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

Artificial intelligence is everywhere these days, but the fundamentals of how this influential new technology work can be difficult to wrap your head around. Two of the most important fields in AI ...

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.

Artificial intelligence is simply how to let machines or computers do things intelligently like people. AI has a pro over human intelligence, and that is because AI is more lasting, more constant, ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

A joint research team from NIMS, Tokyo University of Science, and Kobe University has developed a new artificial intelligence ...

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

Machine learning and deep learning are both parts of artificial intelligence, but they work in different ways — like a smart student versus a super-specialised ...