Researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a neural network model based on self-attention mechanisms to rapidly predict radiation ...

A research team from the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences (CAS) has proposed a hybrid transfer and epitaxy strategy, enabling the ...

Researchers say they have mapped more than 200,000 cells in a cubic millimeter of brain tissue and have traced how they're ...

The recently emerging artificial intelligence (AI)-empowered algorithms have shown striking performances in exploring the implicit relationship among variables with specially designed Neural Networks ...

Abstract: The frequency shift of the Brillouin gain spectrum (BGS) in optical fibers can be used for strain measurement. However, for the practical application of this BGS-based optical-fiber strain ...

Spiking neural networks (SNNs) are modeled on biological neurons and are energy-efficient on neuromorphic hardware, which can be expected to better handle brain signals and benefit real-world, ...

The current study deals with a feed-forward neural network that we trained with 2D finite element simulations based on morphoelasticity. We focus on the evolution of the scar shape, wound area, and ...

PowSyBl diagram allows users to generate customizable network graph diagrams (denominated network-area diagrams in PowSyBl) and single-line diagrams in SVG format files. PowSyBl is part of the LF ...

The script has to be started once on each node. Once torchmd-train is started on all nodes, a network connection between the nodes will be established using NCCL. In addition to the environment ...