COMPUTATIONAL INTELLIGENCE REASONING: THE DAWNING FRONTIER DRIVING PERVASIVE AND RESOURCE-CONSCIOUS MACHINE LEARNING ADOPTION

Machine learning has achieved significant progress in recent years, with systems surpassing human abilities in various tasks. However, the main hurdle lies not just in training these models, but in implementing them optimally in everyday use cases. This is where machine learning inference takes center stage, emerging as a key area for scientists an

Machine learning has achieved significant progress in recent years, with models achieving human-level performance in numerous tasks. However, the true difficulty lies not just in creating these models, but in utilizing them effectively in real-world applications. This is where inference in AI becomes crucial, arising as a key area for researchers a