Well deserved!
Imagenet challenge and 2012 has been an inflection point but few have slogged through the AI winter and made it through to the other side.
Imagenet challenge and 2012 has been an inflection point but few have slogged through the AI winter and made it through to the other side.
> On 30 September 2012, a convolutional neural network (CNN) called AlexNet achieved a top-5 error of 15.3% in the ImageNet 2012 Challenge, more than 10.8 percentage points lower than that of the runner up. This was made feasible due to the utilization of Graphics processing units (GPUs) during training, an essential ingredient of the deep learning revolution. According to The Economist, "Suddenly people started to pay attention, not just within the AI community but across the technology industry as a whole."