Engineering simulations often require significant computational resources and time, which creates barriers for users and can ...

AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our brains. They are trained with vast quantities of data on high-performance ...

Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

Morphological profiling allows accurate identification of cell types in dense iPSC-derived cultures, allowing its use for quality control and differentiation monitoring.

U.S. telecom giants AT&T and Verizon say they have secured their networks after being targeted by the China-linked Salt Typhoon cyberespionage group. In a statement given to TechCrunch on Monday ...

Researchers outline a bold strategy to scale neuromorphic computing, aiming to match human brain functionality with minimal ...

Arista Networks Inc engages in the development, marketing, and sale of data-driven, client to cloud networking solutions for data center, campus, and routing environments in the Americas ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

An Effective Cloud Detection Network for Remote Sensing Images. Journal of Computer and Communications, 13, 1-14. doi: 10.4236/jcc.2025.131001 . Optical remote sensing technology is increasingly ...