Difference Between Artificial Intelligence And Machine Learning

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Artificial Intelligence and Machine Learning

Artificial Intelligence & Machine Learning here we get started!! Now the terms ‘Artificial intelligence & Machine learning’ are closely related and it’s not wrong to say that the abstraction level between these two words is fairly thin line and they can be interchangeably huge. But, when we say AI or ML what most people think is the same old terminator movie : / you think that there’s gonna be some TX9000 machine that’s gonna come up from the future and destroy entire humanity. You start panicking and you going to think that there’s no need of programmers in the future and a lot of queries. Hold on, this is not a fictional movie If this could have been true, so, we should stop
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AI traditionally refers to an artificial creation of human-like intelligence that can learn, reason, plan, perceive, or process natural language. These traits allow AI to bring immense socio-economic opportunities, while also posing ethical and socio-economic challenges. Artificial intelligence is further defined as “narrow AI” or “general AI”. Narrow AI, which we interact with today, is designed to perform specific tasks within a domain (e.g. language translation).
General AI is hypothetical and not domain specific, but can learn and perform tasks anywhere. Applications based on AI are already visible in healthcare diagnostics, targeted treatment, transportation, public safety, service robots, education and entertainment etc., Together with the Internet, AI changes the way we experience the world and have the potential to be a new engine for economic
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Artificial Intelligence is the study of man-made computational devices and systems which can be made to act in a manner which we would be inclined to call intelligent. The ability of a machine communicating using natural language over a teletype to fool a person into believing it was a human. “AGI” or “artificial general intelligence” extends this idea to require machines to do everything that humans can do, such as understand images, navigate a robot, recognize and respond appropriately to facial expressions, distinguish music genres, and so on.
Current Uses of AI: Although artificial intelligence evokes thoughts of science fiction, artificial intelligence already has many uses today.
• Email filtering
• Personalization of online services with the help of your previous purchases
• Fraud detection in Banking sector to identify unexpected activity, such as foreign transactions, could be flagged by the algorithm.
• Speech recognition: Applications use artificial intelligence to optimize speech recognition functions. Examples include intelligent personal assistants, e.g. Amazon’s “Alexa” or Apple’s
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