Lifeboat Foundation: Safeguarding Humanity
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Hyperloop One completed the first full-scale test of its hyperloop technology in a vacuum environment on May 12th, the company announced today. In the test, the company’s hyperloop vehicle — which uses magnetic levitation, or mag-lev, technology — pulled 2 Gs while reaching 70 miles per hour down the length of the company’s test track in Nevada.

Hyperloop One also shared images of its new pod with The Verge. The aerodynamic pod is 28 feet long and constructed of structural aluminum and carbon fiber. Using electromagnetic propulsion and mag-lev technology, it’s designed to carry both cargo and human passengers at near supersonic speeds, Hyperloop One says.

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Link to Prof. George Church’s website.

Prof. Chuch’s Bio

George Church is Professor of Genetics at Harvard Medical School and Director of Personal Genome Project, the world’s only open-access information on human Genomic, Environmental & Trait data (GET). Prof. Chruch recieved his PhD in 1984 at Harvard University, his PhD thesis included the first methods for direct genome sequencing, molecular multiplexing & barcoding.

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Language patterns could be predicted by simple laws of physics, a new study has found.

Dr James Burridge from the University of Portsmouth has published a theory using ideas from physics to predict where and how dialects occur.

He said: “If you want to know where you’ll find dialects and why, a lot can be predicted from the physics of bubbles and our tendency to copy others around us.

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As moviemaking becomes as much a science as an art, the moviemakers need ever-better ways to gauge audience reactions. Did they enjoy it? How much… exactly? At minute 42? A system from Caltech and Disney Research uses a facial expression tracking neural network to learn and predict how members of the audience react, perhaps setting the stage for a new generation of Nielsen ratings.

The research project, just presented at IEEE’s Computer Vision and Pattern Recognition conference in Hawaii, demonstrates a new method by which facial expressions in a theater can be reliably and relatively simply tracked in real time.

It uses what’s called a factorized variational autoencoder — the math of it I am not even going to try to explain, but it’s better than existing methods at capturing the essence of complex things like faces in motion.

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