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Archaeologists from University College Dublin, working with colleagues from Serbia and Slovenia, have uncovered a previously unknown network of massive sites in the heart of Europe that could explain the emergence of the continent’s Bronze Age megaforts—the largest prehistoric constructions seen prior to the Iron Age.

Using and aerial photography to stitch together the prehistoric landscape of the south Carpathian Basin in Central Europe, the team discovered more than 100 sites belonging to a complex society.

Their commonplace use of defensible enclosures was a precursor and likely influence behind the famous hillforts of Europe, built to protect communities later in the Bronze Age.

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A fundamental question in neuroscience is what are the constraints that shape the structural and functional organization of the brain. By bringing biological cost constraints into the optimization process of artificial neural networks, Achterberg, Akarca and colleagues uncover the joint principle underlying a large set of neuroscientific findings.

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Join Brian Greene and Juan Maldacena as they explore a wealth of developments connecting black holes, string theory, quantum gravity, quantum entanglement, wormholes, and the holographic principle.

This program is part of the Big Ideas Series, made possible with support from the John Templeton Foundation.

WSF Landing Page Link: https://www.worldsciencefestival.com/programs/string-theory-…holograms/

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“It’s really simple to define this problem,” said Marcin Bieńkowski, an algorithms researcher at the University of Wrocław in Poland. But it “turns out to be bizarrely difficult.” Since researchers began attacking the k-server problem in the late 1980s, they have wondered exactly how well online algorithms can handle the task.

Over the decades, researchers began to believe there’s a certain level of algorithmic performance you can always achieve for the k-server problem. So no matter what version of the problem you’re dealing with, there’ll be an algorithm that reaches this goal. But in a paper first published online last November, three computer scientists showed that this isn’t always achievable. In some cases, every algorithm falls short.

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Quantum scientists have discovered a rare phenomenon that could hold the key to creating a ‘perfect switch’ in quantum devices which flips between being an insulator and a superconductor.

The research, led by the University of Bristol and published in Science, found these two opposing electronic states exist within purple bronze, a unique one-dimensional metal composed of individual conducting chains of atoms.

Tiny changes in the material, for instance, prompted by a small stimulus like heat or light, may trigger an instant transition from an insulating state with zero conductivity to a superconductor with unlimited conductivity, and vice versa. This polarized versatility, known as “emergent symmetry,” has the potential to offer an ideal On/Off switch in future quantum technology developments.

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The supermassive black hole at the heart of our galaxy isn’t just spinning — it’s doing so at almost maximum speed, dragging anything near it along for the ride.

Physicists calculated the rotational speed of the Milky Way’s supermassive black hole, called Sagittarius A* (Sgr A•, by using NASA’s Chandra X-ray Observatory to view the X-rays and radio waves emanating from outflows of material.

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Investors are always looking for the next great breakthrough in technology. As computers are indispensable tools for managing everything from finance to healthcare and smart cities, it only makes sense to look at the next stage of development and A-rated quantum computing stocks.

Quantum computing is still in its early stages, but companies are already making inroads. Zapata surveyed executives at 300 companies with revenues of $250 million and computing budgets over $1 million. Of those, over two-thirds spent more than $1 million annually to develop quantum computing applications.

Quantum computer stocks represent companies trying to revolutionize cryptography, optimization, drug discovery and artificial intelligence. It holds promise for solving complex problems currently infeasible for classical computers due to their exponential time requirements.

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