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