This paper explores the multi-objective optimization design issue of the dual-stator hybrid rotor low-speed high-torque motor (DS-LSHTM).The torque, torque ripple and motor efficiency are selected as ...

The new data sorting system based on memristor technology, improved energy efficiency by more than 160 times compared to ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

The latest generative AI models such as OpenAI's ChatGPT-4 and Google's Gemini 2.5 require not only high memory bandwidth but also large memory capacity. This is why generative AI cloud operating ...

The rise of generative artificial intelligence (AI), particularly large language models (LLMs), has marked a transformative ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

Signal processing has made extensive use of neural networks. This study examines neural network training using the PSO and BP algorithms. To train the neural network, the PSO algorithm alone, the BP ...

Based on a protein’s three-dimensional surface structure, the algorithm designs molecules that bind specifically to the protein according to the lock- and-key principle, so they can interact ...