IEEE

Cyber Attack Prediction: From Traditional Machine Learning to Generative Artificial Intelligence

Abstract: The escalating sophistication of cyber threats poses significant risks to individuals, organizations, and nations. Cybercrime, encompassing activities like hacking and data breaches, has ...
Deixis Online

Machine-learning atoms

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...
Data Center Frontier

xAI’s AI Factories: From Colossus to MACROHARDRR in the Gigawatt Era

From a converted factory in Memphis to a planned $20B, 2-gigawatt campus in Mississippi, Elon Musk’s xAI is building “AI ...
IEEE

A Scalable Reinforcement Learning Framework for Wireless Sensor Networks: Spatiotemporal Cluster-Based Multi-Agent Reinforcement Learning

Abstract: Wireless Sensor Networks face significant scalability challenges when implementing Reinforcement Learning techniques for adaptive decision-making. Traditional approaches utilizing either ...