A new system called Robo Brain is being funded by the usual suspects in the military-industrial-surveillance complex. Nicholas West
The initiative to merge robotics with artificial intelligence continues to expand its vision. I recently wrote about an internal cloud network program which enables robots to do their own research, communicate with one another, and collectively increase their intelligence in a full simulation of human interaction. It has been dubbed "Wikipedia for Robots."
A parallel project in Germany went further by seeking to translate the open Internet into a suitable robot language that would prompt accelerated, autonomous machine learning.
Now researchers at Cornell are presenting Robo Brain – "a large-scale computational system that learns from publicly available Internet resources." Evidently it is learning quickly:
...currently downloading and processing about 1 billion images, 120,000 YouTube videos, and 100 million how-to documents and appliance manuals. The information is being translated and stored in a robot-friendly format that robots will be able to draw on when they need it. (From Cornell University press release)This is the latest development toward ushering in The Singularity - the moment when machine intelligence outperforms humans, perhaps prompting a merger between humans and machines that will transcend biology.
It is important to note before reading the rest of Cornell's press release below that robotics is already having a dramatic impact on the economy (as well as posing an existential threat). While it's still being debated whether or not this will have long-term positive benefits, the short-term is not looking great. We are beginning to see the wholesale replacement of certain manufacturing and service sector jobs - most recently with the mass production of security robots in the U.S. - while experts are predicting that artificial intelligence will continue to rise through the ranks and displace specialized workers. Some have gone so far as to project that by 2045 humans will be fully outsourced.
From Cornell University:
To serve as helpers in our homes, offices and factories, robots will need to understand how the world works and how the humans around them behave. Robotics researchers have been teaching them these things one at a time: How to find your keys, pour a drink, put away dishes, and when not to interrupt two people having a conversation. This will all come in one package with Robo Brain.
"Our laptops and cell phones have access to all the information we want. If a robot encounters a situation it hasn't seen before it can query Robo Brain in the cloud," said Ashutosh Saxena, assistant professor of computer science at Cornell University. Saxena and colleagues at Cornell, Stanford and Brown universities and the University of California, Berkeley, say Robo Brain will process images to pick out the objects in them, and by connecting images and video with text, it will learn to recognize objects and how they are used, along with human language and behavior.
If a robot sees a coffee mug, it can learn from Robo Brain not only that it's a coffee mug, but also that liquids can be poured into or out of it, that it can be grasped by the handle, and that it must be carried upright when it is full, as opposed to when it is being carried from the dishwasher to the cupboard.
Saxena described the project at the 2014 Robotics: Science and Systems Conference, July 12-16 in Berkeley, and has launched a website for the project at http://robobrain.me
The system employs what computer scientists call "structured deep learning," where information is stored in many levels of abstraction. An easy chair is a member of the class of chairs, and going up another level, chairs are furniture. Robo Brain knows that chairs are something you can sit on, but that a human can also sit on a stool, a bench or the lawn.
A robot's computer brain stores what it has learned in a form mathematicians call a Markov model, which can be represented graphically as a set of points connected by lines (formally called nodes and edges). The nodes could represent objects, actions or parts of an image, and each one is assigned a probability – how much you can vary it and still be correct. In searching for knowledge, a robot's brain makes its own chain and looks for one in the knowledge base that matches within those limits.
"The Robo Brain will look like a gigantic, branching graph with abilities for multi-dimensional queries," said Aditya Jami, a visiting researcher art Cornell, who designed the large-scale database for the brain. Perhaps something that looks like a chart of relationships between Facebook friends, but more on the scale of the Milky Way Galaxy.
Like a human learner, Robo Brain will have teachers, thanks to crowdsourcing. The Robo Brain website will display things the brain has learned, and visitors will be able to make additions and corrections.
I will continue to conclude articles on this topic with a series of (expanding) questions about this research that should be introduced by those of us who would like to see technology used in the most beneficial ways possible, instead of a further means of economic and literal enslavement.
Please add your own questions in the comment section below.
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