Criminologists have been working hard to use algorithms and statistics to create sophisticated systems that can predict where crimes are likely to occur. This allows many police forces around the US to concentrate their units in certain areas and neighborhoods. Here's some more information in a beautiful infographic:
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...
Ever wonder how computer chess engines make decisions and are as competitive as humans? Most of these chess programs were partly designed by titled grandmaster or international masters. They use an algorithm very similar to a Minimax Tree. A minimax tree is simply a tree sorting algorithm that maximizes its own moves and assumes that its opponent will minimize his own score. In other words, computer chess players assume you will make the best move you can possibly make.
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.