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Researchers at the Center of Excellence in Space Sciences India at IISER Kolkata have discovered a new relationship between the Sun’s magnetic field and its sunspot cycle, that can help predict when the peak in solar activity will occur. Their work indicates that the maximum intensity of solar cycle 25, the ongoing sunspot cycle, is imminent and likely to occur within a year. The new research appears in Monthly Notices of the Royal Astronomical Society: Letters.

Our star, the Sun, is made up of hot ionized gas known as plasma.

Huge plasma flows and convection conspire together to form magnetic fields inside the Sun which manifest on the surface as dark spots.

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Summary: Researchers developed an AI-based method to track neurons in moving and deforming animals, a significant advancement in neuroscience research. This convolutional neural network (CNN) method overcomes the challenge of tracking brain activity in organisms like worms, whose bodies constantly change shape.

By employing ‘targeted augmentation’, the AI significantly reduces the need for manual image annotation, streamlining the neuron identification process. Tested on the roundworm Caenorhabditis elegans, this technology has not only increased analysis efficiency but also deepened insights into complex neuronal behaviors.

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After months of teasing us, Google is starting to roll out its generative artificial intelligence model, Gemini.

The new model, which will be launched in phases, is Google’s chance to thwart the narrative that it’s fallen behind rivals such as OpenAI.

But while users will have access to Gemini this month, the most advanced version of the model won’t arrive until early next year.

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Scientists have created tiny, self-assembling robots made from human cells that could one day repair damaged skin and tissue.

These tiny biological machines, called Anthrobots, are made from human tracheal cells without any genetic modification. Lab dish experiments revealed they can encourage neurons, or nerve cells, to grow in damaged tissue.

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A radical theory that consistently unifies gravity and quantum mechanics while preserving Einstein’s classical concept of spacetime is announced today in two papers published simultaneously by UCL (University College London) physicists.

Modern physics is founded upon two pillars: quantum theory on the one hand, which governs the smallest particles in the universe, and Einstein’s theory of general relativity on the other, which explains gravity through the bending of spacetime. But these two theories are in contradiction with each other and a reconciliation has remained elusive for over a century.

Challenging the status quo: a new theoretical approach.

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The field of attosecond physics was established with the mission of exploring light–matter interactions at unprecedented time resolutions. Recent advancements in this field have allowed physicists to shed new light on the quantum dynamics of charge carriers in atoms and molecules.

A technique that has proved particularly valuable for conducting research in this field is RABBITT (i.e., the Reconstruction of Attosecond Beating By Interference of Two-photon Transitions). This promising tool was initially used to characterize , as part of a research effort that won this year’s Nobel Prize, yet it has since also been employed to measure other ultrafast physical phenomena.

Researchers at East China Normal University and Queen’s University Belfast recently built on the RABBITT technique to distinctly measure individual contributions in photoionization. Their paper, published in Physical Review Letters, introduces a new highly promising method for conducting attosecond physics research.

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The development of artificial intelligence poses potential risks to society and requires a shift in goal definitions, consideration of the motivational landscape, and wisdom to prevent self-extinction and promote sustainability.

On this episode, Daniel Schmachtenberger returns to discuss a surprisingly overlooked risk to our global systems and planetary stability: artificial intelligence.

Through a systems perspective, Daniel and Nate piece together the biophysical history that has led humans to this point, heading towards (and beyond) numerous planetary boundaries and facing geopolitical risks all with existential consequences.

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Recent technological advancements have opened invaluable opportunities for assisting people who are experiencing impairments or disabilities. For instance, they have enabled the creation of tools to support physical rehabilitation, to practice social skills, and to provide daily assistance with specific tasks.

Researchers at Meta AI recently developed a promising and non-invasive method to decode speech from a person’s brain activity, which could allow people who are unable to speak to relay their thoughts via a computer interface. Their proposed method, presented in Nature Machine Intelligence, merges the use of an imaging technique and machine learning.

“After a stroke, or a brain disease, many patients lose their ability to speak,” Jean Remi King, Research Scientist at Meta, told Medical Xpress. “In the past couple of years, major progress has been achieved to develop a neural prosthesis: a device, typically implanted on the motor cortex of the patients, which can be used, through AI, to control a computer interface. This possibility, however, still requires brain surgery, and is thus not without risks.”

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Recently, economists and behavioral scientists have studied the pattern of human well-being over the lifespan. In dozens of countries, and for a large range of well-being measures, including happiness and mental health, well-being is high in youth, falls to a nadir in midlife, and rises again in old age. The reasons for this U-shape are still unclear. Present theories emphasize sociological and economic forces. In this study we show that a similar U-shape exists in 508 great apes (two samples of chimpanzees and one sample of orangutans) whose well-being was assessed by raters familiar with the individual apes. This U-shaped pattern or “midlife crisis” emerges with or without use of parametric methods. Our results imply that human well-being’s curved shape is not uniquely human and that, although it may be partly explained by aspects of human life and society, its origins may lie partly in the biology we share with great apes. These findings have implications across scientific and social-scientific disciplines, and may help to identify ways of enhancing human and ape well-being.

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