It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are ...

Brain-inspired spiking neural networks bring real-time AI to edge devices, boosting performance, reducing power use, and ...

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 ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

Over the past decade, intensive studies have shown that the brain's meningeal lymphatic system acts as the brain's "waste disposal network ... increasing neural activity—for example, visual ...

To address this issue, we propose a residual structure-based feedforward neural network (ResFNN) that enables efficient action feature learning to attain improved score assessment performance. First, ...

The biggest companies are building their own data centers – which will also put pressure on the job market. OpenAI, for example ... publications -- CIO, CSO, Network World, Computerworld ...

Each time you ask an AI chatbot to summarize a lengthy legal document or conjure up a cartoon squirrel wearing glasses, it sends a request to a data center ... for example, relies widely on ...

Abstract: This paper proposes a set of adaptive learning rules for binary feedforward neural networks (BFNNs) by means of the sensitivity ... Experimental results on a number of benchmark data ...