Natural Language Processing (NLP) -refers to systems that can understand language.Artificial Neural Networks (ANN) -refers to models of human neural networks that are designed to help computers learn.Deep Learning (DL) -refers to systems that learn from experience on large data sets.Machine Learning (ML) -refers to systems that can learn from experience.Artificial Intelligence (AI) -the broad discipline of creating intelligent machines.DL applications connect directly to the work we perform for our clients.įirst let’s start with some of the most commonly used acronyms and their definitions: At Sonix, we are specifically focused on automatic speech recognition so we explain the key technologies with that in mind. machine learning.īelow we attempt to explain the important parts of artificial intelligence and how they fit together. That’s why it's a good idea to first look at how each can be clearly defined when comparing the science behind complex technologies like machine learning vs. Couple that with the different disciplines of AI as well as application domains, and it’s easy for the average person to tune out and move on. It’s almost harder to understand all the acronyms that surround artificial intelligence (AI) than the underlying technology of AI vs.
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