The Dartmouth Workshop (1956)
The term "Artificial Intelligence" was first coined at the Dartmouth Summer Research Project on Artificial Intelligence. Led by John McCarthy and Marvin Minsky, this era focused on symbolic logic and the belief that every aspect of learning could be precisely described and simulated by a machine.
Expert Systems & Knowledge
The 1980s saw the rise of Expert Systems—programs designed to solve complex problems by reasoning through bodies of knowledge. These systems were widely adopted in industries like medical diagnosis and mineral exploration, marking AI's first significant step into corporate and industrial utility.
The Deep Learning Revolution
Fueled by Big Data and GPU acceleration, Deep Learning redefined the possibilities of AI. Neural networks with multiple hidden layers began outperforming humans in image recognition and speech processing, transitioning AI from rule-based logic to pattern recognition.
Generative AI & Transformers
The current era is defined by Large Language Models (LLMs). Using the Transformer architecture, AI has achieved unprecedented capabilities in natural language understanding and generation, moving toward general-purpose intelligence that can assist in coding, writing, and creative reasoning.