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Epistemological Shifts in Artificial Intelligence Development: A Historical Perspective

Artificial Intelligence (AI) has undergone a dramatic evolution since its inception in the mid-20th century. Beyond advancements in hardware and algorithms, fundamental shifts have occurred in how we understand knowledge, learning, and intelligence itself within the field. This article explores these epistemological shifts, examining how different approaches to knowledge representation and learning have shaped the

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Peakforms

Hey everyone 👋 A while ago, I was working at a tech company. Everything was great. The team, the projects, the management. And every month we’d get HR surveys asking things like “What do you like?” and “What can we improve?” I usually got lazy and typed “everything’s great,” or even asked AI to help

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Historical Trajectories of Artificial Intelligence Research: A Meta-Analysis

Abstract This article presents a meta-analysis of the historical trajectories of Artificial Intelligence (AI) research, exploring the key milestones, influential figures, dominant paradigms, and cyclical trends that have shaped the field. By synthesizing findings from various historical accounts, academic literature, and technological reports, we aim to provide a comprehensive overview of AI’s evolution, highlighting both

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