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Astronomers have identified a rare phenomenon involving five dwarf galaxies positioned in a near-linear arrangement, resembling a cosmic string of pearls. Located approximately 117 million light-years from Earth, these galaxies are held together by mutual gravitational forces. While some among them interact harmoniously, others are involved in a gravitational pull that disrupts their structure, stripping away gas and stars. This rare grouping raises questions about existing models of galaxy formation and evolution.

Insights from Observations

The study was published in November in The Astrophysical Journal Letters. As per the study, the galaxies, labelled D1 to D5, are characterised by low mass, faint luminosity, and high gas content. Despite their size, all five are undergoing active star formation, which is considered unusual for galaxies of this scale within a group.

Their nearly perfect alignment further distinguishes them, making this configuration an exceptional discovery. The Sloan Digital Sky Survey (SDSS) data played a key role in identifying these galaxies, with additional data from various astronomical surveys contributing to the research.

Unique Characteristics and Dynamics

Space.com reports that the study indicates that the combined mass of the five galaxies is estimated at 60.2 billion solar masses. The largest, designated D2, has a mass of 275 million suns, while the smallest, D4, is equivalent to 14.7 million solar masses.

The discovery is notable due to the rarity of such closely grouped dwarf galaxies, as fewer than 5 percent of them are found with nearby companions. Three galaxies in the group exhibit synchronised rotational motion, described as a “cosmic dance,” suggesting potential clues about shared origins or environmental influences.

Challenges to Existing Models

The interaction between some galaxies in the group creates tidal tails of stars and gas, triggered by gravitational forces. As per space.com, experts said that these interactions often initiate star formation and alter galactic shapes over time. The alignment and dynamics of this grouping challenge the Lambda Cold Dark Matter model, which struggles to explain the emergence of such small, isolated groups. Scientists view this as an opportunity to refine their understanding of cosmic evolution.

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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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