Model Architecture Optimization Trend 2026

Model architecture optimization refines neural network structures to cut compute costs while preserving accuracy. It's used in training and deployment via pruning, quantization, and neural architecture search. Benefits go to ML engineers, researchers, and edge-device developers seeking faster, cheaper, and greener AI models.