFR) samples ...
Abstract: On-chip training is a promising approach for enabling efficient machine learning in localized environments, offering advantages such as reduced dependence on cloud infrastructure, support ...
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