A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...
WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification BEIJING, Feb.06, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...
AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...
Abstract: With the rising global cancer incidence, addressing cancer has become a major international priority. Efficient cancer treatment methods are in high demand. Boron Neutron Capture Therapy ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs through layers, calculating activations, and preparing data for ...
With the wide applications of Lateral Diffused Metal-Oxide-Semiconductor (LDMOS) transistors in power conversion systems, their reliability has become a growing concern. It is also well known that ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
1 Institute for Artificial Intelligence, Data Analysis and Systems (AIDAS), School of Engineering, Computing and Mathematics, Oxford Brookes University, Oxford, United Kingdom 2 Independent Researcher ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results