Since the earliest days of virtual chess and solitaire, video games have been a playing field for developing artificial intelligence (AI). Each victory of machine against human has helped make algorithms smarter and more efficient. But in order to tackle real world problems—such as automating complex tasks including driving and negotiation—these algorithms must navigate more complex environments than board games, and learn teamwork. Teaching AI how to work and interact with other players to succeed had been an insurmountable task—until now.
* This article was originally published here
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Life Technology™ Technology News Subscribe Via Feedburner Subscribe Via Google Subscribe Via RSSFriday, 31 May 2019
'Slothbot' takes a leisurely approach to environmental monitoring
For environmental monitoring, precision agriculture, infrastructure maintenance and certain security applications, slow and energy efficient can be better than fast and always needing a recharge. That's where "SlothBot" comes in.
* This article was originally published here
* This article was originally published here
A deep neural network that can maximize or minimize coloring to blend into or stand out against a background
A team of researchers at the University of Bristol has developed a deep learning neural network that can identify the best way to minimize or maximize coloring to allow for blending into a background or standing out. In their paper published in Journal of the Royal Society Interface, the team describes their network and possible uses for it.
* This article was originally published here
* This article was originally published here
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* This article was originally published here
* This article was originally published here
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* This article was originally published here
* This article was originally published here
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* This article was originally published here
* This article was originally published here
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* This article was originally published here
* This article was originally published here
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* This article was originally published here
* This article was originally published here
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* This article was originally published here
* This article was originally published here
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* This article was originally published here
* This article was originally published here
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* This article was originally published here
* This article was originally published here
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* This article was originally published here
* This article was originally published here
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* This article was originally published here
* This article was originally published here
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* This article was originally published here
* This article was originally published here
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* This article was originally published here
* This article was originally published here
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* This article was originally published here
* This article was originally published here
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* This article was originally published here
* This article was originally published here
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* This article was originally published here
* This article was originally published here
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* This article was originally published here
* This article was originally published here
Physicists 'teleport' logic operation between separated ions
Physicists at the National Institute of Standards and Technology (NIST) have teleported a computer circuit instruction known as a quantum logic operation between two separated ions (electrically charged atoms), showcasing how quantum computer programs could carry out tasks in future large-scale quantum networks.
* This article was originally published here
* This article was originally published here
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