WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...
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 ...
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 ...
Abstract: The problem of image segmentation is one of the most significant ones in computer vision. Recently, deep-learning methods have dominated state-of-the-art solutions that automatically or ...
Abstract: The data-driven inversion methods based on deep learning (DL) for gravity and magnetic data have been well studied in existing literature due to their advantages such as less constraint ...
The parabolic equation (PE) serves as a fundamental methodology for modeling underwater acoustic propagation. The computational efficiency of this approach derives from the far-field approximation of ...
Begin the round outside and must infiltrate the building to complete the objective. Most attacking gadgets revolve around breaching, mobility, and intelligence gathering. Begin the round inside the ...
Abstract: Currently, machine learning-based methods for remote sensing pansharpening have progressed rapidly. However, existing pansharpening methods often do not fully exploit differentiating ...
Official Pytorch implementation of "CSformer: Bridging Convolution and Transformer for Compressive Sensing" published in IEEE Transactions on Image Processing (TIP). Checkpoints trained on CoCo ...
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