Lifeboat Foundation: Safeguarding Humanity
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In this premier episode of Lifespan News, Brent Nally discusses Unity Biotechnology’s human trials of novel senolytic drugs, including a Phase 2 human trial of a senolytic drug for knee osteoarthritis; two proteins that allow LDL cholesterol to enter our cells; Ponce de Leon Health and epigenetic age reversal; the reason why naked mole rats are so resistant to cancer; XPrize adding longevity to its impact roadmaps; and a promo code for Ending Age-Related Diseases 2020, our upcoming online conference.

You can get your ticket to EARD2020 at https://www.eventbrite.com/e/ending-age-related-diseases-202…4918805703

0:00 Introduction
0:51 Unity Biotechnology Updates
1:43 Proteins & LDL: https://www.lifespan.io/news/two-proteins-allow-ldl-cholesterol-into-our-cells/
2:17 Epigenetic Age Reversal: https://www.lifespan.io/news/pilot-study-results-suggest-epi…-reversal/
3:18 Naked Mole Rat
4:11 XPrize and Longevity: https://www.xprize.org/articles/future-of-longevity-blog-post
4:50 Additional Information and Outro

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A second fan on the rear then pushes air behind the craft, driving it forward. Rudders behind this thrust fan turn the craft. It may be a hovercraft at its core, but like regular cars on the street, it has got headlights, navigation lamps, cockpit lights, as well as a flux capacitor — that’s the coloured lights around the perimeter. The hovercraft took a total of four-and-a-half years to build.

So, piloting the hovercraft feels like driving a car that’s constantly sliding around on ice. You got your foot pedal and steering wheel and it feels like you’re in a car, but you are just sliding around every way with no friction.

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The Universe isn’t just a random scattering of galaxies sprinkled throughout an expanding void. The closer we look, the more we see that there are structures — some of which are incomprehensibly vast groupings and clusters of galaxies that are gravitationally bound together.

Such a structure has just been discovered arcing across the southern edge of the sky, and it’s a colossus, spanning an immense 1.37 billion light-years from end to end. Its discoverers have named it the South Pole Wall.

Although the size is remarkable — it’s one of the largest structures in space we’ve ever seen — we know exactly what the South Pole Wall is. It’s a galaxy filament, a huge formation of galaxies that forms a border between the empty spaces of cosmic voids that together form the cosmic web. Hence, we call it a wall.

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Robotic landers and rovers have been touching down on Mars since the 1970s, but when will humanity finally set foot on the Red Planet?

Experts believe the technical challenges are nearly resolved, but political considerations make the future of any crewed mission uncertain.

NASA’s human lunar exploration program, Artemis, envisions sending people back to the Moon by 2024 and using the experience gained there to prepare for Mars.

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Recently, Tesla filed a patent called ‘Systems and methods for adapting a neural network on a hardware platform.’ In the patent, they described the systems and methods to select a neural network model configuration that satisfies all constraints.

According to the patent, the constraints mainly include an embodiment that computes a list of valid configurations and a constraint satisfaction solver to classify valid configurations for the particular platform, where the neural network model will run efficiently.

The Reason Behind the Patent.

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The 400 kilogram wheeled system moves about the lab guided by LIDAR laser scanners and has an industrial robotic arm made by German firm Kuka that it uses to carry out tasks like weighing out solids, dispensing liquids, removing air from the vessel, and interacting with other pieces of equipment.

In a paper in Nature, the team describes how they put the device to work trying to find catalysts that speed up reactions that use light to split water into hydrogen and oxygen. To do this, the robot used a search algorithm to decide how to combine a variety of different chemicals and updated its plans based on the results of previous experiments.

The robot carried out 688 experiments over 8 days, working for 172 out of 192 hours, and at the end it had found a catalyst that produced hydrogen 6 times faster than the one it started out with.

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