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SpaceX‘s highly anticipated seventh test flight of its Starship rocket is set to take place on Wednesday, January 15, at 5 p.m. EST from the Starbase facility in South Texas. The mission, delayed from its earlier target of January 13, will showcase an upgraded version of the world’s largest rocket system. This test marks another milestone in the company’s journey towards making Starship fully operational for space exploration.

Launch Details and Objectives

According to reports by Space Explored, SpaceX aims to execute significant updates during this flight, including enhancements to the Super Heavy booster and the Mechazilla catching mechanism. These changes were designed to improve the rocket’s performance and increase the chances of successfully catching the booster after launch. If successful, the Super Heavy booster will attempt to return to the launch pad for a capture by the Mechazilla arms, similar to the success achieved during the Flight 5 mission in October.

Expected Flight Duration and Trajectory

Space.com also reported that the test flight will last approximately 66 minutes. The Starship upper stage will deploy 10 simulated Starlink satellites within the first 17 minutes of flight, followed by a relighting demonstration of one of its six Raptor engines. The vehicle is expected to follow a suborbital trajectory, concluding with a splashdown in the Indian Ocean. The Super Heavy booster will re-enter the atmosphere, with a catch attempt planned. If conditions are not ideal, a soft landing in the Gulf of Mexico will be the fallback option.

Viewing Options and Preparations

Space enthusiasts can watch the event live through SpaceX’s official livestream or other media outlets. Local viewing near Boca Chica Beach and South Padre Island is possible, but attendees are advised to arrive early due to expected traffic and limited public access. The launch will be visible from several locations, making it an exciting event for both spectators and the aerospace community.

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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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