Lifeboat Foundation

Pleasanton-based green energy startup NDB, Inc. has reached a key milestone today with the completion of two proof of concept tests of its nano diamond battery (NDB). One of these tests took place at the Lawrence Livermore National Laboratory, and the other at the Cavendish Laboratory at Cambridge University, and both saw NDB’s battery tech manage a 40% charge, which is a big improvement over the 15% charge collection efficiency (effectively energy lossiness relative to maximum total possible charge) of standard commercial diamond.

NDB’s innovation is in creating a new, proprietary nano diamond treatment that allows for more efficient extraction of electric charge from the diamond used in the creation of the battery. Their goal is to ultimately commercialize a version of their battery that can self-charge for up to a maximum lifespan of 28,000 years, created from artificial diamond-encased carbon-14 nuclear waste.

This battery doesn’t generate any carbon emissions in operation, and only requires access to open air to work. And while they’re technically batteries, because they contain a charge which will eventually be expended, they provide their own charge for much longer than the lifetime of any specific device or individual user, making them effectively a charge-free solution.

Basically it behaves like a bioweapon as it has a spread that has encompassed the earth.

US intelligence officials are probing the possibility that America’s enemies might use the coronavirus as a bioweapon, according to an alarming report.

The Department of Defense is monitoring for the potential of the virus to be weaponized, possibly against prominent, high-level targets, three people close to the matter told Politico.

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The US Air Force just demoed its first flying car. It wants to have 30 different eVTOL craft in its arsenal by 2030, there are many more to come.

Scientists led by Nanyang Technological University, Singapore (NTU Singapore) have developed a novel method of using fruit peel waste to extract and reuse precious metals from spent lithium-ion batteries in order to create new batteries.

The team demonstrated their concept using orange peel, which recovered precious metals from battery waste efficiently. They then made functional batteries from these recovered metals, creating minimal waste in the process.

The scientists say that their waste-to-resource approach tackles both food waste and electronics waste, supporting the development of a circular economy with zero waste, in which resources are kept in use for as long as possible. An estimated 1.3 billion tons of food waste and 50 million tons of e-waste are generated globally each year.

The Hubble Space Telescope spotted Comet NEOWISE after the object survived its closest approach to the sun.

He claims that humans risk being overtaken by AI within the next five years, and that AI could eventually view us in the same way we currently view house pets.

“I don’t love the idea of being a house cat, but what’s the solution?” he said in 2016, just months before he founded Neuralink. “I think one of the solutions that seems maybe the best is to add an AI layer.”

Amazon’s latest drone patent points at a new way of using a drone that doesn’t involve delivering packages. Amazon wants to replace ski lifts. The drone uses a rope to pull people up the side of a mountain, just like Casey Neistat did in this video in December 2016.

WIREDNew research from the Japanese Tanpopo mission adds to scientists’ understanding of how living organisms can endure the hostile environment.

While Photoshop can do a pretty good job at removing shadows from faces, there’s a fair amount of legwork involved. One scientist has shown that neural networks and artificial intelligence can produce some very impressive results, suggesting that it will soon be a part of how we edit our photos.

Károly Zsolnai-Fehér of Two Minute Papers and the Institute of Computer Graphics and Algorithms, Vienna University of Technology, Austria, just released a video demonstrating how he has taught a neural network using large data sets to recognize and eliminate shadows from a face in a photograph. As detailed in the video, the neural network was taught by giving it photographs of faces to which shadows had been added artificially.

Given its effectiveness and the quality of the results, it seems only a matter of time before smartphones give you the option to remove shadows. In theory, you might even be able to switch on shadow removal while taking the photograph.