Weak AI Application

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With recent advancements in the field of machine learning and artificial intelligence, researchers have begun to take a closer look at intellectual property laws as they apply to creative works produced by computers. The issue in question is: If a computer program creates a piece of work without human assistance or intervention, whether it is a book, video or musical composition, who owns the work, and who should receive royalties or sales of the work?

One example of why this question is becoming relevant today is a recently published cookbook created in part by IBM 's AI supercomputer, Watson. The program received wide media coverage in 2011 when it achieved a record-breaking championship victory on the TV show, "Jeopardy."

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Strong AI incorporates dynamic processes associated with the cognitive processes of intelligent life, whereas weak AI aims to produce output that merely mimics intelligence. Strong AI has developed from research using neural networks (large collections of machine neurons). The inspiration for This research is based primarily on what we know about of the inner workings of the human brain.

Neural networks are designed to be adaptive, changing structure in accordance with whatever input they are "fed." This gives them the ability to change their algorithms without direct human intervention. This equates to an artificial form of "learning." An early implementations of this concept was the "Creativity Machine" created by Stephan Thaler in 1994. The project utilize 2 interconnected neural networks that produced a variety of artistic works including poems and musical

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