Everybody seems to be talking about artificial intelligence and machine learning. Ever since Spielberg’s 2001 movie A.I. Artificial Intelligence, the abbreviation AI has been readily recognizable. News outlets have recently carried headlines such as, “AI in your car can brake faster than you”, or “Police use AI to predict crime”, or similar flashy statements. But then you may also read about machine learning algorithms that can convert a 2D image to 3D or have learned the grammar of a language.
After reading all that, you may try to explain these interesting advancements to your technically savvy friends. Only once you start describing do you realise how confusing these terms can be. Was it AI that predicted crime or was it a machine learning algorithm? Who extracts the grammatical structure of a sentence, AI or machine learning? It seems both. And why did they say in one article that AI is learning, when obviously machine learning has the magic ‘learning’ capability?
Maybe the two terms refer to the same thing, you may ponder. Is AI just the fancier form of the more technical machine learning? The term ‘artificial intelligence’ is certainly more inspiring than the somewhat dry ‘machine learning’. Are the two interchangeable, just like ‘motorized vehicle’ and ‘automobile’?
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