Machine learning has achieved significant progress in recent years, with systems achieving human-level performance in various tasks. However, the main hurdle lies not just in creating these models, but in implementing them efficiently in practical scenarios. This is where machine learning inference becomes crucial, emerging as a primary concern for https://titusrrels.timeblog.net/63798149/processing-by-means-of-deep-learning-a-disruptive-generation-towards-universal-and-swift-computational-intelligence-frameworks