A research team led by Zhiping Weng, Ph.D., and Jill Moore, Ph.D."18, at UMass Chan Medical School, has nearly tripled the ...
Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
First discovered in the 1950s, NGF is now known to direct the growth, maintenance, proliferation and preservation of neurons ...
Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...
MicroCloud Hologram’s approach uses a logarithmic encoding method to reduce the number of qubits needed, representing an N-dimensional feature space using just log (N) qubits. The system forms an ...
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 ...
WiMi Hologram Cloud Inc. (NASDAQ: WiMi) focuses on holographic cloud services, primarily concentrating on professional fields such as in-vehicle AR holographic HUD, 3D holographic pulse LiDAR, ...
Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...
1 College of Electronic Science and Technology, National University of Defense Technology, Changsha, China 2 College of Electronics and Internet of Things, Chongqing Polytechnic University of ...
Abstract: Convolutional neural networks (CNNs) and graph neural networks (GNNs) are two widely used architectures in hyperspectral image (HSI) classification. Most CNN models tend to heavily rely on ...
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