EVERY THING YOU NEED TO KNOW ABOUT ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
Here is all you need to know about three simple questions:
These days, nearly all advertisements for new smartphone cameras include claims of innovation in artificial intelligence, machine learning, convolutional neural networks, tensor flow analysis, etc.
Adding to our joyful bewilderment, some of these ads are simply misleading. Some of these ad's offer exaggerations of the extent to which your hard-earned dollar is buying substantial new capabilities for you to improve the quality or convenience of your photography. In other words you should be able to answer this simple question: "If I had bought this camera-'X' one year ago, how would it (could it) have improved _my_ photos, in the way _I_ capture them?"
Here are some examples of the jargon terms from recent advertisements (and supposedly independent) product reviews:
Here's two major things you should consider in sorting all this out. First, while the mathematics, physics and computational statistics underlying these AI concepts and implementations present a bewildering display of Greek letters and special symbols, the simple question is, "How, specifically, does artificial intelligence or machine learning actually improve my smartphone camera?"
We simply want our smartphone camera's artificial intelligence algorithms to perform a few straightforward end-goal tasks that many infants, toddlers and adolescents normally learn by an early age. And if we separate child-learning skills into the objective level (facial recognition, object-differentiation, food identification,...) most of us have known at least one infant who has mastered these mechanisms for triggering "adult action". The more qualitative camera/software artificial intellilgence skills (judging image quality, facial beauty, animal threat, human emotional state,...) parallel the development of skills in humans that can span several (or many) years.
As for the first question above, namely: "How do artificial intelligence, machine learning, neural networks, etc. actually help my smartphone camera perform better?"... Here are some ways that artificial intelligence and convolutional neural network algorithms are now being used in our mobile smartphone cameras:
Still, the second major question about artificial intelligence algorithms in smartphone cameras remains. That is: "Even if artificial intelligence helps my smartphone camera handle images quickly and accurately, how much will it improve the quality and appeal of my final photographs?"
Enormous advances have been made in artificial intelligence theory and groundbreaking applications since I took my first graduate course in artificial intelligence as part of a master's degree program in physics and computational statistics at the University of Nebraska way back in the1970's. But many of the fundamental concepts and principles remain the foundation of artificial intelligence and it's many component spin-offs since then.
When it's all said and done, here are some "smell test" criteria you should look for, beyond advertisers' claims and in truly legitimate, hands-on product reviews, etc. when asking the question: "How will the quality and appeal of my own photographs be improved by artificial intelligence in my smartphone camera?":
Now, for the third and final question to ask about what you should know about your camera's artificial intelligence: "How can I make sure I'm taking maximum advantage of my camera's artificial intelligence features?":
Do you have additional thoughts on this topic? How has artificial intelligence algorithms in your smartphone camera app improved your photography? Which camera features would you like to see introduced or improved by AI?
This ariticle "Everything You Need to Know About Artificial Intelligence and Machine Learning" first appeared at ProMobile.Photo.