Neural networks are now applied across the spectrum of AI applications while deep learning is reserved for more specialized or advanced AI use cases.

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

In most discussions, deep learning means using deep neural networks. There are, however, a few algorithms that implement deep learning using other kinds of hidden layers besides neural networks.

Geoffrey Hinton, professor at the University of Toronto and engineering fellow at Google Brain, recently published a paper on the Forward-Forward algorithm (FF), a technique for training neural ...

What is AI? Information Age has created a simple guide to AI, machine learning, neural networks, deep learning and random forests.

Deep-learning algorithms solve the same problem using deep neural networks, a type of software architecture inspired by the human brain (though neural networks are different from biological neurons).

Recent advances in light-weight deep learning models and network architecture search (NAS) algorithms are reviewed, starting with simplified layers and efficient convolution and including new ...

Deep learning and neural networks are already miles ahead of us in that regard. They can understand the context of images and begin to insert color where necessary.