The Deep Learning Revolution
When machines learned how to see and think.
Explore this event on the interactive timeline →In 2012, a neural network architecture called AlexNet crushed the competition in the ImageNet computer vision contest by using GPUs to train deep neural networks. This massive breakthrough proved the viability of deep learning, sparking an AI arms race that culminated in modern Large Language Models like ChatGPT.
Verified Facts
- The mathematical concepts behind neural networks had existed since the 1950s, but they lacked the massive datasets and parallel processing power (GPUs) needed to actually work.
- AlexNet was trained for six days simultaneously on two NVIDIA GTX 580 consumer graphics cards—originally designed just to render video games.
- This specific event is widely considered the "Big Bang" of modern AI, leading directly to the explosion of generative AI, autonomous vehicles, and deepfakes over the next decade.