Deep Learning In recent years, quantum leaps have been made in a wide range of cutting-edge technologies. From speech-recognition programs to adaptive language processing tools, these advances are made possible by a family of AI techniques known as deep learning.
Also known as “deep structured” or “hierarchical” learning, deep learning teaches machines to ignore all but the most important features of a sound or image – a hierarchical world view that accounts for infinite variation. It’s deep learning that opened the door to driverless cars and speech-recognition engines like Siri, and it is this method of learning that will likely catapult AI to new horizons.
Smarter Robots Over the short-term, deep learning will continue to help imbed AI in robots and devices. IBM is currently using machine learning algorithms to train robots to associate gestures and tones with phrases. The company’s AI technology is already embedded into robots made by other companies, such as SoftBank’s concierge and sales associate robot, Pepper. Machine learning algorithms can also help robots learn to more effectively navigate space (self-driving cars), and be incorporated into robotic devices such as bionic eyes.
Intelligent Internet There’s been a lot of talk about the creation of a so-called “intelligent Internet.” The first steps towards such a networked intelligent system have already been taken. Siri, for example, is not an isolated application.
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