China organizes its first Robot Games with embodied artificial intelligence [Caracas – Venezuela] [Spanish]

China will host its first-ever Games of Robots with embodied artificial intelligence in Wuxi from April 24-26. The event will feature humanoid robots competing in various sports and technical challenges, showcasing advancements in robotics and AI, with participation from leading companies like Unitree and Xiaomi Robotics.

Museum of the Future unveils enhanced Ameca robot – Arabian Business: Latest News on the Middle East, Real Estate, Finance, and More [English]

The Museum of the Future has unveiled an enhanced version of the Ameca robot, featuring advanced capabilities for visitor interactions. With realistic facial expressions and multilingual communication, Ameca serves as an intelligent assistant, integrating modern AI technologies to provide intuitive experiences for global audiences.

U.S. media marvels: China’s factory automation leads the world in manufacturing industry_ Mobile NetEase [Chinese]

A recent New York Times article highlights China’s leading role in global manufacturing automation, surpassing the U.S., Germany, and Japan. With a growing number of industrial robots and a strong talent pool, China’s manufacturing sector is rapidly evolving, enhancing competitiveness and resilience in the face of global challenges.

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.

AWS Introduces SWE-PolyBench: A New Open-Source Multilingual Benchmark for Evaluating AI Coding Agents [English]

AWS AI Labs has launched SWE-PolyBench, an open-source multilingual benchmark for evaluating AI coding agents. This framework addresses limitations of existing benchmarks by incorporating real pull requests across multiple programming languages, enabling more comprehensive assessments of coding agents’ capabilities in real-world scenarios.

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