The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

Model Context Protocol (MCP), a new open standard that defines how AI systems connect to data and tools, helps solve the ...

For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...

AGNTCY addresses fundamental infrastructure gaps that have prevented AI agents from working together at enterprise scale. The framework provides core capabilities that mirror traditional networking ...

Google Cloud continues to quickly build out its generative AI capabilities and is advancing technology for the adoption and use of AI agents that can automate tasks and collaborate across ...

Michael Wegmüller has more than 20 years of experience in AI. He is cofounder of Artifact SA and a widely recognized AI business expert. Multi-agent AI systems (MAS) represent the next step in ...

Onix's 2026 AI Trends Report reveals a significant shift in enterprise operations, moving beyond experimental tools to ...

Manus, developed by the Chinese startup Monica, is the world’s first fully autonomous AI agent. It launched on March 6, 2025. It can independently execute complex, real-world tasks. Manus AI can: ...

What happens when a tech giant like Google decides to rewrite the rules of AI and cloud computing? With the unveiling of Gemini On-Prem, the Agent Developer Kit (ADK), and open-weight AI models, ...

Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial intelligence (AI) to address a ...