We’ve all heard of general artificial intelligence (GAI) and narrow AI, but what exactly do they mean? Narrow AI is the kind of AI that’s focused on one task, such as solving a problem. General AI, on the other hand, is an intelligent machine capable of solving any problem. The potential effects of such a machine are unimaginable. Ultimately, these machines could surpass human intelligence in any intellectual endeavor and even in many social endeavors.
One of the earliest examples of artificial intelligence is machine learning, which involves the process of teaching a machine how to do something. Essentially, this is a way for machines to learn without having a dedicated algorithm. Machine learning has been around for a long time, but has only recently made its way into practical use. While the concept of AI is complex and confusing, it does offer some helpful hints. Here are a few concepts related to AI.
In the past, artificial intelligence engineers have focused on hyper-defined niches. In other words, if they can learn a language by analyzing millions of words, they’re likely to be more effective. But there’s one area where AI is getting its greatest impact today: tagging friends on Facebook. A machine that can learn a variety of languages based on enough data is capable of learning any language – so long as it is trained to do so.