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

In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...

The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

The method conceptualises neural models as collections of interconnected optimisation problems functioning across multiple levels.

Improve model performance and training stability using multilayer perceptrons (MLPs) and applying normalization techniques. Implement autoencoders for unsupervised feature learning and design ...

Overview: The proper GPU accelerates AI workloads, neural network training, and complex computations.Look for high CUDA core ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...