Maranhenses participate in international robotics competitions in the USA | O Imparcial [São Luís, Maranhão – Brazil] [Portuguese]

Three students from Maranhão are set to represent Brazil at the inaugural RoboCupJunior Americas SuperRegional in Pennsylvania. Their team, Robotronic, developed an autonomous rescue robot designed to navigate obstacles and identify simulated victims, showcasing their skills in robotics and innovation on an international stage.

Proactive Policies for Safe Use of Artificial Intelligence – Al-Shaab Online [Arabic]

A recent ILO report highlights the transformative impact of artificial intelligence and automation on workplace safety and efficiency. While these technologies can reduce risks and enhance operations, the report emphasizes the need for proactive policies to ensure their safe and equitable implementation, addressing potential new hazards for workers.

Beyond Automation: How AI-Powered Robots Are Reshaping Our Physical World

AI-powered robots are transforming industries by bridging digital intelligence with the physical world. In 2025, these adaptive, multi-tasking machines enhance manufacturing, healthcare, and small businesses, enabling greater efficiency and collaboration. As they evolve, ethical considerations and equitable access remain crucial for a future where humans and robots thrive together.

Humans and Robots Race in the Half Marathon Race China History | Newstrack Hindi News | Humans and Robots Race: China has made history… where humans and robots raced in the half marathon, find out who came out on top | News Track in Hindi [Hindi]

In a historic event in Beijing, humans and humanoid robots competed in a half marathon, showcasing the potential for collaboration between technology and humanity. While human runners outpaced the robots, the race highlighted advancements in robotics and the future of human-robot partnerships in public events.

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.

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