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Oct 19, 2017

Google’s Machine Learning Software Has Learned to Replicate Itself

Posted by in category: robotics/AI

Google designed its AutoML project to be an artificial intelligence that could help humans create other AI systems. Now AutoML can do that, and it’s creating more powerful, efficient systems than human engineers can.

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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

Google Maps just added a bunch of planets and moons for you to explore

Posted by in category: space travel

Google Maps launched itself into space once again with new opportunities to explore parts of the galaxy.

Google announced this week that it added a dozen new places including Pluto, Venus and several moons to its galactic exploration feature. There are now 17 different planetary maps to look through.

The feature allows users to explore planets Mercury, Venus, Earth and Mars, along with some dwarf planets, like Pluto. For Earth, zooming in offers 3D Google Maps showing borders, cities, countries and terrain. When looking at Google Maps in the terrain view, you can also zoom out until it shows Earth in space. Clicking on specific places will also provide some basic information.

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Oct 18, 2017

Could Governments Run By Artificial Intelligence Be A Good Thing?

Posted by in categories: government, robotics/AI

It will happen eventually. The argument against it will be that AI lacks the human touch, by that they mean the crooks in the government who make a living on corruption, graft, outright theft, and are in the process of collapsing the United States with nepotism. The main fear of the crime bosses (politcos) is that you cant bribe, threaten, or blackmail an AI.


By glen sawyer, national director, iot digital transformation, SAP

Put Skynet from The Terminator movies to the back of your mind for a minute, and stay with me on this one.

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Oct 18, 2017

Robocar Invasion of Manhattan Looms As GM’s Cruise Plans 2018 Tests

Posted by in categories: robotics/AI, transportation

After more than a year of testing on crowded San Francisco streets, Cruise thinks it’s ready to operate the first robotic car fleet in Manhattan. GM also appears to be ramping up competition with Waymo for leadership in the technology.

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Oct 18, 2017

DeepMind’s Superpowerful AI Sets Its Sights on Drug Discovery

Posted by in categories: biotech/medical, information science, robotics/AI

Company will use algorithm similar to new Go champ to find proteins.

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Oct 18, 2017

Giant robot fight: U.S. vs. Japan

Posted by in category: robotics/AI

After two years of development, these giant robots from the U.S. and Japan went head-to-head. Who would you put your money on? http://cnnmon.ie/2kYBEdN

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Oct 18, 2017

Eighteen Zeros

Posted by in category: supercomputing

SPONSOR CONTENT: The U.S. Department of Energy tasked six major computing companies with researching and developing an exascale supercomputer.

With the ability to run a quintillion calculations per second—that’s a one with eighteen zeros after it—the implications of an exascale computer would touch nearly every facet of our lives, and would provide the opportunity to potentially solve humanity’s most pressing problems. http://theatln.tc/2xc7QLn

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Oct 18, 2017

Toyota’s new self-driving cars will chat with drivers

Posted by in categories: robotics/AI, transportation

The vehicles, set to begin testing in 2020, will use deep learning to learn motorists’ preferences, emotions, and habits.

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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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