Artificial intelligence research can be subdivided in different ways: as a function of the techniques used (such as expert systems, artificial neural networks, or evolutionary computation) or of the problems addressed (e.g., computer vision, language processing, or predictive systems). Currently, one of the most commonly used artificial intelligence techniques for the development of new applications is known as machine learning. In basic terms, machine learning seeks to present algorithms with the largest possible volume of data, allowing systems to develop the capacity to autonomously draw conclusions. A simple way to describe the process is as follows: If we want to teach an image recognition system to identify a key, we show it the largest number of keys possible for its training. Then, the structure itself learns to identify whether subsequent images presented are or are not keys—even if the system never saw these images during its training.
Recognizing an image used to be a…
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Source : fastcompany.com
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