AI HUM TCH ML MLSec_Forge algo(15/40)The Learning Revolution: Annealing, Trees & Backprop (1983–1986) By the mid-1980s, the “Expert Systems” boom was beginning to plateau. Hard-coding human rules was expensive and brittle. The field needed…
AI HUM ML MLSec_Forge algo(13/40)The Dawn of AI: Learning, Logic & Heuristics The Genesis of the Three Core Pillars
AI HUM ML MLSec_Forge Algo(31/40)Real-World Perception & Action: Pixels, Boxes & Trust (2015) By 2015, Neural Networks were excellent at saying “This is a cat.” But in the real world, that isn’t enough. A self-driving car needs to…
AI ART TCH HUM ML MLSec_Forge Algo(30/40)The Great CNN “Zoo” & Its Tools: VGG, Inception & Batch Norm (2014–2015) In 2012, AlexNet proved that Deep Learning worked. But it was a messy, hand-tuned architecture that felt more like alchemy than…
