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Recently, a miniature deep-sea multi-modal robot jointly developed by Beihang University, the Institute of Deep-Sea Science and Engineering of the Chinese Academy of Sciences, and Zhejiang University, was successfully published in the top international academic journal Science Robotics. This robot has milestone significance in ocean exploration and scientific research, particularly in deep-sea applications. Measuring less than 50 centimeters long and weighing only 1500 grams, this remarkable robot can perform multi-modal movement at a depth of 10,000 meters. This means it can not only swim, but also glide and crawl, demonstrating exceptional capabilities.

Keling AI has made another big splash recently, not only launching a web version but also releasing several major new features. The launch of the Keling web version, a comprehensive improvement in image quality, the addition of start and end frame and camera control functions, as well as the extended open length for text-to-video up to 10 seconds. Key Updates:Basic Model Upgrade: Keling AI's basic model has undergone significant upgrades, now capable of generating videos with higher resolutions,

Babytree has launched the maternal and infant industry vertical model Mika-Brain. Mika-Brain is trained based on the data accumulated by Babytree in the maternal and infant field, possessing strong professionalism and accuracy. Babytree plans to apply Mika-Brain in the field of smart family travel, launching the AI-MIKA product. Through Mika-Brain, Babytree hopes to enhance user experience and commercial capabilities for brands. Babytree's innovation will also bring new inspiration to the entire maternal and infant industry.

A portable ultrasound machine developed by Mohammed bin Zayed University of Artificial Intelligence can help save millions of infant lives in developing countries. The combination of artificial intelligence technology and predictive diagnostics can quickly identify potentially treatable congenital heart defects in unborn babies. The findings of this research are expected to be promoted in health resource-limited developing countries, improving the early detection and treatment levels of infant heart disease.

The MyoSuite 2.0 series launched by Meta AI collaborates with multiple universities on a new project that mimics infant movement through machine learning. This project demonstrates human-level dexterity and agility, involving complex muscle control challenges. Replicating movement strategies in MyoSuite is more difficult than moving robots, but roboticists can learn from human control techniques.