How did a student's GPU-powered neural network shock the AI world and launch the deep learning era?
AlexNet didn't just win a competition - it rewrote the rules of artificial intelligence overnight.
The answer
In September 2012, Alex Krizhevsky, along with Ilya Sutskever and Geoffrey Hinton at the University of Toronto, entered a deep convolutional neural network called AlexNet into the ILSVRC competition and achieved a top-5 error rate of 15.3%, crushing the second-place entry at 26.2% by a margin of nearly 11 percentage points. AlexNet used 60 million parameters across 8 layers, trained on two NVIDIA GTX 580 GPUs for five to six days. This victory is widely considered the 'Big Bang' of the deep learning revolution, triggering a massive shift in AI research from hand-engineered features to learned representations.
Source: Communications of the ACM
- deep learning
- convolutional neural networks
- gpu computing
More from AI & Machine Learning
- What radical question did Alan Turing ask in 1950 that launched the entire field of artificial intelligence?
- Can a machine fool you into thinking it's human - and does that mean it's truly intelligent?
- What happened at a small Dartmouth workshop in 1956 that gave artificial intelligence its name?
- How did a 1958 invention called the Perceptron convince people that machines could learn like brains?
- Could a 1966 chatbot really make people believe they were talking to a therapist?
- What was the first robot that could 'reason' about its own actions?