The MCP protocol, inspired by LSP, standardizes communication between AI applications and extensions, emphasizing model-driven invocation, user control, and three interaction types: tools, resources, and prompts. It utilizes JSON-RPC, complements OpenAPI, and focuses on stateful interactions and secure authorization.
Solo.io launches Agent Gateway and Agent Mesh, optimizing AI agent connectivity with security, observability, and governance across diverse environments.
South Korea is investigating DeepSeek for alleged unauthorized data transfers. This raises concerns about user consent, transparency, and compliance with data protection regulations in the AI sector.
Explore the escalating expenses of training AI models, factors driving costs, strategies for reduction, and implications for the AI landscape.
Exploring Model Contextualization Protocol's potential, challenges, and ecosystem. MCPs bridge AI models and external data, but face UX and security hurdles, with clients as gatekeepers in the emerging AI landscape.
The Model Context Protocol empowers AI by connecting LLMs with existing tools. Success requires employee-led innovation, not just IT implementation, for competitive advantage.
Kleio envisions AI agents transforming travel booking via Model Context Protocols and Agent2Agent protocols. This shift promises personalized experiences, automation, and challenges in control, security, and human interaction.
AI model achieves over 90% accuracy in thyroid cancer diagnosis, staging, and risk classification, reducing clinician preparation time by 50%.
Explore AI inference economics, focusing on cost reduction, efficiency, and scalability. Learn key concepts and strategies for profitable AI deployment.
Google's DolphinGemma, an AI model, aims to decipher dolphin vocalizations, offering insights into their behavior and aiding conservation efforts. By creating synthetic voices and listening for replies, it bridges the communication gap between humans and dolphins.
