Deep Learning is Changing System Design

Artificial intelligence (AI) is becoming increasingly ubiquitous within the technology industry, with capabilities that are much more practical than most consumers may think. Smarter e-mail spam filters and autonomous vehicles are just two examples of how deep-learning systems and AI technologies enable machines to better interact with their surrounding environment and provide vast benefits to users. By using a series of layers within a neural network to analyze data, deep-learning systems continue to change the way computers see, hear, identify, and even respond to objects in the real world. While the combination of such skills has made it possible for machines to perform increasingly complicated, human-like functions, the future of deep learning is now being dictated by user-driven input methods. Neural-network algorithms are among the most interesting machine-learning techniques. The…

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