Automation of AI: Accelerating the AI Revolution
summary
Describes concrete AutoAI tools: AI designing AI via "new nets" in Watson OpenScale that synthesizes neural networks from scratch for a given training set and reaches ~93% accuracy on a vehicle‑repair estimator in an overnight run using one to two GPUs, matching hand‑tuned models. Shows AI optimizing AI that automates feature engineering and raises a model from 89% to 92% via hierarchical exploration and fusion. Shows AI correcting AI with Watson OpenScale applying real‑time correction layers without rebuilding models.
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