AUTOMATED REASONING INFERENCE: THE LOOMING BOUNDARY POWERING PERVASIVE AND RESOURCE-CONSCIOUS MACHINE LEARNING INTEGRATION

Machine learning has achieved significant progress in recent years, with algorithms surpassing human abilities in numerous tasks. However, the true difficulty lies not just in training these models, but in utilizing them effectively in everyday use cases. This is where machine learning inference becomes crucial, emerging as a primary concern for sc

AI has achieved significant progress in recent years, with systems surpassing human abilities in numerous tasks. However, the main hurdle lies not just in developing these models, but in deploying them optimally in real-world applications. This is where AI inference becomes crucial, emerging as a primary concern for scientists and innovators alike.