Hardware
2 milestones in AI history
ResearchThe Birth of AI
The Perceptron
Frank Rosenblatt built the Mark I Perceptron, the first hardware implementation of an artificial neural network. It could learn to classify simple visual patterns. The New York Times reported it as an 'Electronic Brain' that the Navy expected would 'be able to walk, talk, see, write, reproduce itself and be conscious of its existence.'
Frank RosenblattCornell Aeronautical Laboratory
InfrastructureDeep Learning Dawn
GPU Computing for Neural Networks
Researchers including Andrew Ng demonstrated that GPUs (graphics processing units) could train neural networks 10-70x faster than CPUs. NVIDIA's CUDA platform made GPU programming accessible. This hardware breakthrough removed the computational bottleneck that had held back deep learning.
Andrew NgStanford UniversityNVIDIA