Maheep Purohit - 18Yrs Old on Re-Coding AI's Truth Engine

AI learning problem, unreliable data in AI, machine learning bias, predictive maintenance AI, epistemic weighting engine, here’s what this breakthrough means. In this episode of Front Page, we speak with Maheep Purohit, an 18Yrs Old researcher building an AI system that questions a core assumption in machine learning: should models learn from all data equally? Chapters: 00:00 The Origin: A Teen Researcher’s Big Idea 01:29 The Core Problem: AI Learns from Imperfect Data 02:37 Why He Built This Independently 04:37 How the EWE System Filters Learning 06:10 Bias vs Truth: Is AI Just Pleasing Humans? 07:09 Real-World Use Case: Pipeline Industry 09:02 Fits with Existing Systems (Not Replacement) 13:10 Front Page Take: Learning What Matters #ArtificialIntelligence #MachineLearning #AIInnovation #FutureOfAI #AIMNetwork ------------------------------------------------------------------------------------------ 👋 ABOUT AIM NETWORK AIM Network is India's leading voice on the intersection of AI, Technology, and Business. We bring you sharp analysis, breaking news, and original perspectives on everything from Generative AI breakthroughs to geopolitical market shifts. 🔔 Subscribe for daily insights:    / @aimmediahouse   📺 WATCH OUR POPULAR SERIES: Front Page (Daily Tech News):    • Front Page   Tech Talks (Podcast):    • Tech Talk   📰 STAY UPDATED: Website: https://analyticsindiamag.com/ LinkedIn:   / analytics-india-magazine   Twitter/X: https://x.com/Analyticsindiam Instagram:   / aim.media.house   ------------------------------------------------------------------------------------------