Imagine tiny robots zipping across the surface of a lake to check water quality or searching for people in flooded areas. This technology is moving closer to reality thanks to work by researchers at the University of Virginia’s School of Engineering and Applied Science. Inspired by nature and insects such as water striders that walk on water, they created two prototype devices that can propel themselves across liquid surfaces.Imagine tiny robots zipping across the surface of a lake to check water quality or searching for people in flooded areas. This technology is moving closer to reality thanks to work by researchers at the University of Virginia’s School of Engineering and Applied Science. Inspired by nature and insects such as water striders that walk on water, they created two prototype devices that can propel themselves across liquid surfaces.[#item_full_content]

Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing the use of unmanned aerial vehicles (UAVs) for real-world applications such as disaster response, urban planning, and environmental monitoring. Yet, designing models that balance both high accuracy and fast, lightweight performance remains a challenge.Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing the use of unmanned aerial vehicles (UAVs) for real-world applications such as disaster response, urban planning, and environmental monitoring. Yet, designing models that balance both high accuracy and fast, lightweight performance remains a challenge.[#item_full_content]