Both generative AI and machine learning use algorithms to address complex challenges, but generative AI uses more sophisticated modeling and more advanced algorithms to add a creative element.

Classification: These algorithms take a dataset and assign each element to a fixed set of classes. For example, Microsoft has trained a machine vision model to examine a photograph and make an ...

Additionally, machine learning algorithms can be susceptible to overfitting, which is when the algorithm learns the training data too well and does not generalize well to new data.

Amid a growing number of studies suggesting links between ultra-processed food (UPF) and health risks, the degree to which food is processed is well and truly in the spotlight. Most categorise degree ...