Group 1 - Anthropic has launched an AI product named Claude for Life Sciences, aimed at assisting researchers in various stages of their work, including literature review, hypothesis generation, data analysis, and drafting regulatory applications. This marks Anthropic's official entry into the life sciences sector [2] - Vidu has upgraded its Q2 reference video service, focusing on high consistency, faster speeds, and more affordable pricing to meet the growing content creation demands of professional and semi-professional creators. The service now includes a video extension feature, allowing free users to extend videos by 30 seconds and paid users by up to 5 minutes [2] - Huawei is actively recruiting top global AI talent to build a world-class AI team and develop leading large models, with a goal of reaching the pinnacle of Artificial General Intelligence (AGI) [2] Group 2 - A Chinese research team has made a significant breakthrough in robotics by proposing the world's first unified theory of "force-position hybrid control algorithm," which improves the success rate of robotic operations by approximately 39.5% without relying on force sensors [3]

Group 1 - The core point of the article is the successful completion of the static ignition test and propellant filling rehearsal for China's reusable rocket, Zhuque-3, marking a significant step towards its maiden flight [2][3] - The rehearsal covered the entire operational process of the rocket, including horizontal transport, vertical erection, propellant filling, engine ignition, and propellant discharge, serving as a comprehensive test of the rocket's systems and their compatibility with the launch site [3] - The Zhuque-3 rocket is designed for large constellation networking tasks, featuring high payload capacity, low cost, and reusability, with a length of 66.1 meters and a takeoff weight of approximately 570 tons [6] Group 2 - A major breakthrough in robot algorithms has been achieved by a Chinese research team, introducing the world's first unified theory of force-position hybrid control algorithms, which improves task success rates by approximately 39.5% compared to traditional position control strategies [7] - The new algorithm allows robots to learn both position and force control without relying on force sensors, enhancing their operational capabilities and safety in human-robot collaboration [10][12] - The practical application of this algorithm has been demonstrated with a quadruped robot successfully performing tasks such as whiteboard cleaning, showcasing its core principles and advantages [9]