Deep learning models go above and beyond traditional machine learning and can process data and recognize patterns much more efficiently.

The advantage of deep learning is that the program builds the feature set all by itself through unsupervised learning. For instance, the model is fed with training data made up of labeled images ...

Machine vision is vital for industrial automation, providing essential image analysis amid labor shortages. Effective ...

Author Tae Kim reveals that Nvidia CEO Jensen Huang invited executives to pitch ideas for his SIGGRAPH 2018 keynote just two ...

Facial expression recognition (FER) has been widely used in healthcare, assistive technologies, and emotion-aware AI systems, ...

Alongside the launch of new RTX 50 graphics cards, UL has updated its iconic 3DMark benchmark with a new DLSS feature test, ...

Using deep learning models, scientists at Sharjah University have designed techniques to automatically predict suitable image dimensions to fit different screens or devices far more efficiently and ...

The seven decades of "artificial intelligence" have been marked by exaggerated promises, surprising developments and ...

Abstract: In this paper, different from previous traditional multi-exposure image fusion (MEF) algorithms that use handdesigned feature extraction approaches or deep learning-based algorithms that ...