WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...
Investopedia

Logarithmic vs. Linear Price Scales: Understanding Key Differences

Casey Murphy has fanned his passion for finance through years of writing about active trading, technical analysis, market commentary, exchange-traded funds (ETFs), commodities, futures, options, and ...
IEEE

Revisiting Linear Convolution, Circular Convolution and Their Related Methods

Abstract: For any linear and time-invariant system, its output is the linear convolution between the variable input sequence and the constant system impulse response. When the input is long and the ...
Investopedia

Convexity in Bonds: Definition and Examples

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Cierra Murry is an expert in banking, credit cards, investing, loans, mortgages, and real estate. She is a ...
IEEE

The New Kind of Convolution and Correlation Theorems Associated with the Linear Canonical Wavelet Transform

Abstract: Linear canonical transform (LCT), distinguished by its three free parameters, provides remarkable flexibility, establishing itself as a fundamental tool for time-frequency analysis and the ...
GitHub

SK-Arafat/Optimizer_kernel

KernelOptimizer is an open-source tool that automates CUDA kernel optimization for PyTorch workloads using large language models (LLMs). Inspired by Stanford CRFM’s fast kernel research, it leverages ...