在大型语言模型（LLM）与企业级软件系统的集成进程中，上下文提供的摩擦力一直是限制人工智能应用深度的核心瓶颈。传统的架构范式高度依赖于静态的检索增强生成（RAG）管道或高度定制化、紧密耦合的应用程序接口（API）集成。这些传统方法不仅维护成本高昂，且难以适应底层数据模式的动态演进。模型上下文协议（Model Context Protocol, MCP）的出现从根本上改变了这一现状，它为人工智能系统 ...

Perplexity announced Computer for Enterprise at its Ask 2026 developer conference, launching a multi-model AI agent with ...

Finance teams moving from IRS FIRE to IRIS need more than a new filing process. Learn how the shift affects workflows, data validation, compliance readiness, and year-end reporting.

Boston’s chief information officer on a pioneering experiment leveraging AI to expand the public’s access to government. The next wave of AI will be defined by agentic systems that can take actions: ...

Building an open-source data lakehouse costs $520K/year in engineering time, before licenses and infra. The real all-in cost ...

Businesses today rely on data from websites, apps, internal systems, and third-party tools to make smarter decisions and improve customer experiences. But ...

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...

Asynchronous programming with async and await has existed in .NET for years. Now Microsoft is delivering a new runtime environment for asynchronous execution.

The Rocky Mountain Collegian Sponsored Content Discover the best AI app builder platforms for non-technical founders in 2026. Compare features, pricing, scalability, and see why Hostinger Horizons ...