"NASNET" Google Supercomputer Creates Its Own 'AI child' That Can Outperform Any Machine Made by Humans

Google has developed an artificial intelligence (AI) system that has created its own “child”.The incredible machine named NASNet becomes smarter through “reinforcement learning” which sees it report back to its “parent” computer when completing tasks.The AI (artificial intelligence), which was created earlier this year, is able to recognize objects such as people and cars while watching real time video. NASNet is controlled by a neural network called AutoML which was created by humans at Google Brain.As the name suggests, this approach allowed an AI to get involved in the development of another and eliminate the need for any human engineer.Google calls it a means to make machine learning models more accessible. AutoML’s controller neural net can propose “child models” that can be further trained and evaluated. This child AI, called NASNet, can be used to recognize objects in real-time.



Key Highlights :- 
  • The machine called NASNet learns through 'reinforcement learning 
  • It reports back to its AI 'parent' and then leanst how it can do it better 
  • AI can recognise objects, such as people, cars, handbags and traffic lights 
  • The findings show automation could create more AI all by themselves



As per the results on ImageNet image classification, NASNet surpassed previous models and showed a prediction accuracy of 82.7%. Moreover, it performs 1.2% better than all previously published results. The computational costs are also very low.

NasNet The AI Child:-


NASNet recognises objects, such as people, cars, handbags and traffic lights, in real time in a video.The AI child is controlled by a neural network called AutoML, made by Google Brain, which teaches the 'child' to do specific tasks.The machine learns through 'reinforcement learning' which means it trains for a task, reports back to its AI 'parent' and then learns how it can do it better. The system is 'open source' so developers are able to expand on their programme or develop a similar version.Because the system is 'open source', developers are able to expand on their programme or develop a similar version,Researchers say AI said in a blog post they hope developers will be able to create 'multitudes of computer vision problems we have not yet imagined'.

You Can Also Read The Whole Research on Google Research Blog


More About Artificial intelligence 

Artificial intelligence (AI, also machine intelligence, MI) is intelligence displayed by machines, in contrast with the natural intelligence (NI) displayed by humans and other animals. In computer science AI research is defined as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of success at some goal.Since the invention of computers or machines, their capability to perform various tasks went on growing exponentially. Humans have developed the power of computer systems in terms of their diverse working domains, their increasing speed, and reducing size with respect to time.A branch of Computer Science named Artificial Intelligence pursues creating the computers or machines as intelligent as human beings.
Basically The Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include:Speech recognition,Learning,Planning,Problem solving,and many more.


The overall research goal of artificial intelligence is to create technology that allows computers and machines to function in an intelligent manner. The general problem of simulating (or creating) intelligence has been broken down into sub-problems. These consist of particular traits or capabilities that researchers expect an intelligent system to display. The traits described below have received the most attention,Knowledge engineering is a core part of AI research. Machines can often act and react like humans only if they have abundant information relating to the world. Artificial intelligence must have access to objects, categories, properties and relations between all of them to implement knowledge engineering. Initiating common sense, reasoning and problem-solving power in machines is a difficult and tedious approach.Some intelligent systems are capable of hearing and comprehending the language in terms of sentences and their meanings while a human talks to it. It can handle different accents, slang words, noise in the background, change in human’s noise due to cold,different languages and its accents etc.and in future we are going to see amazing inventions in terms of AI (Artificial Intelligence)and also their are various things which we are not imagined an AI can do.and also the developers can develop this technology more and more as in case of this NASNET and AI Child the The system is 'open source' so developers are able to expand on their program or develop a similar version.so we hope in future we are going to see some amazing inventions and knowledge related to Artificial Intelligence(AI) and In Science And Technology.

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