Explore the inner workings of advanced neural networks. From synaptic connections to emergent reasoning — witness how machines learn to think.
Scroll horizontally to explore the evolution of artificial intelligence from its origins to the present day.
Alan Turing proposes the "Imitation Game," laying the philosophical foundation for measuring machine intelligence.
Rumelhart, Hinton, and Williams popularize backpropagation, enabling neural networks to learn from errors.
AlexNet wins ImageNet competition, proving deep neural networks can outperform humans in visual recognition.
"Attention Is All You Need" introduces transformers, revolutionizing natural language processing forever.
Multimodal AI systems achieve human-level reasoning across text, image, code, and complex problem solving.
The most fascinating aspect of modern AI isn't what we explicitly taught it — it's what it discovered on its own. Emergent abilities arise from scale, revealing capabilities that surprise even the researchers who built the systems.