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 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.
AI is revolutionizing personal finance, democratizing sophisticated investment tools for everyday investors. With personalized strategies, lower fees, and enhanced decision-making, AI-powered financial services are expanding access and transforming how people manage their money, offering unprecedented opportunities for financial growth.
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.
The world’s first android half marathon took place in Beijing, featuring humanoid robots from over 20 companies. X-Humanoid’s Tiangong Ultra won, while investors showed keen interest in the showcased technology. Despite some mishaps, six robots completed the race, highlighting their potential for real-world applications in various fields.
AI is transforming the fashion industry, projected to grow from $96.5 million to $2.2 billion by 2032. Designers now generate multiple design variations instantly, reduce fabric waste, optimize production, and enhance consumer experiences while maintaining human creativity’s essential role.
The fashion industry is rapidly evolving with AI, projected to grow from $96.5 million in 2023 to $2.2 billion by 2032. AI tools enhance design processes through rapid prototyping, digital fabric simulation, and virtual try-ons, while promoting sustainability by reducing waste and optimizing resources. The future of fashion is here.
In an interview, Mark Johnstone, Google Cloud’s security lead for the Asia-Pacific region, emphasized the company’s commitment to AI-driven cybersecurity. He highlighted the importance of collaboration with governments and startups to enhance security measures, showcasing innovations like the Gemini AI model and the Secure AI framework to protect users effectively.
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.
In the evolving financial landscape, AI-driven expense management is transforming how companies operate. By integrating advanced technologies like OCR and RPA, organizations can enhance compliance, streamline processes, and reduce risks. This innovative approach positions expense management as a vital tool for value creation in the financial sector.
