We talk a lot about AI, machine learning, and neural nets ... We now have a partial network diagram of the human brain. Consequently, computing tools seeking to mimic the brain have exploded ...

SHENZHEN, China, May 12, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), they announced today their research on quantum visual computing, exploring the ...

MLCommons' AI training tests show that the more chips you have, the more critical the network that's between them.

When two-dimensional electron systems are subjected to magnetic fields at low temperatures, they can exhibit interesting states of matter, such as fractional quantum Hall liquids. These are exotic ...

Choosing what stimulus to focus on, a.k.a. attention, is also the main mechanism behind another neural network architecture, the transformer, which has become the heart of large language models like ...

Graph neural networks (GNNs ... yet effective framework for training robust GNNs, denoted by Soft-GNN. The introduced sample network utilizes the observed training deviations and outputs sample ...

In a short period of time, artificial neural networks have become ... as the Internet of Things or peripheral computing, where speed and efficiency are important, and high accuracy is not so critical.

and reveals a novel neural-glia-fibroblast-lymphatic regulatory axis. This provides a new framework for understanding how the brain adapts its lymphatic network based on functional needs ...

Cloud computing offers the prospect of making ... BBC iPlayer is now built on a cloud-based microservice architecture, currently through a public cloud provider. However other parts of the BBC's ...

Abstract: Binary weight convolutional neural networks (BCNNs) can achieve near state-of-the ... In this paper, an energy-efficient architecture for BCNNs is proposed. It fully exploits the binary ...