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High above the Mojave Desert, NASA’s two F-15 jets completed a pivotal series of May flights to validate airborne tools essential for the agency’s Quesst mission, aimed at enabling quiet supersonic travel. Flying faster than the speed of sound, the jets replicated the conditions under which NASA’s experimental X-59 aircraft will fly. The campaign tested shockwave sensors, geospatial guidance systems, and schlieren imaging tools designed to detect and visualise the aircraft’s sonic “thump”—a softer alternative to the traditional boom—when the X-59 cruises at Mach 1.4 and above 50,000 feet.

As per NASA’s Armstrong Flight Research Centre, the dual-jet validation effort was led by the SCHAMROQ team, which transformed an F-15D from a combat aircraft into a research platform. Along with an F-15B, the aircraft were used to perform simultaneous flight operations—called dual ship flights—to validate three core systems: a near-field shock-sensing probe, an airborne schlieren photography setup, and a GPS-driven Airborne Location Integrating Geospatial Navigation System (ALIGNS). These efforts collectively confirm the systems’ readiness for X-59 data capture.

Cheng Moua, NASA’s project lead for SCHAMROQ, likened the series to a “graduation exercise”, where all tools were tested in their final configuration. The schlieren system, in particular, demanded intense precision, requiring a high-speed handheld camera to track the X-59’s airflow against the sun’s backdrop while the aircraft flew through a tight 100-foot alignment corridor.

The successful validation shows that NASA’s specialised tools are ready to record the X-59’s sound signature. This is a key step towards establishing that it is conceivable, quantifiable, and repeatable to fly supersonic over land without making too much noise. The information will help determine the future of commercial aviation regulation and technology, making the promise of quicker, quieter flight travel more likely.

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AI Model Learns to Predict Human Gait for Smarter, Pre-Trained Exoskeleton Control

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Scientists at Georgia Tech have created an AI technique that pre-trains exoskeleton controllers using existing human motion datasets, removing the need for lengthy lab-based retraining. The system predicts joint behavior and assistance needs, enabling controllers that work as well as hand-tuned versions. This advance accelerates prototype development and could improve…

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Scientists Build One of the Most Detailed Digital Simulations of the Mouse Cortex Using Japan’s Fugaku Supercomputer

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Researchers from the Allen Institute and Japan’s University of Electro-Communications have built one of the most detailed mouse cortex simulations ever created. Using Japan’s Fugaku supercomputer, the team modeled around 10 million neurons and 26 billion synapses, recreating realistic structure and activity. The virtual cortex offers a new platform for studying br…

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UC San Diego Engineers Create Wearable Patch That Controls Robots Even in Chaotic Motion

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UC San Diego engineers have developed a soft, AI-enabled wearable patch that can interpret gestures with high accuracy even during vigorous or chaotic movement. The armband uses stretchable sensors, a custom deep-learning model, and on-chip processing to clean motion signals in real time. This breakthrough could enable intuitive robot control for rehabilitation, indus…

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