In the rapidly advancing field of artificial intelligence, integration and interoperability remain significant challenges.

Background The advent of pre-trained generative transformers, exemplified by ChatGPT, has significantly impacted medical education, catalysing a wealth of research focused on enhancing educational ...

Anthropic’s Model Context Protocol represents a significant advancement in AI integration, offering a standardized approach ...

今年10月，Anthropic在推出最新版Claude 3.5 ...

Patrick Leung, CTO of Faro Health, drives the company’s AI-enabled platform, which simplifies and speeds up clinical trial ...

Learn how Anthropic's Model Context Protocol (MCP) now empowers developers to build smarter, adaptable AI solutions with open ...

The Anthropic Model Context Protocol aims to eliminate the silos of data AI models rely on, with a more integrated system of ...

In the fast-moving world of AI, competition is heating up—and nowhere is this more evident than in the battle over advanced ...

Anthropic’s new MCP protocol quickly connects AI assistants with data and dev tools. We create technical standards to ...

What qualifies as an open-source AI model? What are the risks that come with it? And how does open-source AI challenge Big ...

Supervised machine-learning and the Internet of Things can be used to develop a soft sensor that can enable the plant ...

Specifically, the Model Context Protocol (MCP) is an open protocol that provides a universal connection to all sorts of data ...