In this section, we’ll explore the underlying concepts of AI as well as the resources available to get an AI project off the ground, no matter how small or grand in scale. The concept is simple, but the execution requires several moving parts (literally and figuratively) that all need to work harmoniously.ĪI can range from something as simple as a Python program written on a $35 RaspberryPi computer to something as complex as a robot with vision, IoT capability, and sophisticated software. Like many of the emerging fields in technology, AI is a broad, often vague, and complicated subject.
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We want to look at AI as it is today and use this information to predict what it might look like in the near future. We’re going to focus on examples of artificial narrow intelligence since artificial general intelligence is still a ways off. Artificial general intelligence is, so far, still stuck in the realm of science fiction. Artificial general intelligence refers to technology that can perform any intellectual task that a human could. They can be roughly broken into two main categories: artificial general intelligence (AGI) and artificial narrow intelligence (ANI). One caveat before we begin: there are many levels of sophistication in the AI technologies in the discussion today. Let’s look more closely at what AI is, as well as key concepts that can position you to better understand it and the potential it holds.
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Advances in computing power over the last decade have enabled Artificial Intelligence research to evolve quickly in both technical power and commercial usability.