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Sunday, January 21, 2018

AI Definitions: Machine Learning vs. Deep Learning vs. Cognitive Computing vs. Robotics vs. Strong AI…. | EnterpriseTech

"AI is the compelling topic of tech conversations du jour, yet within these conversations confusion often reigns – confusion caused by loose use of AI terminology" according to Doug Black, Managing Editor.

Photo: EnterpriseTech

The problem is that AI comes in a variety of forms, each one with its own distinct range of capabilities and techniques, and at its own stage of development. Some forms of AI that we frequently hear about, such as Artificial General Intelligence, the kind of AI that might someday automate all work and that we might lose control of – may never come to pass. Others are doing useful work and are driving growth in the high performance sector of the technology industry.

These definitions aren’t meant to be the final word on AI terminology, the industry is growing and changing so fast that terms will change and new ones will be added. Instead, this is an attempt to frame the language we use now. We invite your feedback in the hope of encouraging discussion and greater clarity, and we plan to update this list over time.

Our source for all but the last of these definitions is a company well-versed in AI: Pegasystems, for more than 30 years a developer of operations and customer engagement software and a company that studies the implications and impacts of AI in the workplace...

Whether AI, broadly defined, remains applied/narrow/weak, as it is today, or becomes general/strong/super/full is the great technology debate of our time.
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Source:  EnterpriseTech


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