Viola: AI will accelerate the difference between Latin America and global powers [Portuguese]

Eduardo Viola, a political scientist, warns that the technological race between global powers will exacerbate disparities, particularly for Latin America. He emphasizes the rapid advancements in artificial intelligence and quantum computing, predicting a widening gap between the region and leading nations like the U.S. and China.

CJ Logistics and Rainbow Robotics, Joint Development Agreement for AI Humanoid Robots for Logistics [Korean]

CJ Logistics has partnered with Rainbow Robotics to develop and commercialize AI humanoid robots tailored for the logistics industry. The collaboration aims to create innovative robotic solutions that can autonomously perform tasks, leveraging advanced AI technology for real-time decision-making and enhancing operational efficiency in logistics environments.

Model Context Protocol (MCP) vs Function Calling: A Deep Dive into AI Integration Architectures [English]

The blog post explores the Model Context Protocol (MCP) and Function Calling, two methods for integrating Large Language Models (LLMs) with external systems. It highlights their architectural differences, use cases, and security features, emphasizing MCP’s robustness for complex integrations and Function Calling’s flexibility for dynamic task execution.

Google Releases Agent Development Kit (ADK): An Open-Source AI Framework Integrated with Gemini to Build, Manage, Evaluate and Deploy Multi Agents [English]

Google has launched the Agent Development Kit (ADK), an open-source framework designed for building, managing, and deploying multi-agent systems. Written in Python, ADK emphasizes modularity and flexibility, integrating seamlessly with Google’s AI ecosystem and offering tools for developers to create efficient agent workflows.

The AutoGen Framework is Making AI Engineers Obsolete  —  Here’s Why [English]

The AutoGen framework from Microsoft Research is revolutionizing AI development by enabling AI agents to autonomously build and coordinate workflows. This shift could render traditional AI engineering skills less essential, as complex tasks are increasingly managed by collaborative AI systems, signaling a significant change in the role of AI engineers.

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