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Distant supermassive black holes, far larger than expected, have been detected in the early universe. Observations using the James Webb Space Telescope (JWST) indicate that these black holes hold a mass nearly 10 percent of their host galaxy’s stellar mass, a stark contrast to the 0.01 percent ratio observed in modern galaxies. This anomaly has raised new questions regarding the rapid formation and growth of black holes in the early stages of cosmic history.

Research Findings on Black Hole Growth

According to the study published in the paper repository arXiv, a team led by Jorryt Matthee, a scientist at the Institute of Science and Technology Austria (ISTA), analysed data from JWST. The findings suggest that some early galaxies, identified as “little red dot” galaxies, contain supermassive black holes with masses nearly 1,000 times higher than previously estimated norms. These galaxies, observed from a time when the universe was around 1.5 billion years old, exhibit an unusual balance between stellar mass and black hole mass, challenging existing growth models.

Implications for Early Universe Cosmology

As per reports, these small galaxies exhibit a red hue due to the presence of an accretion disk surrounding the black holes. The intense gravitational pull allows for rapid matter consumption, potentially accelerating black hole expansion beyond current theoretical expectations. The study indicates that the density of surrounding gas in the early universe may have facilitated this extraordinary growth. Matthee stated to Space.com that these findings provide a promising avenue for further understanding black hole evolution.

Further Observations Needed

Researchers emphasise the need for additional studies to confirm whether measurement errors or selection bias contributed to these unexpected results. Ongoing observations with JWST aim to refine the understanding of early black hole formation, shedding light on whether these supermassive black holes were nurtured by dense galactic environments or formed through alternative mechanisms, such as direct gas collapse. The findings suggest that black holes and star formation are more interconnected than previously thought, prompting a reassessment of cosmic evolution models.

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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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