Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality. Their ...

Abstract: In extremely low signal-to-noise ratio (SNR) region, the useful features of the signal are weakened by higher-power noise, making it difficult for conventional direction-of-arrival (DOA) ...

Companies can gain a competitive edge with neurosymbolic AI by using the technology’s predictive power to enhance forecasting ...

Generative AI trains on copyrighted music without permission. Neural fingerprinting detects both AI-generated tracks and ...

Researchers in California have created a new diagnostic metric that can reportedly predict if a battery can successfully power a specific task. The proposed model could be used in electric vehicles, ...

Abstract: The coordinated operation of grid-interactive buildings contributes to creating a more resilient and reliable power grid. However, existing studies fail to identify the demand changes of ...