Sonic said:Has any REAL AI actually been created yet? Intelligence basically comes down to being able to learn, and I'm sure free will plays a part. We can program super computers but they're doing nothing more than running programs. They're not learning, growing, and therefore not intelligent. But I could be wrong about that too. I don't keep up with it. Seems like every new 'AI' introduced is always a major letdown though.
You're probably thinking of Artificial General Intelligence, a very difficult problem.
Applied AI (as opposed to strong or general AI) is used widely. There's a quote: "A lot of cutting edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it's not labeled AI anymore," Nick Bostrom:
Artificial intelligence has been used in a wide range of fields including medical diagnosis, stock trading, robot control, law, remote sensing, scientific discovery and toys. However, many AI applications are not perceived as AI: "A lot of cutting edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it's not labeled AI anymore," Nick Bostrom reports.[1] "Many thousands of AI applications are deeply embedded in the infrastructure of every industry." In the late 90s and early 21st century, AI technology became widely used as elements of larger systems, but the field is rarely credited for these successes.
http://wikipedia.org/wiki/Applications_of_artificial_intelligence
Machine learning (rather than just following a preprogrammed set of instructions) has been around for ages and is used widely in commercial applications:
Machine learning is a subfield of computer science and statistics that deals with the construction and study of systems that can learn from data, rather than follow only explicitly programmed instructions. Besides CS and Statistics, it has strong ties to artificial intelligence and optimization, which deliver both methods and theory to the field. Machine learning is employed in a range of computing tasks where designing and programming explicit, rule-based algorithms is infeasible. Example applications include spam filtering, optical character recognition (OCR),[1] search engines and computer vision. Machine learning, data mining, and pattern recognition are sometimes conflated.