RHyME: AI-powered robots learn from a single video [German]

Researchers at Cornell University have developed RHyME, a groundbreaking system enabling robots to learn complex tasks from a single video. This innovative approach enhances efficiency and adaptability, significantly reducing training data requirements and improving success rates in robotic tasks, paving the way for smarter robotic assistants in real-world applications.

Chinese Scientists Create Shapeshifting Micro-Robotic [Moscow – Russia]

Chinese scientists from Tsinghua University have developed a groundbreaking shapeshifting micro-robotic system. Weighing just 25 grams and measuring 9 centimeters, this untethered microrobot can adapt its form for various environments, enabling it to walk, fly, and perform complex tasks, potentially revolutionizing applications in hazardous settings and medical devices.

The Investor’s New Toolkit: How AI is Democratizing Financial Expertise

In 2025, AI is revolutionizing personal investing by democratizing access to sophisticated financial tools. With AI-powered robo-advisors and personalized strategies, everyday investors can make informed decisions at lower costs. However, understanding AI’s limitations and developing key skills are essential for maximizing these opportunities in wealth management.

Jensen Huang “AI robots are very important… they will bring innovation to Japanese companies” [Korean]

NVIDIA CEO Jensen Huang emphasized the importance of AI robots in driving innovation within Japanese companies during a meeting with Prime Minister Shigeru Ishiba. He highlighted the potential of combining AI with Japan’s robust robotics industry to enhance regional economies and foster collaboration between Japan and the U.S.

Tesla’s Optimus begins large-scale recruitment; Musk had claimed that thousands of humanoid robots would be produced this year – cnBeta.COM Mobile Version [Chinese]

Tesla’s CEO Elon Musk announced plans to significantly ramp up production of the Optimus humanoid robot, aiming for thousands by 2025. The company is expanding its reinforcement learning training for robotic tasks, with a goal of producing 50,000 to 100,000 units by 2026, marking a major step in robotics innovation.

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