One might not expect the game of checkers to have anything to do with Artificial Intelligence, but the game really marked the beginning of machine learning in 1959. Pioneered by an MIT professor named Arthur Lee Samuel, it was discovered that teaching a simple strategy game to a computer is not so simple when every move needs to be anticipated.
Smart machines Additionally, in a Forbes article about the difference between artificial intelligence and machine learning, Bernard Marr comments, “Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider ‘smart’. And, Machine Learning is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves.” That’s the premise of many a movie involving computers which become sentient, but is it really science fiction anymore?
Meet the new boss
Teaching a computer to think like a human is advantageous and includes the added bonus of increased speed. Computers aren’t biased, either — which is why huge corporations, such as Unilever, use computers to thin out their first wave of applicants. You actually interview with a bot when you begin the employment process there!
Cause and effect AI and ML are often used in cybersecurity efforts – at least one would suppose. But in Security magazine, Jordan Mauriello writes: “AI/ML cannot do causation.” That means artificial intelligence cannot, at this point in time, tell you why something happened. The why? is best left to experts who deal with game theory and other ways of determining how to defend against hypothetical attacks.
Get in on the ground floor
The field is growing and students at colleges across the country are beginning to train for careers in it in droves. “America’s top colleges are ramping up their research efforts and developing concentrations for their computer science degree programs to accommodate this high-tech field,” writes Great Value Colleges on their blog. It looks as though this discipline is on an upward trajectory and shows no sign of slowing down.