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A breakthrough in theoretical physics has led to a fresh understanding of black hole formation, suggesting they can emerge purely from gravitational effects without requiring exotic matter. This advancement challenges long-standing notions derived from General Relativity, where singularities are predicted to exist at the core of black holes, causing the breakdown of physical laws. Researchers from the Institute of Cosmos Sciences of the University of Barcelona (ICCUB) have put forth a mathematical framework demonstrating that an infinite series of higher-order gravitational corrections can eliminate singularities, paving the way for the existence of regular black holes.

New Model Challenges Previous Assumptions

According to the study published in Physics Letters B, traditional models relied on exotic matter—hypothetical substances with negative energy density—to counteract singularities. However, this new research establishes that modifications to Einstein’s equations, as predicted by quantum gravity, suffice to generate black holes without singularities. The findings indicate that pure gravity alone can achieve this phenomenon, streamlining the theoretical framework required to explain black hole formation.

In an interview with Physics Letters B, Pablo A. Cano, a researcher from the Department of Quantum Physics and Astrophysics at ICCUB, stated, to phys.org that the beauty of the construction is that it is based only on modifications of the Einstein equations predicted naturally by quantum gravity. No other components are needed.

Application to Higher-Dimensional Space-Time

The research primarily applies to space-time dimensions of five or more due to technical simplifications in the calculations. Despite this, scientists believe similar conclusions would hold in four-dimensional space-time, aligning with the physical universe as currently understood. Robie Hennigar, a researcher at ICCUB, explained to phys.org, that most scientists agree that the singularities of general relativity must ultimately be resolved, although very little is known about how this process might be achieved. He further stated that their work provides the first mechanism to achieve this in a robust way, albeit under certain symmetry assumptions.

Implications for Astrophysics and Thermodynamics

Beyond addressing singularities, the study also evaluates the thermodynamic properties of these black holes, confirming that they adhere to the first law of thermodynamics. The robustness of this theoretical model strengthens its potential applicability to real astrophysical scenarios. Plans are in place to further examine the implications in four-dimensional space-time, assess stability, and explore potential observational signatures of these regular black holes.

Hennigar further added that it is not yet clear how nature prevents the formation of singularities in the universe, but they are hoping that their model will help them gain a better understanding of this process.

Ongoing research continues to investigate the fate of matter falling into these singularity-free black holes, with expectations of significant findings in the near future.

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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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