🌱 The Origins: 1950s - 1970s
- 1950: Alan Turing publishes "Computing Machinery and Intelligence", introducing the Turing Test 🧩.
- 1956: The term "Artificial Intelligence" is coined at the Dartmouth Conference 🏫.
- 1960s: Early AI research focuses on symbolic reasoning and expert systems 🧠.
🔥 The Rise and Challenges: 1980s - 1990s
- 1980s: Neural networks experience a revival, but face limitations in computational power ⚙️.
- 1990s: Machine learning gains traction with algorithms like decision trees and Bayesian networks 📊.
- 1997: IBM's Deep Blue defeats Garry Kasparov in chess, showcasing AI's strategic capabilities ♟️.
🚀 The Modern Era: 2000s - Present
- 2000s: Big data and GPU acceleration fuel advancements in deep learning 📈.
- 2012: AlexNet revolutionizes image recognition, marking a breakthrough in convolutional neural networks 🖼️.
- 2020s: Large language models (LLMs) like GPT-3 and BERT redefine natural language processing 💬.
- 2023: AI ethics and governance become critical topics in global tech discourse 🌍.
📚 Recommended Reading
Explore more about AI's evolution and its societal impact through our curated resources! 🌟