Software

View All
New Protocol Enables AI Systems to Connect with External Data Sources and Tools - Professional coverage
AISoftware

New Protocol Enables AI Systems to Connect with External Data Sources and Tools

Breaking Down AI's Connectivity Barrier Artificial intelligence systems are gaining a crucial capability that addresses their historical limitation of operating…

Samsung's Strategic Pivot: Building an In-House Cloud Ecosystem to Rival Tech Giants - Professional coverage
SoftwareTechnology

Samsung’s Strategic Pivot: Building an In-House Cloud Ecosystem to Rival Tech Giants

Samsung's Cloud Ambitions Take Center Stage In a bold move that could reshape the competitive landscape of cloud storage, Samsung…

Linux Embraces Enhanced NTFS Driver for Superior Windows Interoperability - Professional coverage
SoftwareTechnology

Linux Embraces Enhanced NTFS Driver for Superior Windows Interoperability

Revolutionizing Cross-Platform File Management The Linux community has unveiled NTFSPLUS, a groundbreaking driver that promises to transform how Linux systems…

AISoftware

New Protocol Enables AI Systems to Connect with External Data Sources and Tools

A new universal interface standard is transforming how AI systems interact with external resources. The Model Context Protocol enables developers to build sophisticated AI agents that can access real-time data and utilize computational tools through standardized connections.

Breaking Down AI’s Connectivity Barrier

Artificial intelligence systems are gaining a crucial capability that addresses their historical limitation of operating in isolation, according to reports. The Model Context Protocol (MCP) establishes a universal interface standard that enables AI systems to connect with external data sources and computational tools, sources indicate. This development comes as Large Language Models face constraints in delivering current information and executing tasks beyond text generation due to their inability to access real-time data.