The Reason Aritifical Intelligence Differs From Traditional Software

Recently, many of the improvements made within the artificial intelligence sector have been due to the technology of “deep learning” which is also referred to as an “artificial neural network”. Traditional software is not intuitive as it simply follows a set of instructions predetermined by a programmer. If the software runs into a new problem which it has no answer prewritten for, it crashes. Deep learning is different as software can now write its own instructions instead of reading the instruction(s) of a programmer. Currently, as of 2021, deep learning is the equivalent of an all powerful, dim witted genie as it has the ability to evaluate the pixels of a photograph of a bottle of water, and can recognize with astonishing accuracy photographs of other water bottles, however it has no idea what the concept of water or the water bottle itself is, what the end user does to drink from the water bottle, what the end user needs the water for etc. This differs in human beings however as humans learn from a sample size of one, and are able to surmise the purpose of water and everything else which is relevant from witnessing it being used upon a single occasion

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