Welcome to Neural Basics, a collection of guides and explainers to help demystify the world of artificial intelligence. One of the more complex and misunderstood topics making headlines lately is ...

A new tool, based on topology, makes finding the areas where neural networks are confused as simple as spotting mountaintops from an airplane. The ability to spot and address those areas of confusion ...

Dr. Tam Nguyen receives funding from National Science Foundation. He works for University of Dayton. There are many applications of neural networks. One common example is your smartphone camera’s ...

It’s been ten years since AlexNet, a deep learning convolutional neural network (CNN) model running on GPUs, displaced more traditional vision processing algorithms to win the ImageNet Large Scale ...

The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the tail end ...

Scientists have developed an artificial neural network out of DNA that can recognize highly complex and noisy molecular information. Researchers at Caltech have developed an artificial neural network ...