Lifeboat Foundation

We are using A.I. and Computer Vision Techniques to Determine Age and Assess the Effect of Therapies Against Aging in Mice, Increasing the Pace of Life Extension Research. Please subscribe, share, and fund our campaign today! ►Campaign Link: https://www.lifespan.io/mouseage ►Subscribe: https://www.youtube.com/user/LifespanIO?sub_confirmation=1

MouseAGE is working to develop the first photographic biomarker of aging in mice to help validate potential anti-aging interventions, save animal lives, and greatly speed up the pace of longevity research.

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Pioneered by Erik Verlinde, the idea is that gravity emerges from a more fundamental phenomenon in the Universe, and that phenomenon is entropy.

“Sound waves emerge from molecular interactions; atoms emerge from quarks, gluons and electrons and the strong and electromagnetic interactions; planetary systems emerge from gravitation in General Relativity. But in the idea of entropic gravity — as well as some other scenarios (like qbits) — gravitation or even space and time themselves might emerge from other entities in a similar fashion. There are well-known, close relationships between the equations that govern thermodynamics and the ones that govern gravitation. It’s known that the laws of thermodynamics emerge from the more fundamental field of statistical mechanics, but is there something out there more fundamental from which gravity emerges? That’s the idea of entropic gravity.”

Continue reading “Are Space, Time, And Gravity All Just Illusions?” »

The challenge with bipedal robots isn’t so much getting them to walk at all (although that’s sometimes a problem) as it is getting them to walk naturally. They tend to either step cautiously or quickly run into trouble. Swiss researchers think they can do better, though: they’re working on COMAN (Compliant Humanoid), a headless robot designed to master walking. The automaton is more graceful through a combination of more flexible, elastic joints and a control algorithm that helps the bot understand its own body.

COMAN is aware of the symmetries in its dynamics and structure, which helps it not only walk with a natural gait but carry objects, navigate uneven surfaces like stairs, and react to surprises. If you push the robot, for instance, it knows exactly where to place its foot so that it doesn’t tip over like some of its peers. And thanks to that added flexibility, it’s more likely to survive that rudeness.

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https://youtube.com/watch?v=BsKkqigDRmU

Trying to outrun the expiration of Moore’s Law.

As conventional microchip design reaches its limits, DARPA is pouring money into the specialty chips that might power tomorrow’s autonomous machines.

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In addition to opening the lab, Facebook has committed about $5.75 million to support AI research at McGill, the University of Montreal, the Montreal Institute of Learning Algorithms and the Canadian Institute for Advanced Research, the company said in a Facebook blog post on Friday. Alphabet and Microsoft also have invested in AI at McGill and the University of Montreal.

The move comes a week after IBM said it would spend $240 million on a new AI lab in partnership with the Massachusetts Institute of Technology.

Facebook will support Canadian AI research in addition to setting up a lab in Montreal.

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The ‘singularity’ event that scientists talk about in artificial intelligence (AI) — when robots would outsmart human beings in reasoning — has just been moved up, according to a top scientist at HP Inc. The progress in AI and machine learning has been so rapid that scientists have upped the estimate for the ‘singularity’ to happen in 2029 from 2040, shaving off 11 years of development time, says Shane Wall, Chief Technology Officer at HP, who also heads the HP Labs which is at the centre of innovation within the company.

Wall, who was speaking at the HP Reinvent Partner Forum here, said there may be some who watch with fear for that event to happen but taken adequate precautions, this change would bring in much good for everyone — be it in manufacturing, health, innovation or elsewhere. He said AI handles huge amount of data and can discern patterns to take decisions. “Machine learning uses AI and big data to learn and it can find things that no humans can see,” Wall noted.

According to him, already there are massive data farms which are crunching big numbers and there are research labs and companies where machines are taught how to use data to managing things around us. Wall, who joined HP over a decade ago, drives the company’s technology vision and its strategy and helms the innovation community within. According to him, machines have become smart enough to predict failures within a system and 3D manufacturing is a massive revolution in the making. “Already, 3D printing is handling intricate products and in the future this will bring about a disruptive change,” Wall said.

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Humanity has been attempting to measure and assess beauty long before anyone even knew about computers and algorithms. Surprisingly, a new technology may help to solve the ancient question that mankind has struggled to answer: what is universal beauty? And perhaps even more intriguingly, it might help us in aging research.

Leonardo da Vinci attempted to capture the essence of beauty in his famous drawing, Vitruvian Man, through the use of geometrically equal proportions. This drawing was based on the writing of Roman architect Vitruvius in his treatise De Architectura.

According to Plato, beauty was an idea or form of which beautiful things were a consequence. He suggested that beauty was found when the sum of parts became a harmonious whole.

Jianxiong Xiao aims to make self-driving cars as widely accessible as computers are today. He’s the founder and CEO of AutoX, which recently demonstrated an autonomous car built not with expensive laser sensors but with ordinary webcams and some sophisticated computer-vision algorithms. Remarkably, the vehicle can navigate even at night and in bad weather.

AutoX hasn’t revealed details of its software, but Xiao is an expert at using deep learning, an AI technique that lets machines teach themselves to perform difficult tasks such as recognizing pedestrians from different angles and in different lighting.

Growing up without much money in Chaozhou, a city in eastern China, Xiao became mesmerized by books about computers—fantastic-sounding machines that could encode knowledge, logic, and reason. Without access to the real thing, he taught himself to touch-type on a keyboard drawn on paper.

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While physicists have managed to wrap their minds around chaos theory in the macroscopic world, chaos also has its way at the quantum scale. And in many ways quantum chaos is even more perplexing than its large-scale counterpart.

Which is why it’s such a big deal that researchers have now presented a single equation that can predict how quantum chaos behaves.

This equation effectively explains the patterns within quantum chaos at the atomic level, and it could contribute to our understanding of everything from brain surgery to string theory.

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