What is AI? (Series Part I)

              What is AI and How it Work 

artificial intelligence for many of us but at the moment we don't have the risk of mechanical destruction but technology expert Elon Musk calls for diversity you quote that AI is a great threat to the existence of human civilization now whether artificial intelligence is a threat or not it is irrevocable let me know your thoughts in the comment section for now let me give you artificial intelligence the term artificial intelligence was first introduced decades ago in 1956 by John McCarty to make smart machines in the sense that AI is a way to make machines work and behave like humans in the past AI has been able to achieve this by building machines and robots used in various fields including commercial health robot traffic analytics and much more we often think of artificial intelligence as robots do on a daily basis Yes but the truth is artificial intelligence has found its way into our daily lives this way lo g Eneral that we do not always realize that we use it for example have you ever wondered how Google can provide you with accurate search results or how your Facebook feed always gives you content based on your interest the answer to these questions is false wisdom now before I continue to let go of common sense Most people tend to think that intelligent machine learning and in-depth learning are the same because they have common applications for example Siri is an AI learning program and so on. in-depth information decisions on the other hand in-depth learning is a piece of learning education that uses the concept of neural networks to solve problems sophisticated to summarize by machine learning artificial intelligence and in-depth learning linked fields for machine learning and in-depth learning require artificial intelligence by providing a set of algorithms and neural networks to solve data-driven problems but AI is not limited to deep machine learning and mechanical learning.

MZ

 What is deep algorithms AI

In-depth learning is a form of machine learning and artificial intelligence (AI) that mimics how people acquire certain types of knowledge. ... While traditional machine learning capabilities are straightforward, in-depth learning algorithms are placed at a higher level of complexity and subtraction. ... In-depth learning algorithms learn more and more about the image as we move through each layer of the neural network.

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