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Showing posts with the label artificial intelligence

Artificial Intelligence is Love

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Artificial Intelligence is Love. Below is a proof in 5 simple steps.  Artificial Intelligence is AI (substitution by initials) AI is あい (substitution by hiragana) あい is 愛 (substitution by kanji) 愛 is Love (substitution by semantics) therefore, Artificial Intelligence is Love (iterative transitivity) Q.E.D. Bonus: How does an Artificial Intelligence major confess his love? He says: I do AI - AIしている (AI shiteiru). This means "I do AI - I love you".  Below is the context. "I do AI" in Japanese is AIをしている (read "AI wo shiteiru" )。(Apparently, Japanese also uses AI to refer to Artificial Intelligence.) To make the sentence sound casual, the particle を (wo) could be dropped, making it AIしている (AI shiteiru).  Now "AI shiteru" could be interpreted as "I do AI" (AIしている - AI shiteru) or "I love you" (愛 している- ai shiteiru). This is because "AI" could be read as "AI" which stands for Artificial Intell...

Tolkien, Turing, and Nonlinear Reasoning

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I just finished giving a midterm exam in one of my classes. Of course, I spent much time thinking about the bonus questions, which I call Nonlinear Reasoning, being a mixture of course topics and humor. One of bonus questions was the following: (The Turing Test, proposed by Alan Turing, determines whether a machine can be considered intelligent or not.) Those who are versed in the War of the Ring could easily deduce that the correct answer to this question is " One Ring ": Sauron and Gollum are not interested in passing the Turing Test because they are only interested in the  One Ring . However, most of my students just answered " ring ". Since I am not a terror teacher, I guess I will have to give these students partial points. However, I also have to be reasonable and just in giving it to them. Since there are twenty Rings of Power in all  –  Three for the Elven-kings under the sky; Seven for the Dwarf-lords in their halls of stone; Nine for Mortal...

AI & I : 5 Lessons learned from Artificial Intelligence

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I began my graduate studies in computer science in 2003. After 3 years of part time study, I started groping for a thesis topic in Artificial Intelligence (AI). The experience was fun (and torturing- I had to change topics 3 times, but it was still fun… and torturing). I learned a couple of things along the way. I outline these things in this article. 1.Error feedback leads to perfection Neural Networks (NN) is an AI technique that mimics how a brain learns through billions of neurons and their interactions with each other. One of the most popular training (or learning) method for Neural Networks rely on informing other (digital) neurons about the error levels of the current output of the network. This is called the Back Propagation Algorithm. Lesson Many times we dread facing our faults, whether we discover them ourselves or others inform us about them. But come to think of it, knowing about our faults is one of the best ways to improve. I...