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A significant breakthrough in astrophysics has been achieved, with scientists confirming the presence of a gravitational wave background—a constant vibration in the fabric of the universe. This discovery, reported in Monthly Notices of the Royal Astronomical Society, highlights that the phenomenon could be louder than previously anticipated. The findings are attributed to the MeerKAT Pulsar Timing Array, an innovative galactic-scale detector that has mapped gravitational waves with unprecedented precision, revealing a potential hot spot of activity in the Southern Hemisphere.

Understanding Gravitational Waves

According to the research, gravitational waves are ripples in space and time caused by massive cosmic events, such as black hole collisions. Supermassive black holes, located at the centres of galaxies, emit slow and powerful waves during galactic mergers. The MeerKAT Pulsar Timing Array utilises the predictable signals from 83 pulsars—highly dense, rapidly spinning neutron stars—to detect distortions caused by these waves.

MeerKAT’s Role and Key Findings

MeerKAT, a radio telescope situated in South Africa, has been instrumental in observing pulsar signals over five years. Researchers have identified a gravitational wave background pattern, described as stronger than earlier experiments suggested. This unexpected strength indicates that supermassive black hole collisions may be more frequent than current theories predict, leading to further questions about the nature of these massive entities.

Mapping Cosmic Ripples

The detector’s sensitivity has allowed astronomers to generate detailed maps of the gravitational wave background, as stated in the study. The results support the hypothesis that this background stems from supermassive black hole activity, though alternative explanations, such as early universe events following the Big Bang, remain under investigation.

Next Steps in Research

Scientists are collaborating under the International Pulsar Timing Array to consolidate global data and confirm findings. According to the study, the mapping of this background is critical for understanding the universe’s structure and may unveil the origins of gravitational waves.

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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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