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

Cognitive Computing – AI comes in many forms, each at its own stage of development with its own definition, techniques and capabilities. Some forms – such as Artificial General Intelligence, AI super-intelligence or Strong AI, the kind of AI that might someday automate all work and that we might lose control of – live in the future and may never (some say will never) happen. Other forms of AI are doing valuable work today and are driving growth in the high performance sector of the technology industry.

There’s a key distinction is between “strong” and “narrow” AI. The latter is limited in scope to handling specific tasks and specific problems; that’s the current state of AI. Strong AI would enable machines and robots to handle multiple tasks and to integrate the learning from multiple disciplines simultaneously, what’s referred to as the “emergent property.” Strong AI could, theoretically, take on human-like powers of intuition, emotion and empathy. R&D groups around the world are working on breakouts into early forms of strong AI, but for now, narrow AI is the rule of the day.

Another interesting point: AI has undergone several hype cycles since its emergence 60 years ago that, at each cycle’s end, left AI discredited, the bane of entrepreneurs and investors. As hot as AI is today, we hear talk that another “AI winter” may be in the offing. Some of these predictions refer to the unlikelihood of AI super-intelligence, but it’s also true that AI’s relative lack of technological maturity makes it extremely difficult to implement, requiring the specialized and expensive capabilities of data scientists under the direction of AI-savvy IT managers experienced in guiding AI projects to fruition. AI democratization, the integration of tools, techniques and technologies, combined with support services, that help overcome AI complexities, is critical to forestalling a modified, limited form of AI winter.  It’s incumbent on technology vendors to bring AI within the skill level of more companies.

This article originally appeared on enterpriseai.news.com To read the full article, click here.

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