The quest for artificial intelligence (AI) began over 70 years ago, with the idea that computers would one day be able to think like us. Ambitious predictions attracted funding, but after a few decades, there was little to show for it.
But in the last 25 years new approaches to AI, coupled with advances in technology, have meant that we may now be on the brink of realising those dreams. The term AI can be confusing. We all know there's never any shortage of buzzwords in the IT world, but when it comes to Artificial Intelligence, machine intelligence, machine learning they can be hard to tell apart. Artificial Intelligence is basically an umbrella term for them all! Artificial intelligence refers to "a broad set of methods, algorithms and technologies that make software 'smart' in a way that may seem human-like to an outside observer,"
Artificial Intelligence is today replying to our emails on Gmail, learning how to drive our cars, and sorting our holiday photos. The problem with the concept of "artificial intelligence" is that people conjure images of supercomputers that operate spaceships like the Star Ship Enterprise or robots policing our cities, rather than particularly clever spam filters, or digital assistants like Cortana, Google Now and Siri.
Let’s take a look at a couple of AI applications that are here today...