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NASA’s latest infrared space telescope, SPHEREx (Spectro-Photometer for the History of the Universe, Epoch of Reionization and Ices Explorer), is set for launch on 28th February. The mission, valued at $488 million, will take off from Vandenberg Space Force Base in California aboard a SpaceX Falcon 9 rocket. Designed to scan the entire sky in infrared light, it will collect data from over 450 million galaxies and 100 million stars in the Milky Way. The telescope’s observations will focus on regions of the universe that are typically too distant or faint for conventional telescopes.

Scientific Objectives

According to NASA, the primary aim of SPHEREx is to enhance understanding of cosmic inflation, the rapid expansion of the universe that occurred within the first second following the Big Bang. By mapping the large-scale structure of the cosmos, the telescope will provide insight into how galaxies formed and evolved. Scientists also anticipate that its data will help track the presence and distribution of icy molecules in interstellar space, shedding light on the origins of water and essential organic compounds required for life.

Technical Capabilities

As per NASA’s Jet Propulsion Laboratory (JPL), SPHEREx weighs approximately 500 kilograms and operates on 270 to 300 watts of power. It is fitted with a spectrophotometer capable of detecting 102 different wavelengths of light, which allows it to identify unique chemical signatures of molecules across space. James Fanson, Project Manager at JPL, told NPR that unexpected discoveries are likely to emerge from the mission’s data.

Accompanying Mission

As reported, SPHEREx will not be the sole payload on this launch. It will share the Falcon 9 with PUNCH (Polarimeter to Unify the Corona and Heliosphere), a NASA mission consisting of four satellites that will examine the sun’s outer atmosphere and solar wind dynamics. Together, these missions aim to deepen scientific knowledge of both the distant universe and the immediate solar environment.

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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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