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Efforts are underway in the Mediterranean Sea to install the underwater neutrino telescope known as KM3NeT, as reported by various sources. The telescopes are designed to detect high-energy neutrinos, subatomic particles emitted from unidentified cosmic sources. Unlike traditional telescopes, these devices rely on capturing light generated when neutrinos collide with seawater. This massive project spans a cubic kilometre of the Mediterranean and involves deploying hundreds of detector strands. The work aims to unveil new insights about the universe.

Unique Design and Deployment Challenges

According to experts, KM3NeT comprises two distinct telescopes featuring glass spheres, each packed with photomultiplier tubes. Simone Biagi, a physicist at Italy’s National Institute for Nuclear Physics, shared with Science News that the telescopes are situated several kilometres below the surface. Deployment involves suspending cables of sensors, resembling strands of pearls, each up to 700 metres in length. These are lowered to the seabed and gradually released to unfurl in the water. A remotely operated submersible is used to make precise connections and inspect the setup.

Scientific Goals of the Project

Sources indicate that one telescope, positioned off Sicily’s coast, is designed to observe high-energy neutrinos originating from space. The second, off the coast of France, is dedicated to studying atmospheric neutrinos and their oscillations. These oscillations provide vital data about how neutrinos shift between different forms, contributing to advancements in particle physics.

Operational Challenges at Sea

Physicists working on this project face significant challenges, including harsh sea conditions and tight schedules. According to reports, deployment campaigns occur annually, each lasting about a month. During this period, researchers work under immense pressure to ensure all equipment functions perfectly. Any errors must be corrected immediately, as adjustments after deployment are impossible.

Experts suggest that the partially completed KM3NeT telescopes are already yielding valuable scientific data, providing insights into quantum gravity effects and neutrino behaviours.

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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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