PROCESSING BY MEANS OF NEURAL NETWORKS: A DISRUPTIVE PHASE TRANSFORMING OPTIMIZED AND REACHABLE NEURAL NETWORK SOLUTIONS

Machine learning has made remarkable strides in recent years, with models matching human capabilities in numerous tasks. However, the true difficulty lies not just in creating these models, but in implementing them efficiently in real-world applications. This is where AI inference takes center stage, arising as a primary concern for scientists and