This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...

Physical AI marks a transition from robots as programmed tools to robots as adaptable collaborators. That transition will unfold over years rather than months, but the foundation models emerging from ...

The company said on Wednesday that revenue in the most recent quarter was $81.3 billion, but its share price dropped more ...

Abstract: This paper presents a sampling-based path planning algorithm for autonomous vehicles with the existence of static obstacles. Conventional sampling-based path planning algorithms pose ...

For at least the past ten years, there's been a rising chorus of voices calling for the adoption of memory-safe programming ...

This virtual panel brings together engineers, architects, and technical leaders to explore how AI is changing the landscape ...

Microsoft has launched its Model Context Protocol (MCP) for Azure Functions, ensuring secure, standardized workflows for AI ...

Abstract: Deep reinforcement learning (DRL) allows a system to interact with its environment and take actions by training an efficient policy that maximizes self-defined rewards. In autonomous driving ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

A new career path for Army officers that focuses on artificial intelligence and machine learning further cements the service’s doctrinal shift toward cutting-edge technology and autonomous warfare.