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Tuesday, October 27, 2020

AI, the Next Generations

Fairly good, short, non technical piece.    I agree with the first item mentioned:  'unsupervised learning', it is the future, and  it is hard to do generally.    But I note that I do not agree that 'supervised learning' has to be prepared by human 'supervisors'.  As stated below.  It can be gathered by a sensor for example.   Even adapted without human aid.  

The Next Generation Of Artificial Intelligence

Author: Rob Toews in Forbes,   He writes about the big picture of artificial intelligence.

Discussing Yann LeCun

The field of artificial intelligence moves fast. It has only been 8 years since the modern era of deep learning began at the 2012 ImageNet competition. Progress in the field since then has been breathtaking and relentless.

If anything, this breakneck pace is only accelerating. Five years from now, the field of AI will look very different than it does today. Methods that are currently considered cutting-edge will have become outdated; methods that today are nascent or on the fringes will be mainstream.

What will the next generation of artificial intelligence look like? Which novel AI approaches will unlock currently unimaginable possibilities in technology and business? This article highlights three emerging areas within AI that are poised to redefine the field—and society—in the years ahead. Study up now.

1. Unsupervised Learning

The dominant paradigm in the world of AI today is supervised learning. In supervised learning, AI models learn from datasets that humans have curated and labeled according to predefined categories. (The term “supervised learning” comes from the fact that human “supervisors” prepare the data in advance.)  ... " 

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