The software that was able to beat two US champions in the show Jeopardy had been mostly influenced by Professor Les Valiant's techniques and design ideas for improving AI learning capabilities.
We've always known about DARPA doing research on automated self-driving cars for military purposes. This was going to be inevitable. However, it was recently revealed that Google has a fleet of Toyota Prius self-driving cars that can go on highways and have been spotted on roads since a year ago.
Today, I was searching for information about artificial intelligence algorithms on Wolfram Alpha, when it dawned on me that perhaps I should first determine whether Wolfram Alpha is actually Skynet (in order to make sure I'm not using some biased search engine).
And then, my worst fears were realized...
At ID, our understanding of Artificial Intelligence is one that can simulate the human mind--an entity that can assume and believe much like us with a more precise logic. Other people who work in this field, may characterize AI as search algorithms (as many classes in universities do) or general problem solving or learning entities.
It's been 59 years since Alan Turing created the Turing Test that would be the most accepted test to see if an artificially intelligent machine could communicate and fool a human into thinking the machine is a human too. Since then, the field of AI has progressed but still hasn't come close to fooling humans. Humans are so intelligent and complicated that the field of AI cannot emulate many of the algorithms of humans effectively.
There are many Artificial Intelligence classes all over the country that have a curriculum that simply teaches various algorithms for solving puzzles and different problems. These are solutions to problems with fixed domains, they are brute forcing the answer through calculation, not solving it like humans. While the human brain is very unpredictable and behaves as one entity with different neurons shouting over each other, electronic AI can simulate the human mind extremely accurately.
Artificial Intelligence is a very murky subject, mainly because the subject is very new. Although researchers have studied it since the 50s, it is clear that the subject is far more advanced than they once believed. What the researchers found out was that we don't even know enough about the human mind to begin to understand artificial intelligence. Not only are there so many functions of the brain but also many evolutionary traits that allow brains to outperform computers. Will computers ever become as powerful or even better than humans?