Abstract: When deploying complex, highly loaded end-to-end solutions, container systems are becoming an increasingly popular choice as an alternative to virtual operating systems. These technologies ...

The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

Researchers at Sandia National Laboratories have developed AI algorithms to detect physical problems, cyberattacks and both at the same time within the grid. “As more disturbances occur, whether from ...

Abstract: The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, ...

Quantum computing has gained significant attention in recent years, with numerous algorithms and applications under active development. Limited by the current quantum ...

Thank you very much for your outstanding work. Recently, I came across your research results and was immediately intrigued. I attempted to train a parameter autoencoder using my own set of parameters, ...

Neural processing unts (NPUs) are the latest chips you might find in smartphones and laptops — but what are they ard why are they so important? When you purchase through links on our site, we may earn ...

Chain information management system is widely used, providing convenience for the operation and management of enterprises. However, the problem of abnormal network traffic becomes increasingly ...

1 Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran 2 College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, United Kingdom ...

Single cell technology measures multi-dimensional molecules at cellular resolution in cancer biology with challenges of low coverage and cell annotation. The inherent heterogeneity and complexity of ...