From Turing's dream to deep learning breakthroughs. Explore the complete history of artificial intelligence.
Deep learning & neural networks
Classical AI & early algorithms
AGI & beyond
From concept to reality - 70 years of AI evolution
Alan Turing introduces the concept of machine intelligence
Rise of knowledge-based systems in industry
Neural networks achieve human-level performance
Large language models transform every industry
Breakthrough moments that shaped AI history
The birth of AI as an academic discipline. John McCarthy coins "Artificial Intelligence"
IBM's Deep Blue defeats world chess champion Garry Kasparov
Google's AlphaGo defeats world Go champion in landmark achievement
Google publishes "Attention Is All You Need" - foundation for LLMs
OpenAI releases 175-billion parameter language model
AI models understand text, images, audio, and video together
Core innovations powering AI evolution
Brain-inspired computing systems that learn patterns from data
Algorithms that enable computers to learn without explicit programming
Multi-layered neural networks for complex pattern recognition
Teaching machines to understand human language
Enabling machines to see and interpret visual information
Learning through interaction with environments
Real-world AI transforming industries
AI diagnoses diseases, discovers drugs, and personalizes treatment plans
Fraud detection, algorithmic trading, risk assessment
Self-driving cars, traffic optimization, route planning
Automated writing, image generation, video editing
Personalized recommendations, inventory management, chatbots
Personalized learning, automated grading, virtual tutors
Traffic management, energy optimization, public safety
Explore AI concepts through interactive visualizations
Watch how neurons activate and learn in real-time
Train models with your own data and see results
Visualize how deep neural networks process information
See sorting, searching, and optimization algorithms in action
Track how data transforms through AI pipelines
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What caused the first AI winter?
The first AI winter (1974-1980) was caused by limited computing power, overhyped expectations, and the failure of machine translation projects. Funding dried up as results didn't match promises.
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Intuitive design that makes AI knowledge accessible
Cutting-edge discoveries shaping AI's future
Latest research in neural architecture, efficient training, and interpretability
Leading organizations advancing AI research globally
Advances in image recognition and processing
Breakthroughs in natural language understanding
Research on alignment and ethical AI development
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Essential tools and materials for AI learning
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