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An indicator of just how human-like these machines can be was actually developed in the 1950s by British scientist Alan Turing.His Turing Test checks the presence of mind, thought, or intelligence in a machine and if it can fool a human to believe that it is a human as well, then it passes the test.

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When given this data, it analyzes and forms context to point to the relevant data to react to spoken or written prompts.

Looking into deep learning within AI, the machine discovers new patterns in the data without any prior information or training, then extracts and stores the pattern.

But despite the tremendous development of chatbots and their ability to execute intelligent behavior not displayed by humans, chatbots still do not have the accuracy to understand the context of questions in every situation each time.

Chatbots currently operate through a number of channels, including web, within apps, and on messaging platforms.

The predictive analytics within bots uses statistics, modeling, data mining and more to generate information proactively, rather than in response to a prompt.

The sentiment analysis in machine learning uses language analytics to determine the attitude or emotional state of whom they are speaking to in any given situation.They also work across the spectrum from digital commerce to banking using bots for research, lead generation, and brand awareness.An increasing amount of businesses are experimenting with chatbots for e-commerce, customer service, and content delivery.This machine learning algorithm, known as neural networks, consists of different layers for analyzing and learning data.Inspired by the human brain, each layer is consists of its own artificial neurons that are interconnected and responsive to one another.SOCIALLY AWKWARD ROBOT [15 ] If you think that the first 'real' AI in years to come is going to be your perfect electronic friend, think again. Responses contain unfiltered content which may offend.

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