DECIDING BY MEANS OF NEURAL NETWORKS: A DISRUPTIVE EPOCH IN STREAMLINED AND ATTAINABLE SMART SYSTEM ALGORITHMS

Machine learning has advanced considerably in recent years, with models surpassing human abilities in diverse tasks. However, the main hurdle lies not just in creating these models, but in implementing them effectively in practical scenarios. This is where machine learning inference takes center stage, surfacing as a key area for scientists and ind