COMPUTING BY MEANS OF NEURAL NETWORKS: THE FOREFRONT OF IMPROVEMENT TRANSFORMING EFFICIENT AND AVAILABLE DEEP LEARNING ARCHITECTURES

Machine learning has made remarkable strides in recent years, with models achieving human-level performance in diverse tasks. However, the true difficulty lies not just in training these models, but in utilizing them efficiently in real-world applications. This is where AI inference takes center stage, emerging as a primary concern for researchers