Anthropic's Model Context Protocol has become the standard for AI data connections. Now researchers from Shanghai want to adapt the concept for science: their Science Context Protocol aims to connect AI agents, lab robots, and databases across institutional boundaries.<br /> The article Science Context Protocol aims to let AI agents collaborate across labs and institutions worldwide appeared first on The Decoder. [...]
Visa is introducing a new security framework designed to solve one of the thorniest problems emerging in artificial intelligence-powered commerce: how retailers can tell the difference between legitim [...]
Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't always aware of them in real-time.The challenge is infrast [...]
For all their superhuman power, today’s AI models suffer from a surprisingly human flaw: They forget. Give an AI assistant a sprawling conversation, a multi-step reasoning task or a project spanning [...]
A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework automat [...]
Endor Labs, the application security startup backed by more than $208 million in venture funding, today launched AURI, a platform that embeds real-time security intelligence directly into the AI codin [...]
The same connectivity that made Anthropic's Model Context Protocol (MCP) the fastest-adopted AI integration standard in 2025 has created enterprise cybersecurity's most dangerous blind spot. [...]
Artificial intelligence agents powered by the world's most advanced language models routinely fail to complete even straightforward professional tasks on their own, according to groundbreaking re [...]