Neural networks in artificial intelligence

                                                               To put it briefly, neural networks or artificial neural networks emulate human brain. They store all data in a digital format-sensory, text or time and use it to classify and group the information. For example, reading someone’s handwriting comes easily and unconsciously to us whereas in order to teach an algorithm we feed it with vast amounts of handwritten data to recognize patterns in it.

There is a huge demand of neural networks in robotics, to improve order fulfilment, prediction of the stock market, and diagnosis of medical problems or even to compose music!

The current neural network technologies will be improved upon in 2019. This would enable this type of AI to become more sophisticated as better training methods and network architectures are developed.

Neural networks are also fundamental to “deep learning”, powerful set of algorithms that can be used for image processing, speech recognition or to process natural languages. This is helpful in helping autonomous vehicles or fraud detection or even to look for signs of cancer. 2019 would continue to increase the research that goes into it so that we can take advantage of the power of these applications for life-altering situations.

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Media Contact:
Sarah Rose
Journal Manager
International journal of swarm intelligence and evolutionary computation
Email: evolcomput@journalres.org