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

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...

Artificial intelligence (AI) is currently de rigueur and omnipresent. To have an understanding of artificial intelligence concepts is to gain a perspective on the technological lever whose force ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Sometimes, the best way to examine something is in the context of stuff you already know a little bit about. Or, at least, think you do. Writers, especially journalists, tend to lean on metaphor and ...

At the core of uncovering extreme events such as floods is the physics of fluids – specifically turbulent flows. Researchers leveraged a computer-vision deep learning technique and adapted it for ...

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 ...