Having incorporated AI technology in a myriad of ways in the development of drugs, Creative Biolabs remains an active ...

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

Neural Network Optimization in Microwave Engineering Publication Trend The graph below shows the total number of publications each year in Neural Network Optimization in Microwave Engineering.

Neural Network Optimization and Convergence Analysis Publication Trend The graph below shows the total number of publications each year in Neural Network Optimization and Convergence Analysis.

The latest announcement from the National Intellectual Property Administration indicates that Nantong Binary Software Technology Co., Ltd. (hereinafter referred to as "Nantong Binary") has been ...

Core Technologies of AI Search Optimization in the GEO Field In the GEO field, the core of AI search optimization lies in the ...

This technical paper titled “DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks” is co-authored from researchers at The University of Texas at Austin, Intel, ...

Researchers review AI-powered inverse lithography, showing how deep learning boosts chip patterning precision and efficiency while facing scaling challenges.

In operation and maintenance, which accounts for the majority of research, IoT sensors and Digital Twins enable real-time monitoring of building systems. When coupled with AI, these technologies drive ...

Neural network algorithm is used in this paper to upgrade the material flow model. According to the operation principle of port logistics and the principle of neural network algorithm, based on the ...