Top 5 philosophical issues of Artificial Intelligence (AI)

Artificial Intelligence (AI) is currently a very active scientific field. It was born in the 1950s and is still alive today. In the course of the development of artificial intelligence, different research routes have stimulated competition, and new problems and new ideas have continued to emerge.

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How is Machine Learning related to Artificial Intelligence?

So, how do you see technology moving ahead? The answer would be progressively, and why not; machines are now taking over most of the tasks. The things that we used to see in sci-fi films where machines perform certain tasks have changed with the advent of technologies like machine learning and artificial intelligence.

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Helping HR: Simple case of Automated Resume classification

Automated Resume Classification

Imagine being a Human Resources department with multiple job openings. Your email box is flooded with resumes requiring review and while one way to do this is by searching the keywords in your email account, another is to download the emails and categorize them one by one. Both will require a lot of effort so to help HR we will demonstrate the automation of the process using Machine Learning.

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Key aspects of Machine Learning operations, explained

Machine Learning Operations

Until 2015, even professional programmers didn’t consider machine learning has real potential and benefits. However, with innovation the development of AI and computing capabilities build-up, autonomous MLOps platforms began to develop rapidly and became an integral part of computer systems development.

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AI powers business: A treasure trove of AI applications in use today

AI powers business

Commercial enterprises are dynamic, whereby they incorporate the use of machines to do work instead of human labor. These machines use Artificial Intelligence, using machine learning algorithms. Here are some Artificial Intelligence projects in use today by businesses.

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