The 7 Stages of AI
The evolution of Artificial Intelligence (AI) 🌌🤖🚀 is a captivating journey that has reshaped industries, revolutionized technologies, and redefined human-machine interaction. From its humble beginnings to its current state of sophistication, AI has traversed seven distinct stages, each unveiling new horizons of possibilities.
In this blog, I embark on an AI odyssey, charting the fascinating path through these seven transformative stages.
Stage 1: Symbolic AI — Laying the Foundation
Symbolic AI, the trailblazing phase, emerged in the 1950s, laying the groundwork for AI’s grand expedition. This era focused on rule-based systems, where computers manipulated symbols to mimic human logic. Though limited in complexity, Symbolic AI set the stage for future breakthroughs, sparking the AI flame that would burn brighter with time.
Stage 2: Machine Learning — The Dawn of Data-Driven AI
Machine Learning (ML) signaled the dawn of a data-driven era in the late 20th century. Algorithms learned patterns from data, evolving from simple tasks to complex problem-solving. ML’s prowess in image recognition, language processing, and game-playing introduced AI to mainstream applications, triggering an era of transformative possibilities.
