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’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 ...
Abstract: Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of ...
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Stride in CNNs: The key tweak that matters
In this video, we will understand what is Stride in Convolutional Neural Network. While performing Convolution operation on ...
Abstract: Convolution processing plays a pivotal role in convolutional neural networks (CNNs), which are widely utilized in image recognition, signal processing, and other applications that demand ...
Florida researchers develop optoelectronic silicon chip to perform convolution operations for artificial intelligence. Turning light-encoded data into instant convolution results. Artificial ...
Artificial intelligence (AI) systems are increasingly central to technology, powering everything from facial recognition to language translation. But as AI models grow more complex, they consume vast ...
A new semiconductor chip fabricates miniature lenses on the chip to perform calculations using light instead of electricity, greatly increasing the power efficiency and reducing the computational run ...
When I use quantized::conv2d in my model I noticed that a quantized convolution layer still keeps its scale parameter as a floating-point value. I think this scale is used to requantize the ...
Introduction: The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on ...
Event-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in ...
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