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The Nancy Grace Roman Space Telescope, a next-generation observatory by NASA, has reached a pivotal stage with the delivery of its Optical Telescope Assembly (OTA) to the Goddard Space Flight Center in Maryland. The assembly, designed and constructed by L3Harris Technologies in Rochester, New York, forms the “eye” of the telescope and is expected to significantly enhance studies of dark matter, exoplanets, and infrared astrophysics. Delivery occurred in early November, marking an essential step towards its 2027 launch.

Advanced Design for Infrared Observation

According to a report by Space.com, the OTA includes a state-of-the-art primary mirror and nine additional mirrors engineered to capture faint infrared light from distant cosmic sources. NASA officials have stated that these components, alongside structural supports and electronics, will enable unprecedented observations. J. Scott Smith, Telescope Manager at NASA’s Goddard Space Flight Center, told the publication that the complexity of the project, which required “perfection in virtually every aspect” to achieve groundbreaking scientific results.

Comparison with Previous Telescopes

The telescope, equipped with a 300-megapixel infrared camera within its Wide Field Instrument, is expected to cover vast areas of the sky at a pace unachievable by its predecessor, the Hubble Space Telescope. It was noted by Smith in Space.com that a planned survey would image 2,000 square degrees, or five percent of the sky, in just seven months—a task that would take Hubble centuries to complete.

Innovations in Engineering and Testing

Reports have highlighted the rigorous testing conducted to ensure the telescope’s stability and performance under the conditions of space. This included a month-long thermal vacuum test, simulating space’s extreme temperature and pressure. The next steps involve integrating the OTA with Roman’s structural framework, with the team confirming progress remains on schedule.

The telescope is slated for launch aboard a SpaceX Falcon Heavy rocket, with its capabilities set to advance the search for habitable planets and deepen understanding of the universe.

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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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