AlexNet wins ImageNet Large Scale Visual Recognition Challenge

A deep convolutional neural network, AlexNet, developed by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton, won the ImageNet competition by a significant margin, dramatically reducing the error rate in image recognition. This event sparked widespread interest and investment in deep learning.

Significance

This victory was a seminal moment, proving the practical power of deep learning and igniting the 'AI boom.' It demonstrated that neural networks, given enough data and computational power (GPUs), could outperform traditional methods, paving the way for industrial applications and eventually cloud AI services.