Cognitive computing represents an innovative frontier within computer science, merging artificial intelligence, machine ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.

How AI, privacy-preserving computation, and explainable models quietly strengthen payments, protect data, and bridge traditional finance with crypto systems.

It is happening. Yesterday Tesla starting rolling out FSD V14.2.1.25 with XAI Grok Voice. You give verbal navigation directions. Today Tesla robotaxi are being spotted driving around in Austin without ...

Section 1. Purpose. United States leadership in Artificial Intelligence (AI) will promote United States national and economic security and dominance across many domains. Pursuant to Executive Order ...

When AI falters, it’s easy to blame the model. People assume the algorithm got it wrong or that the technology can’t be trusted. But here’s what I've learned after years of building AI systems at ...

AI decisions are only defensible when the reasoning behind them is visible, traceable, and auditable. “Explainable AI” delivers that visibility, turning black-box outputs into documented logic that ...

Amida's graph-based approach transforms Medicare Fee-for-Service claims data into transparent, audit-ready indicators of potential fraud. WASHINGTON--(BUSINESS WIRE)--Amida Technology Solutions, Inc.

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...