Data and algorithms are how AI learns, that is different from the way humans learn. Human beings learn using their experience, emotional responses and comprehension, which indicate starkly different ...

Pattern recognition is a multidisciplinary field that focuses on the automated identification, categorisation, and interpretation of patterns in data. Drawing on methods from computer vision, signal ...

Artificial intelligence (AI) has made remarkable strides in recent years, particularly in its ability to reason. At the heart of this evolution are new technologies like neural networks and large ...

Artificial intelligence is rapidly becoming medicine’s most powerful microscope, revealing patterns in human DNA that were ...

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

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.