Executing using Computational Intelligence: A Groundbreaking Cycle accelerating Resource-Conscious and Accessible Neural Network Systems
Artificial Intelligence has made remarkable strides in recent years, with models achieving human-level performance in various tasks. However, the true difficulty lies not just in training these models, but in utilizing them optimally in real-world applications. This is where machine learning inference becomes crucial, emerging as a primary concern