COMPUTING BY MEANS OF NEURAL NETWORKS: A FRESH PHASE TRANSFORMING EFFICIENT AND AVAILABLE MACHINE LEARNING ALGORITHMS

Artificial Intelligence has achieved significant progress in recent years, with algorithms surpassing human abilities in numerous tasks. However, the true difficulty lies not just in developing these models, but in deploying them optimally in everyday use cases. This is where machine learning inference becomes crucial, emerging as a primary concern

Machine learning has advanced considerably in recent years, with algorithms 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 inference in AI takes center stage, surfacing as a primary concern for resear