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Archive for the ‘entertainment’ category: Page 18

Nov 8, 2017

These 5 pieces of sci-fi movie tech are becoming reality

Posted by in category: entertainment

This tech is straight out of your favorite sci-fi movie!

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Nov 6, 2017

A Neural Network Wrote the Next ‘Game of Thrones’ Book Because George R.R. Martin Hasn’t

Posted by in categories: entertainment, robotics/AI

“The Winds of Winter” is already here … sorta.

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Oct 31, 2017

Why tech giants are investing millions in AI that can play video games

Posted by in categories: entertainment, robotics/AI

For any AI people out there. I’d really like to see an AI get dropped into Ocarina of Time, and then Skyrim. The day an AI can be dropped into those, and complete the entire games, and go out and complete all the weird random tasks, it should be pretty close to human level.


AI just beat a top human professional in the game Dota 2, but the technology could help with much bigger strategic problems.

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Oct 28, 2017

Explorers: Explorers is a idealistic look at the future of space travel, seen from the perspective of those who dare to venture into the unknown

Posted by in category: entertainment

The film is a tribute to science fiction films of my youth and to those real life pioneers that inspire it.

Completed in six weeks and done entirely in Unreal Engine 4. Mainly done for fun, to see if I could put together a decent looking short film using what’s traditionally a games engine.

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Oct 27, 2017

This AR dining experience brings your meal to “life”

Posted by in categories: augmented reality, entertainment

“Dinner and a movie” might never be the same…

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Oct 23, 2017

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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Oct 21, 2017

Google’s artificial intelligence computer ‘no longer constrained by limits of human knowledge’

Posted by in categories: entertainment, robotics/AI

The computer that stunned humanity by beating the best mortal players at a strategy board game requiring “intuition” has become even smarter, its creators claim.

Even more startling, the updated version of AlphaGo is entirely self-taught — a major step towards the rise of machines that achieve superhuman abilities “with no human input”, they reported in the science journal Nature.

Dubbed AlphaGo Zero, the Artificial Intelligence (AI) system learnt by itself, within days, to master the ancient Chinese board game known as “Go” — said to be the most complex two-person challenge ever invented.

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Oct 19, 2017

When you die you KNOW you’re dead: The mind still works say scientists

Posted by in categories: entertainment, neuroscience

A person’s consciousness continues to work after the body has died, a study from New York University Langone School of Medicine finds. The findings echo the new Hollywood film Flatliners.

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Oct 18, 2017

Stunning AI Breakthrough Takes Us One Step Closer to the Singularity

Posted by in categories: entertainment, robotics/AI, singularity

Remember AlphaGo, the first artificial intelligence to defeat a grandmaster at Go? Well, the program just got a major upgrade, and it can now teach itself how to dominate the game without any human intervention. But get this: In a tournament that pitted AI against AI, this juiced-up version, called AlphaGo Zero, defeated the regular AlphaGo by a whopping 100 games to 0, signifying a major advance in the field. Hear that? It’s the technological singularity inching ever closer.

A new paper published in Nature today describes how the artificially intelligent system that defeated Go grandmaster Lee Sedol in 2016 got its digital ass kicked by a new-and-improved version of itself. And it didn’t just lose by a little—it couldn’t even muster a single win after playing a hundred games. Incredibly, it took AlphaGo Zero (AGZ) just three days to train itself from scratch and acquire literally thousands of years of human Go knowledge simply by playing itself. The only input it had was what it does to the positions of the black and white pieces on the board. In addition to devising completely new strategies, the new system is also considerably leaner and meaner than the original AlphaGo.

Now, every once in a while the field of AI experiences a “holy shit” moment, and this would appear to be one of those moments. Looking back, other “holy shit” moments include Deep Blue defeating Garry Kasparov at chess in 1997, IBM’s Watson defeating two of the world’s best Jeopardy! champions in 2011, the aforementioned defeat of Lee Sedol in 2016, and most recently, the defeat of four professional no-limit Texas hold’em poker players at the hands of Libratus, an AI developed by computer scientists at Carnegie Mellon University.

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Oct 18, 2017

The world’s smartest game-playing AI—DeepMind’s AlphaGo—just got way smarter

Posted by in categories: entertainment, robotics/AI

An upgraded version of the game-playing AI teaches itself every trick in the Go book, using a new form of machine learning.

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