Although there are often lots of hype surrounding Artificial Intelligence (AI), once we strip away the marketing fluff, what is revealed is a rapidly developing technology that is already changing our lives. But to fully appreciate its potential, we need to understand what it is and what it is not!
Defining “intelligence” is tricky, but key attributes include logic, reasoning, conceptualization, self-awareness, learning, emotional knowledge, planning, creativity, abstract thinking, and problem-solving. From here we move onto the ideas of self, of sentience, and of being. Artificial Intelligence is, therefore, a machine that possesses one or many of these characteristics.
However, no matter how you define it, one of AI’s central aspects of learning. For a machine to demonstrate any kind of intelligence it must be able to learn.
When most technology companies talk about AI, they are in fact talking about Machine Learning (ML) — the ability for machines to learn from past experiences to change the outcome of future decisions. Stanford University defines machine learning as “the science of getting computers to act without being explicitly programmed.”
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