And that's what we did. We curated very carefully, 15 million images on the internet, created a taxonomy of 22,000 concepts, borrowing other researchers' work like linguists work on WordNet, and it's a particular way of dictionarying words. And we combine that into ImageNet and we open-sourced that to the research community. We held an annual ImageNet challenge to encourage everybody to participate in this. We continue to do our own research, but 2012 was the moment that many people think was the beginning of the deep learning or birth of modern AI because a group of Toronto researchers led by Professor Geoff Hinton, participated in ImageNet Challenge, used ImageNet big data and two GPUs from NVIDIA and created successfully the first neural network algorithm that can...
We continue to do our own research, but 2012 was the moment that many people think was the beginning of the deep learning or birth of modern AI because a group of Toronto researchers led by Professor Geoff Hinton, participated in ImageNet Challenge, used ImageNet big data and two GPUs from NVIDIA and created successfully the first neural network algorithm that can...