Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...