Impressive trial and error #deeplearning #artificialintelligence #robots - mimicking human learning, May 2015...
Originally shared by Singularity 2045
Impressive trial and error #deeplearning #artificialintelligence #robots - mimicking human learning, May 2015 via UC Berkeley.
You don't need to be super-intelligent to see how thirty years of progress, from 2015 to 2045, will entail the #Singularity - explosive intelligence.
Robots have now matched human speed and dexterity. Baby robots will soon grow up.
UC Berkeley News Center (21 May 2015): "...researchers have developed algorithms that enable robots to learn motor tasks through trial and error using a process that more closely approximates the way humans learn, marking a major milestone in the field of artificial intelligence." https://newscenter.berkeley.edu/2015/05/21/deep-learning-robot-masters-skills-via-trial-and-error/ (https://archive.is/N7SNe#selection-381.0-381.249 https://web.archive.org/web/20150523092201/https://newscenter.berkeley.edu/2015/05/21/deep-learning-robot-masters-skills-via-trial-and-error/).
The New York Times wrote (21 May 2015): "...putting a clothes hanger on a rod, inserting a block into a tight space and placing a hammer at the correct angle to remove a nail from a block of wood — may seem like pedestrian actions. But they represent significant advances in robotic learning, by a group of researchers at the University of California, Berkeley, who have trained a two-armed machine to match human dexterity and speed in performing these tasks." http://www.nytimes.com/2015/05/22/science/robots-that-can-match-human-dexterity.html?_r=0
The NY Times added: "By combining several types of pattern recognition software algorithms known as neural networks, the researchers have been able to train a robot to perfect an action such as correctly inserting a Lego block into another block, with a relatively small number of attempts."
http://www.nytimes.com/2015/05/22/science/robots-that-can-match-human-dexterity.html?_r=0
Impressive trial and error #deeplearning #artificialintelligence #robots - mimicking human learning, May 2015 via UC Berkeley.
You don't need to be super-intelligent to see how thirty years of progress, from 2015 to 2045, will entail the #Singularity - explosive intelligence.
Robots have now matched human speed and dexterity. Baby robots will soon grow up.
UC Berkeley News Center (21 May 2015): "...researchers have developed algorithms that enable robots to learn motor tasks through trial and error using a process that more closely approximates the way humans learn, marking a major milestone in the field of artificial intelligence." https://newscenter.berkeley.edu/2015/05/21/deep-learning-robot-masters-skills-via-trial-and-error/ (https://archive.is/N7SNe#selection-381.0-381.249 https://web.archive.org/web/20150523092201/https://newscenter.berkeley.edu/2015/05/21/deep-learning-robot-masters-skills-via-trial-and-error/).
The New York Times wrote (21 May 2015): "...putting a clothes hanger on a rod, inserting a block into a tight space and placing a hammer at the correct angle to remove a nail from a block of wood — may seem like pedestrian actions. But they represent significant advances in robotic learning, by a group of researchers at the University of California, Berkeley, who have trained a two-armed machine to match human dexterity and speed in performing these tasks." http://www.nytimes.com/2015/05/22/science/robots-that-can-match-human-dexterity.html?_r=0
The NY Times added: "By combining several types of pattern recognition software algorithms known as neural networks, the researchers have been able to train a robot to perfect an action such as correctly inserting a Lego block into another block, with a relatively small number of attempts."
http://www.nytimes.com/2015/05/22/science/robots-that-can-match-human-dexterity.html?_r=0
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