+- MKLab (https://mklab.gr)
+-- Forum: [INDEX] (https://mklab.gr/forumdisplay.php?fid=1)
+--- Forum: ARTFICIAL INTELLIGENCE (AI) (https://mklab.gr/forumdisplay.php?fid=5)
+---- Forum: ARTICLES (https://mklab.gr/forumdisplay.php?fid=33)
+---- Thread: The Journey of Artificial Intelligence and Machine Learning (/showthread.php?tid=325)
The Journey of Artificial Intelligence and Machine Learning - mklabgr - 06-13-2026
The Journey of Artificial Intelligence and Machine Learning
Summary The article outlines the historical evolution of artificial intelligence and machine learning, tracing its journey from foundational 19th-century mathematics and Alan Turing's theoretical computer science to the modern era of deep learning. It categorizes AI into narrow, general, and super intelligence, while mapping how the field shifted away from early deterministic, rules-based logic—which suffered setbacks during "AI winters"—toward data-driven, probabilistic methods in the 1990s. The contemporary AI revolution was ultimately triggered in the mid-2000s by breakthroughs in multi-layered neural networks, the massive explosion of internet-era big data, and the hardware acceleration of GPUs. This combination has allowed advanced frameworks like deep reinforcement learning to successfully tackle highly complex, real-world decision-making tasks.
ARTICLE
Summary The article outlines the historical evolution of artificial intelligence and machine learning, tracing its journey from foundational 19th-century mathematics and Alan Turing's theoretical computer science to the modern era of deep learning. It categorizes AI into narrow, general, and super intelligence, while mapping how the field shifted away from early deterministic, rules-based logic—which suffered setbacks during "AI winters"—toward data-driven, probabilistic methods in the 1990s. The contemporary AI revolution was ultimately triggered in the mid-2000s by breakthroughs in multi-layered neural networks, the massive explosion of internet-era big data, and the hardware acceleration of GPUs. This combination has allowed advanced frameworks like deep reinforcement learning to successfully tackle highly complex, real-world decision-making tasks.
ARTICLE