Demystifying artificial intelligence: Here’s everything you need to know about AI – Digital Trends

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Crazy singularities, robot rebellions, falling in love with computers artificialintelligence conjures up a multitude of wild what-ifs. But in the real world, AI involves machine learning, deep learning, and many other programmable capabilities that were just beginning to explore. Lets put the fantasy stuff on hold at least for now and talk about this real-world AI. Heres how it works, and where its going.

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Todays AI systems seek to process or respond to data in human-like ways. Its a broaddefinition, but it needs to be as broadas possible, because there are a lot of different AI projects currently in existence. If you want a little more classification, there are two types of AI to consider.

AI can also be classified by how it operates, which is particularly important when considering how complex an AI system is and the ultimate costs of that software. If a company is creating an AI solution, the first question must be, Will it learn through training or inference?

There have been books and books written about what specific features AI must include to be truly AI, and unsurprisingly, no one really agrees on what these features are; every description of AI is a little different. But there are several examples of successful AIs in our current landscape worth looking at.

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Demystifying artificial intelligence: Here's everything you need to know about AI - Digital Trends