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.

Ben Khalesi covers the intersection of artificial intelligence and everyday tech at Android Police. With a background in AI and data science, he enjoys making technical topics approachable for those ...

Let's start with a common problem that people have, especially when they are just starting out with machine learning. It has to do with running the same program multiple times, and getting different ...

The way human users perceive their interactions with AI systems is, in part, influenced by deliberate choices made by the designers. From depictions of Alan Turing’s early computational machines to ...

AI-powered systems have swept through business, surfing a rising wave of occasionally justified hype. When they're good, they're really good—take, for example, a neural net designed to help Japanese ...

Machine perception is the capability of a computer to take in and process sensory information in a way that’s similar to how humans perceive the world. It may rely on sensors that mimic common human ...