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.

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

McDonald's wants to use Amazon-like technology to speed up drive-thru lines. Credit: Zhang Peng / LightRocket via Getty Images The past couple of years have made it abundantly clear just how much of ...

SEATTLE--(BUSINESS WIRE)--Attunely Inc., a pioneer in deploying machine learning to maximize revenue recovery and enhance the consumer experience, today announced $9 million in financing. The new ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

Imagine predicting the exact finishing order of the Kentucky Derby from a still photograph taken 10 seconds into the race. That challenge pales in comparison to what researchers face when trying to ...

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

An amazing thing about algorithms is they operate in the shadows. Machine learning and artificial intelligence are both ubiquitous and unnoticeable. For example, most hotel and airline prices are ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...