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eLearning Trends In 2020 To Look Out For - eLearning Industry

#artificialintelligence

In December 2019, I began work on my eBook and this article on eLearning trends in 2020. This is the ninth in a series of articles and eBooks on eLearning trends since 2017. Here is my list of eLearning trends in 2020. I believe all of these will be an integral part of workplace learning in the near future. Given the large number of trends, I have logically grouped them into 3 sections.


r/artificial - Is it 100% naive to enter AI without doing any formal training?

#artificialintelligence

TLDR: Depends how hard your problem is. In the strictest sense, you don't necessarily need formal training. I'm sure a smart enough person like Stephen Hawking (RIP) could figure pretty much anything out with enough years of diligent study with various online resources. However, for us mere mortals (no pun intended), it's hairier. AI is very vast, and depending on your case, you could need a lot of formal training or none at all.


Pattern recognition

#artificialintelligence

I helped work on a thing last weekend that I can't write about, yet, and then last week I found my way to San Jose for Nvidia's GPU Technology Conference, and fine, all right, OK, I'm convinced: Now that the smartphone boom is plateauing, AI/deep learning is the new coal face of technology -- and, at least for now, Nvidia bestrides it like many parallel colossi. I use the metaphor "coal face" advisedly. It's the place where advances are being made, where the most value is being created … but it's also a messy business, often with little visibility, with many ways to go terribly wrong. Neural networks are still more applied science than they are engineering, although it's beginning to move along that spectrum. The Nvidia GPU conference featured a sizable zone of scientific posters exploring the cutting edge of GPU usage, something you don't see at a lot of tech conferences.