OPEN THE "BLACK BOX" TO BUILD BETTER AI MODELS – DURKKAS INFOTECH

These powerful machine learning models are typically based on artificial neural networks, which can have millions of nodes processing data to make predictions. Because of their complexity, researchers often refer to these models as "black boxes." Even the scientists building the models don't understand everything that's going on under the hood. Other examples of machine learning on graphs are traffic routing, chip design, and recommender systems. Designing these models is made even more difficult by the fact that the data used to train these models is often different from the data the models see in the field.