How a stubborn computer scientist accidentally launched the deep learning boom
Briefly

"I think you've taken this idea way too far," a mentor told her a few months into the project in 2007. "The trick is to grow with your field. Not to leap so far ahead of it." This statement captured the skepticism surrounding her ambitious vision for image data that would ultimately redefine research in AI.
"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." This illustrates the scarcity of data that limited progress in AI before her groundbreaking project.
Read at Ars Technica
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