How To Design URL Structures For AI Retrieval, Not Just Rankings

URL structure has always been an important SEO factor to align relevancy, but now they can also influence AI retrieval. Learn ...

Why GEO Tactics Often Fail Without Reputation Architecture

1. Stop campaigning, and start operating. The cycle of posting and forgetting is one of the most expensive habits in ...
Frontiers

Biologically plausible learning in spiking neural networks

Spiking Neural Networks (SNNs) represent the "third generation" of neural models, capturing the discrete, asynchronous, and energy-efficient nature of ...
Morningstar

MicroAlgo Inc. Develops Quantum Algorithm Technology for Feedforward Neural Networks to Drive Neural Network Revolution

SHENZHEN, China, April 24, 2026 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward ...
GitHub

Evolution of Optimization Methods: Algorithms, Scenarios, and Evaluations

Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...
IEEE

Brain-Inspired Chaotic Graph Backpropagation for Combinatorial Optimization

Abstract: Graph neural networks (GNNs) with unsupervised learning can provide high-quality approximate solutions to large-scale combinatorial optimization problems (COPs) with efficient time ...
Business Insider

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

Beijing, Jan. 15, 2026 (GLOBE NEWSWIRE) -- WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ...
InfoQ

AlphaEvolve Enters Google Cloud as an Agentic System for Algorithm Optimization

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
IEEE

Optimal Control Theoretic Neural Optimizer: From Backpropagation to Dynamic Programming

Abstract: Optimization of deep neural networks (DNNs) has been driving modern advancements in artificial intelligence. With DNNs characterized by a prolonged sequence of nonlinear propagation, ...