ASI-ARCH marks a breakthrough in AI self-innovation: an autonomous system that designs, codes, and validates new neural network architectures without human input. Conducting 1,773 experiments, it discovered 106 state-of-the-art models, revealing a scaling law for scientific discovery. Like AlphaGo’s Move 37, ASI-ARCH exposes principles beyond human intuition, signaling a new era where AI invents AI.

Discover how scaling techniques in machine learning can boost model performance, ensure faster training, and enhance prediction accuracy.