PREDICTING THROUGH COMPUTATIONAL INTELLIGENCE: A DISRUPTIVE CYCLE IN OPTIMIZED AND REACHABLE DEEP LEARNING ALGORITHMS

Machine learning has achieved significant progress in recent years, with systems achieving human-level performance in diverse tasks. However, the true difficulty lies not just in creating these models, but in implementing them optimally in everyday use cases. This is where inference in AI takes center stage, emerging as a primary concern for resear