Machine learning has achieved significant progress in recent years, with algorithms surpassing human abilities in diverse tasks. However, the main hurdle lies not just in creating these models, but in utilizing them effectively in everyday use cases. This is where AI inference takes center stage, arising as a key area for researchers and innovators
Intelligent Algorithms Interpretation: The Dawning Innovation accelerating Pervasive and Resource-Conscious Machine Learning Frameworks
Machine learning has advanced considerably in recent years, with models surpassing human abilities in various tasks. However, the real challenge lies not just in creating these models, but in utilizing them optimally in practical scenarios. This is where machine learning inference comes into play, surfacing as a critical focus for experts and tech