The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Viscous fingering occurs when a thinner fluid pushes a thicker, more viscous fluid in a porous medium, like underground rock, ...

The electrification of transport is transforming not only how vehicles operate but how energy systems are managed. Modern EV ...

A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...

TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.

Apple has announced its latest M5 chipset with the next-gen GPU that brings a Neural Accelerator into each GPU core. The Apple M5 features a 10-core GPU, up to 10 CPU cores, a 16-core Neural Engine, ...

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...

Researchers at Sandia National Laboratories have developed AI algorithms to detect physical problems, cyberattacks and both at the same time within the grid. “As more disturbances occur, whether from ...

A recent Nature study shows that separated artificial neural networks can accurately model SiC MOSFETs using minimal training data. Silicon carbide MOSFETs are increasingly replacing traditional ...

Accessing ocean velocity data is critical to improving our understanding of ocean dynamics, which affects our prediction capabilities for a range of services that the ocean provides. Because ocean ...

Abstract: This study aims to evaluate the effectiveness of two classification algorithms-AutoEncoder and Recurrent Convolutional Neural Network (R-CNN)-in predicting face mask detection. To conduct ...