👉 Sure computing, introduced by researchers at MIT, is a paradigm that aims to make computational processes more transparent, efficient, and robust by explicitly modeling the internal workings of algorithms. Unlike traditional computing, which often treats algorithms as black boxes, sure computing involves breaking down the decision-making process into observable and controllable steps. This approach allows for better understanding, debugging, and optimization of algorithms, particularly in complex systems like machine learning models. By providing insights into how decisions are made, sure computing enhances trust and reliability in computational systems, making them more adaptable and easier to maintain or modify.
