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Anscer Robotics Launches LBR 500 AMR to Automate Indian Manufacturing Bengaluru-based Anscer Robotics has launched the LBR 500, a low-bed autonomous mobile robot (AMR) designed to automate material movement using trolleys within Indian manufacturing facilities. Developed in response to the widespread use of trolleys for material handling in local factories, the LBR 500 is engineered for compatibility with a diverse range of existing trolleys. The AMR features a 500 kg load capacity, an 8-hour operational runtime on a single charge, and a top speed of 1.2 meters per second. To ensure safe collaboration with human workers, the robot adheres to ISO 13849 and PLd Category 3 safety standards. Anscer Robotics is also making the technology accessible to small and medium-sized enterprises through a Robots-as-a-Service (RaaS) model. ...

Beijing Hosts Inaugural World Humanoid Robot Games The first-ever World Humanoid Robot Games have commenced in Beijing, drawing 280 teams from 16 countries. This three-day event showcases the latest advancements in humanoid robot technology through a series of demanding competitions. Robots are competing in 26 different events, including athletic challenges like running and football, alongside skill-based tasks such as cleaning and sorting pharmaceuticals. The games are designed to test the robots’ intelligent decision-making and collaborative movement capabilities in extreme scenarios. This event, following the 2025 World Robot Conference, aims to accelerate the real-world application of humanoid robots in sectors like manufacturing, healthcare, and domestic services. ...

How Google AI’s New Method Reduces LLM Training Data by 10,000x Google Research has unveiled a groundbreaking method for fine-tuning large language models (LLMs) that reduces required training data by up to 10,000 times. This innovative approach utilizes active learning to focus expert labeling on the most informative examples, especially “boundary cases” where model uncertainty is highest. In experiments with Gemini Nano models, this technique matched or surpassed the quality of models trained on 100,000 random labels with as few as 250 to 450 targeted examples. This development promises to make AI model development significantly leaner, more agile, and more cost-effective. ...

AI Discovers Stronger, More Durable Plastics in Materials Science Breakthrough Researchers at MIT and Duke University have utilized machine learning to develop significantly more durable plastics, a breakthrough that could lead to longer-lasting products and a reduction in plastic waste. The AI model identified novel crosslinker molecules, known as mechanophores, that can be integrated into polymer materials to make them more resistant to tearing. These mechanophores respond to mechanical force, allowing the material to withstand greater stress before breaking. After the AI model performed a rapid computational analysis of thousands of potential molecules, a task that would have been incredibly time-consuming with traditional methods, researchers synthesized a polymer with one of the identified candidates. The resulting material was found to be approximately four times tougher than plastics made with standard crosslinkers. This AI-driven approach to polymer science not only accelerated the discovery process but also uncovered new design principles for creating more resilient polymers. ...

OpenAI’s GPT-5 Launch Set for August 2025 with Advanced Reasoning and Multimodal Features OpenAI is poised to release its next-generation generative AI model, GPT-5, in August 2025, promising significant advancements in reasoning, multimodal capabilities, and autonomous task execution. The new model is expected to feature a unified architecture, streamlining the user experience by eliminating the need to switch between different models for various tasks. GPT-5 is also anticipated to have a greatly expanded context window and introduce video processing capabilities, enabling more complex and coherent interactions. The release is seen as a major step towards more intuitive and powerful AI, with specialized versions planned for enterprise, real-time, and low-resource environments. This launch will intensify the AI competition with other major developers like Google. ...

AI & Robotics News: WeRide’s Saudi Robotaxi Launch, Waymo in Ontario, and Mystery ‘Horizon Alpha’ AI WeRide Secures Saudi Arabia’s First-Ever Robotaxi Permit WeRide has officially become the first company granted a permit for commercial robotaxi operations in Saudi Arabia. This significant milestone marks the sixth country where WeRide has received autonomous vehicle (AV) approvals, joining China, the UAE, Singapore, France, and the US. In a strategic collaboration with Uber and Ai Driver, WeRide has already initiated pilot robotaxi operations in Riyadh. The company aims for a full commercial service launch by the end of 2025. This permit was awarded following the successful completion of Saudi Arabia’s rigorous AV Regulatory Sandbox program. ...