This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Abstract: Recent advancements in deep fake audio technology have led to the creation of highly realistic synthetic voices that mimic human speech patterns. However, this technology raises ethical ...

Abstract: This research involves the use of deep learning techniques to detect emotions, in Telugu speech signals, a research domain that has received little attention. Amrita speech emotion dataset-1 ...

What comes to mind when you think of a slime tutorial? Hundreds of videos of children using glue and borax to make some horrifying concoction, perhaps? For the theater community, the phrase’s meaning ...

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 ...

Lets geek out. The HackerNoon library is now ranked by reading time created. Start learning by what others read most. Lets geek out. The HackerNoon library is now ranked by reading time created. Start ...

The Data Institute for Societal Challenges at the University of Oklahoma is dedicated to facilitating data-oriented research across its campuses. To empower researchers at OU Norman and OU Health ...

Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.