WiMi Develops Quantum Convolutional Neural Network Model for Classical Data Classification

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WIMI" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, has completed systematic benchmark testing on fully ...
AlphaGalileo

When Old Data Gains New Relevance: Historical Study on Brain Convolutions Confirmed After 150 Years - Renate Schweizer and her team receive the Replication …

When the Göttingen anatomist Rudolf Wagner examined a brain in 1856 that was later mistakenly believed to be that of the ...
IEEE

Dependent Discrete Convolution Based Probabilistic Load Flow for the Active Distribution System

Abstract: Active distribution system (ADS) plays a significant role in enabling the integration of distributed generation. The stochastic nature of renewable energy resources injects the complex ...
Science Daily

Brain-inspired AI breakthrough: Making computers see more like humans

Researchers have developed a new artificial intelligence (AI) technique that brings machine vision closer to how the human brain processes images. Called Lp-Convolution, this method improves the ...
IEEE

Convolution Type of Metaplectic Cohen’s Distribution Time-Frequency Analysis Theory, Method and Technology

Abstract: The conventional Cohen’s distribution can’t meet the requirement of additive noises jamming signals high-performance denoising under the condition of low signal-to-noise ratio, it is ...
Embedded

Understanding convolutional neural networks

The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...
Europe PMC

A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmentation with limited annotations.

Multi-modal learning is widely adopted to learn the latent complementary information between different modalities in multi-modal medical image segmentation tasks. Nevertheless, the traditional ...