Artificial intelligence
Optimizing Autotvm with Parallel Genetic Algorithms Boosts AI Performance
Researchers from Beihang University in Beijing have made significant advancements in the field of machine learning, discovering a new method to optimize auto-tuning for deep neural networks. The team, led by Yuchen Feng, employed a parallel genetic algorithm (PGA) in conjunction with the AutoTVM auto-tuning process to achieve improved performance.