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But in black holes, where a lot of mass is crammed into a very small region of space, these worlds collide and there is no theoretical framework that unifies the two.

“We have a great understanding of both individually, but it turns out extremely hard to combine these two theories,” says Weinfurtner. “The idea is that we want to understand how quantum physics behaves, on what we call a curved space time geometry.”

In the new setup, the black hole is represented by a tiny vortex inside a bell jar of superfluid helium, cooled to-271C. At this temperature, helium begins to demonstrate quantum effects. Unlike water, which can spin at a continuous range of speeds, the helium vortex can only swirl at certain fixed values. Ripples sent across the surface of the helium, tracked with nanometre precision by lasers and a high-resolution camera, represent radiation approaching a black hole.

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Consider it a technological solution to the problem of death.

Over the last couple years, I’ve been writing about creating ghosts — perhaps an inevitability in the midst of a pandemic.

Artur Sychov, founder and CEO of metaverse company Somnium Space, has joined the quest against loss. Using motion capture and voice data, he wants to create duplicate avatars that can move as you moved and speak as you spoke, using your voice.

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An international group of experts argue that tackling the long-standing challenge of decoding the communication systems of whales, crows, bats, and other animals is coming within reach, following breath-taking advances in artificial intelligence (AI) research.

In an article published in Science, led by Professor Christian Rutz from the School of Biology at the University of St Andrews, the authors explain how cutting-edge machine-learning tools could provide transformative insights into the hidden lives of animals, with important implications for their conservation.

The prospect of understanding what animals say to each other, or of even initiating a conversation with another species, has fired humans’ imagination for millennia. But since there is no Rosetta Stone for translating animals’ communication signals, their meaning must be deciphered through careful observation and experimentation. Despite good research progress over the past few decades, collecting and analyzing data is a challenging task. For example, annotating recordings of bird calls, whale songs or primate gestures is time-consuming, and even experienced biologists often struggle to differentiate seemingly similar signal types.

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BENGALURU, July 14 (Reuters) — India’s space agency launched a rocket on Friday that sent a spacecraft into orbit and toward a planned landing next month on the lunar south pole, an unprecedented feat that would advance India’s position as a major space power.

The Indian Space Research Organisation’s (ISRO) LVM3 launch rocket blasted off from the country’s main spaceport in the southern state of Andhra Pradesh on Friday afternoon, leaving behind a plume of smoke and fire.

About 16 minutes later, ISRO’s mission control announced that the rocket had succeeded in putting the Chandrayaan-3 lander into an Earth orbit that will send it looping toward a moon landing next month.

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There’s a reason the saying “that’s why we test” exists. I’ve seen it a lot in my mentions the past few days. Unfortunately, and crucially, it ignores that tests happen for different reasons.

Let’s get into that, especially in light of the recently unveiled explosion of a BE-4 rocket engine during Blue Origin’s testing in Texas. The engine was bound for the second launch of its customer United Launch Alliance’s Vulcan rocket.

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Viasat shares plunged sharply Thursday in the wake of the announcement.

The first ViaSat-3, launched last April, was expected to provide space-based internet access to customers in the western hemisphere starting this summer. Two more satellites covering Europe, Africa, Asia and the Pacific are expected to launch over the next two years.

Capable of handling up to 1 terabyte of data per second, the satellites are equipped with the largest dish antennas ever launched on a commercial spacecraft. Each satellite’s reflector is designed to deploy atop a long boom.

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With artificial intelligence poised to assist in profound scientific discoveries that will change the world, Cornell is leading a new $11.3 million center focused on human-AI collaboration that uses mathematics as a common language.

The Scientific Artificial Intelligence Center, or SciAI Center, is being launched with a grant from the Office of Naval Research and is led by Christopher J. Earls, professor of civil and environmental engineering at Cornell Engineering. Co-investigators include Nikolaos Bouklas, assistant professor of mechanical and aerospace engineering at Cornell Engineering; Anil Damle, assistant professor of computer science in the Cornell Ann S. Bowers College of Computing and Information Science; and Alex Townsend, associate professor of mathematics in the College of Arts and Sciences. All of the investigators are field faculty members of the Center for Applied Mathematics.

With the advance of AI systems – built with tangled webs of algorithms and trained on increasingly large sets of data – researchers fear AI’s inner workings will provide little insight into its uncanny ability to recognize patterns in data and make scientific predictions. Earls described it as a situation at odds with true scientific discovery.

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For a long time, neuroscientists believed that the neurons you are born with are the neurons you have for the rest of your life, and any neuron lost will not be replaced. Recent research has shown that specific brain regions contain neural stem cells that can generate new neurons. In this talk, Dr Daniel Berg of the University of Aberdeen will discuss what we know about these stem cells and what we can do to activate them to generate more neurons.

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Patreon: https://www.patreon.com/seanmcarroll.
Blog post with audio player, show notes, and transcript: https://www.preposterousuniverse.com/podcast/2023/05/15/236-…al-theory/

Is there a multiverse, and if so, how should we think of ourselves within it? In many modern cosmological models, the universe includes more than one realm, with possibly different laws of physics, and these realms may or may not include intelligent observers. There is a longstanding puzzle about how, in such a scenario, we should calculate what we, as presumably intelligent observers ourselves, should expect to see. Today’s guest, Thomas Hertog, is a physicist and longstanding collaborator of Stephen Hawking. They worked together (often with James Hartle) to address these questions, and the work is still ongoing.

Thomas Hertog received his Ph.D. in physics from Cambridge University. He is currently a professor of theoretical physics at KU Leuven. His new book is On the Origin of Time: Stephen Hawking’s Final Theory.

Mindscape Podcast playlist: https://www.youtube.com/playlist?list=PLrxfgDEc2NxY_fRExpDXr87tzRbPCaA5x.

Continue reading “Mindscape 236 | Thomas Hertog on Quantum Cosmology and Hawking’s Final Theory” | >