Archive for the ‘entertainment’ category: Page 14

May 13, 2019

US Army to test radical ‘Iron Man’ bullet-proof liquid armour

Posted by in category: entertainment

Circa 2016

U.Scientists are working on next-generation combat wear for soldiers inspired by the nano suit worn in the Iron Man films — and say it could be just two years away.

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May 12, 2019

Dream-recording tech is set to begin human test trials next year

Posted by in category: entertainment

Scientists want to capture your dreams like a movie — and human trials of the technology will start next year…

Recording and watching people’s dreams has been the subject of mind-bending films like ‘Until the End of the World,’ ‘Total Recall,’ ‘Strange Days’, ‘Minority Report’ and more recent hits like ‘Inception’ and ‘Captain Marvel’.

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May 10, 2019

Get your head in the game: World’s 1st VR gym opens in San Francisco (VIDEO)

Posted by in categories: computing, entertainment, virtual reality

The world’s first virtual reality gym just opened in San Francisco, offering a next-generation workout via a computer games-based distraction technique that aims to put the fun back into exercising.

Black Box VR promises a gym experience like no other by giving users a full-body workout while virtually immersed in another world that requires them to fight battles and beat their opponent.

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May 10, 2019

What Real-Life Plants Could Groot Have Evolved From?

Posted by in category: entertainment

Circa 2014

Where did Groot come from? In reality, he came from the imaginations of Jack Kirby, Dick Ayers, and Stan Lee. In the Guardians of the Galaxy movie, he came from another planet. In this essay, he came from the stuff in your yard. We’ll see which plants might have evolved, over time, to become the world’s most beloved tree-man. Warning: Major spoilers for the movie after this point!

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May 9, 2019

The power of randomization: Magnetic skyrmions for novel computer technology

Posted by in categories: computing, entertainment, nanotechnology

Researchers at Johannes Gutenberg University Mainz (JGU) have succeeded in developing a key constituent of a novel unconventional computing concept. This constituent employs the same magnetic structures that are being researched in connection with storing electronic data on shift registers known as racetracks. In this, researchers investigate so-called skyrmions, which are magnetic vortex-like structures, as potential bit units for data storage. However, the recently announced new approach has a particular relevance to probabilistic computing. This is an alternative concept for electronic data processing where information is transferred in the form of probabilities rather than in the conventional binary form of 1 and 0. The number 2/3, for instance, could be expressed as a long sequence of 1 and 0 digits, with 2/3 being ones and 1/3 being zeros. The key element lacking in this approach was a functioning bit reshuffler, i.e., a device that randomly rearranges a sequence of digits without changing the total number of 1s and 0s in the sequence. That is exactly what the skyrmions are intended to achieve. The results of this research have been published in the journal Nature Nanotechnology.

The researchers used thin magnetic metallic films for their investigations. These were examined in Mainz under a special microscope that made the magnetic alignments in the metallic films visible. The films have the special characteristic of being magnetized in vertical alignment to the film plane, which makes stabilization of the magnetic skyrmions possible in the first place. Skyrmions can basically be imagined as small magnetic vortices, similar to hair whorls. These structures exhibit a so-called topological stabilization that protects them from collapsing too easily – as a hair whorl resists being easily straightened. It is precisely this characteristic that makes skyrmions very promising when it comes to use in technical applications such as, in this particular case, information storage. The advantage is that the increased stability reduces the probability of unintentional data loss and ensures the overall quantity of bits is maintained.

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May 3, 2019

David Harry Stewart, Founder and CEO of Ageist — IdeaXme — Ira Pastor — “Live Fast, Die Old!”

Posted by in categories: aging, biotech/medical, business, economics, entertainment, finance, futurism, genetics, geopolitics, health

May 2, 2019

Mastering the game of Go without human knowledge

Posted by in categories: entertainment, robotics/AI

Starting from zero knowledge and without human data, AlphaGo Zero was able to teach itself to play Go and to develop novel strategies that provide new insights into the oldest of games.

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May 2, 2019

AlphaGo Zero: Discovering new knowledge

Posted by in categories: entertainment, robotics/AI

DeepMind’s Professor David Silver describes AlphaGo Zero, the latest evolution of AlphaGo, the first computer program to defeat a world champion at the ancient Chinese game of Go. Zero is even more powerful and is arguably the strongest Go player in history.

Previous versions of AlphaGo initially trained on thousands of human amateur and professional games to learn how to play Go. AlphaGo Zero skips this step and learns to play simply by playing games against itself, starting from completely random play. In doing so, it quickly surpassed human level of play and defeated the previously published champion-defeating version of AlphaGo by 100 games to 0.

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May 2, 2019

Deepmind AlphaZero — Mastering Games Without Human Knowledge

Posted by in categories: entertainment, robotics/AI

2017 NIPS Keynote by DeepMind’s David Silver. Dr. David Silver leads the reinforcement learning research group at DeepMind and is lead researcher on AlphaGo. He graduated from Cambridge University in 1997 with the Addison-Wesley award.

Recorded: December 6th, 2017

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May 2, 2019

[1612.03801] DeepMind Lab

Posted by in categories: entertainment, robotics/AI

Abstract: DeepMind Lab is a first-person 3D game platform designed for research and development of general artificial intelligence and machine learning systems. DeepMind Lab can be used to study how autonomous artificial agents may learn complex tasks in large, partially observed, and visually diverse worlds. DeepMind Lab has a simple and flexible API enabling creative task-designs and novel AI-designs to be explored and quickly iterated upon. It is powered by a fast and widely recognised game engine, and tailored for effective use by the research community.

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