PROCESSING BY MEANS OF MACHINE LEARNING: A PIONEERING GENERATION FOR STREAMLINED AND ATTAINABLE NEURAL NETWORK FRAMEWORKS

Machine learning has made remarkable strides in recent years, with models achieving human-level performance in numerous tasks. However, the real challenge lies not just in creating these models, but in implementing them efficiently in real-world applications. This is where machine learning inference takes center stage, emerging as a primary concern