Just in case you are worried about the progress of robotics that will kill many production jobs, this story is similar to the case. The Google Brain artificial intelligence research group has developed a new machine learning system which is capable of designing machine-learning software
The surprise is, when the software as compared with the code written by humans, it surpassed their result.
As reported by MIT Tech Reviews, Jeff Dean, leader of Google Brain research group, such efforts can increase the pace of the implementation of machine-learning software in various fields of economy.
It should also be noted that companies pay premium salaries to machine learning experts – experts which are short of supply.
In their experiment, the researchers challenged their software to create machine learning systems. They say that such systems are currently “learning to learn.” They could also reduce the need for vast amounts of data used by machine learning software to give good results.
Using their software, the Google Brain team created learning systems for different kinds of related problems. The system showed an ability to generalize and picks new tasks. To do so, the researchers used 800 high-powered GPUs.
To achieve this researchers used 800 high-powered GPUs.
Google Brain team, using their software created learning systems for different kinds of related problems and The System has shown ability to generalize and pick new tasks. To achieve this researcher used 800 high-powered GPUs.
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