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New findings have revealed that tiny plasma jets on the Sun play a significant role in driving both the fast and slow solar wind. Observations have been made using high-resolution imaging and direct measurements, offering a clearer picture of how the solar wind originates and moves through space. The study sheds light on a longstanding mystery surrounding the Sun’s influence on space weather and its potential impact on Earth.

Observations from Solar Orbiter Provide Crucial Data

According to the research published in Astronomy & Astrophysics, data from the European Space Agency’s Solar Orbiter has provided compelling evidence linking small-scale plasma jets, known as picoflares, to the solar wind. The spacecraft, during its close approach to the Sun in late 2022 and early 2023, captured high-resolution images of these jets emerging from coronal holes. These structures, which appear as dark patches on the Sun’s surface, serve as channels through which charged particles escape into space.

Implications for Space Weather and Future Studies

Lakshmi Pradeep Chitta, a researcher at the Max Planck Institute for Solar System Research, has highlighted the significance of these observations while talking to Space.com. The energy produced by a single picoflare jet, lasting no more than a minute, is comparable to the annual power consumption of thousands of households. These jets have now been directly linked to both fast and slow components of the solar wind, challenging previous assumptions that separate processes were responsible for their formation.

Further Investigations Expected with Upcoming Missions

Future close approaches by Solar Orbiter, scheduled to take place twice a year, are expected to provide additional insights into how these jets contribute to the solar wind. The findings could refine predictions of solar storms, which have the potential to disrupt satellite communications and GPS signals, and pose risks to astronauts. Scientists are optimistic that continued research will enhance understanding of solar activity and its far-reaching effects on Earth’s space 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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