ENG: Researchers at the University of Colorado Boulder are developing a new approach to aerodynamic flow control that uses engineered microscopic vibrations beneath an aircraft’s surface. Led by Mahmoud I. Hussein, the work focuses on phononic subsurfaces (PSubs), specially designed materials that interact passively with airflow without changing the external shape of a wing or fuselage. By controlling tiny internal vibrations known as phonons, these subsurfaces could delay the transition from laminar to turbulent flow, potentially reducing aerodynamic drag and improving fuel efficiency in commercial and high-speed aircraft.
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MIT Develops Agile Insect-Inspired Flying Robot
ENG: MIT researchers have developed a tiny insect-inspired flying robot capable of moving with speed and agility close to that of real insects. Designed for environments where conventional drones cannot fit, the microrobot could eventually help in search-and-rescue missions by navigating through narrow gaps in collapsed buildings. A new AI-based control system dramatically improved its performance, allowing it to fly about 447 percent faster and accelerate 255 percent more quickly than earlier versions.
Read More3D-Printed Panels Could Help 6G Signals Reach Around Corners
ENG: Aalto University researchers have developed low-cost metacrystal panels that could help future 6G networks overcome one of their major limitations: signal blockage. As wireless systems move toward higher-frequency communication, they can offer much higher data rates, yet the signals become more sensitive to walls, corners, people, and other obstacles. Instead of adding more powered equipment such as routers, repeaters, or base stations, the proposed approach turns parts of the built environment into passive wireless infrastructure.
Read MoreAI Patch Brings Real-Time Health Monitoring to the Body
ENG: Researchers at the University of Chicago Pritzker School of Molecular Engineering have developed a new skin-like computing patch that can analyze health data directly on the body using artificial intelligence. Unlike current wearable devices, which usually send collected data to an external server for processing, this patch performs computations locally and in milliseconds. This could be especially important in medical situations where even a short delay can be dangerous, such as detecting and responding to ventricular fibrillation.
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