Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

Researchers examine technologies and strategies for closed-loop water systems to support long-duration Moon and Mars missions, focusing on efficiency, durability, and resource recovery.

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

Instead of building experimental systems from scratch, the researchers demonstrate how a mainstream LMS can be transformed into an adaptive, inclusive ecosystem powered by generative AI and learning ...

AI is helping people write code, make music, and create movies, but it’s also being actively used for nefarious ends. Researchers at ...

Enterprise leaders say MCP servers are "extremely permissive" and existing security tools weren't built for AI agents. Here's ...

The why and how of securing AI infrastructure - today's threats make it no longer optional.

Discover OpenFang, the Rust-based Agent Operating System that redefines autonomous AI. Learn how its sandboxed architecture, pre-built "Hands," and security-first design outperform traditional Python ...

Specifically, PolicyEngine and TuningEngine work in tandem within the VAST DataEngine to create AI systems and interactions that are trusted, explainable, and continuously learning. PolicyEngine ...

Cybersecurity has always been a game of adaptation, but the emergence of AI-driven polymorphic threats is accelerating that arms race.

Abstract: Understanding human intention plays a crucial role in the research of human-robot interaction (HRI) for service robots. Although multimodal sensing methods have shown promising results in ...