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The tech giant wants to be known for more than social media’s ills.

Facebook is planning to change its company name next week to reflect its focus on building the metaverse, according to a source with direct knowledge of the matter.

The coming name change, which CEO Mark Zuckerberg plans to talk about at the company’s annual Connect conference on October 28th, but could unveil sooner, is meant to signal the tech giant’s ambition to be known for more than social media and all the ills that entail. The rebrand would likely position the blue Facebook app as one of many products under a parent company overseeing groups like Instagram, WhatsApp, Oculus, and more. A spokesperson for Facebook declined to comment for this story.

Facebook already has more than 10,000 employees building consumer hardware like AR glasses that Zuckerberg believes will eventually be as ubiquitous as smartphones. In July, he told The Verge that, over the next several years, “we will effectively transition from people seeing us as primarily being a social media company to being a metaverse company.”

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The authors present a high-resolution palaeomagnetic record for a Late Cretaceous limestone in Italy. They claim that their record robustly shows a ~12° true polar wander oscillation between 86 and 78 Ma, with the greatest excursion at 84–82 Ma.

The authors propose a new framework, deep evolutionary reinforcement learning, evolves agents with diverse morphologies to learn hard locomotion and manipulation tasks in complex environments, and reveals insights into relations between environmental physics, embodied intelligence, and the evolution of rapid learning.

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SpaceX is hoping to launch its first orbital Starship test flight in the next few months from its Starbase facility in Texas and a new video captures the company’s work so far on the massive rocket.

The 90-second montage, which SpaceX showed off on Twitter, offers views of the company’s massive Starship spacecraft being wheeled to the launch pad, taking off, performing complex flips and then landing safely on the ground. You also catch a glimpse of Earth from up high.

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A NASA telescope might have found the first ever planet outside of our own Milky Way galaxy.

If confirmed, the world would be thousands of times further away than the many exoplanets we have found in our own galaxy so far.

Scientists were able to do so using NASA’s Chandra X-ray Observatory, using techniques that could allow for the search for other worlds to dramatically the amount of space it is able to scan.

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Immunotherapy is a promising strategy to treat cancer by stimulating the body’s own immune system to destroy tumor cells, but it only works for a handful of cancers. MIT

MIT is an acronym for the Massachusetts Institute of Technology. It is a prestigious private research university in Cambridge, Massachusetts that was founded in 1861. It is organized into five Schools: architecture and planning; engineering; humanities, arts, and social sciences; management; and science. MIT’s impact includes many scientific breakthroughs and technological advances.

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“The Rejuvenome Project was launched to target these bottlenecks,” said Nicholas Schaum, PhD, Scientific Director at the Astera Institute. “We hope to do that by characterising treatments and regimens, both established and newly invented, for which we have reason to believe improve health and longevity.”

Previously, Schaum worked as a researcher at Stanford University, California, in conjunction with the Chan Zuckerberg BioHub. He organised dozens of labs and hundreds of researchers into a consortium that produced cell atlases, to characterise aging tissues in mice. These cell atlases became the foundation for Schaum’s further studies into whole-organ aging and single-cell parabiosis.

The Rejuvenome Project is expected to be complete in 2028. All wet lab operations will be centred at Buck, while the dry lab computational aspects will reside at the Astera Institute.

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Researchers report the human brain may use next word prediction to drive language processing.

Source: MIT

In the past few years, artificial intelligence models of language have become very good at certain tasks. Most notably, they excel at predicting the next word in a string of text; this technology helps search engines and texting apps predict the next word you are going to type.

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