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

Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: ...

The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

“Deep learning models are highly effective at recognizing patterns because they process information in layers,” says Sukh Sohal, Senior Consultant at Affinity Reply. He explains that each ...

Developed by Google, TensorFlow is a software framework that’s widely used for training and inference of neural networks.

AI has demonstrated considerable potential in diabetic foot (DF) management. AI-powered thermal imaging and predictive ...

Unlike traditional robotic systems confined to industrial settings, social robots must interact with dynamic human behavior.

A recent study introduces an innovative method for analyzing body composition using advanced 3D imaging and deep learning techniques.

MIT researchers developed an automated system that optimizes deep-learning models by leveraging both sparsity and symmetry in ...

With global leaders set to attend a summit on artificial intelligence (AI) in Paris on Feb 10-11, here are some of the key concepts in the field.