[rramadass]

After actually having read the article i can say that your comment is unnecessarily negative and clueless.

The article is a very good historical one showing how 3 important things came together to make the current progress possible viz;

1) Geoffrey Hinton's back-propagation algorithm for deep neural networks

2) Nvidia's GPU hardware used via CUDA for AI/ML and

3) Fei-Fei Li's huge ImageNet database to train the algorithm on the hardware. This team actually used "Amazon Mechanical Turk"(AMT) to label the massive dataset of 14 million images.

Excerpts;

“Pre-ImageNet, people did not believe in data,” Li said in a September interview at the Computer History Museum. “Everyone was working on completely different paradigms in AI with a tiny bit of data.”

“That moment was pretty symbolic to the world of AI because three fundamental elements of modern AI converged for the first time,” Li said in a September interview at the Computer History Museum. “The first element was neural networks. The second element was big data, using ImageNet. And the third element was GPU computing.”