Executing with Smart Systems: A Revolutionary Wave driving Agile and Ubiquitous Neural Network Architectures
Machine learning has advanced considerably in recent years, with models matching human capabilities in various tasks. However, the real challenge lies not just in creating these models, but in implementing them efficiently in practical scenarios. This is where machine learning inference becomes crucial, emerging as a critical focus for researchers