Based on my experience, when working with a neural network, I generally try back-propagation training first and then check my results using either particle swarm optimization or evolutionary ...

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

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

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, ...

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 ...

The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the ...