I was reading yet another document about artificial intelligence (AI). The introduction was covering the basics and the history of the subject. The authors mentioned expert systems and the real flaws ...

Inferred movements — New research from the University of Edinburgh and Adobe Research could be a huge leap forward in allowing creating more natural in-game movements. The research uses deep neural ...

Smooth developer experience is fundamental in artificial intelligence designs. Development toolkits can streamline the preparation of trained neural networks for edge and low-latency data-center ...

If you would like to learn more about building your very own neural networks or machine learning you may be interested in a free course has been made available by the team over at freeCodeCamp.org.

Assistant Professor of Electrical and Computer Engineering Jason Eshraghian. Four years ago, UC Santa Cruz’s Jason Eshraghian developed a Python library that combines neuroscience with artificial ...

Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this ...

An open source code library for brain-inspired deep learning, called 'snnTorch,' has surpassed 100,000 downloads and is used in a wide variety of projects. A new paper details the code and offers a ...

Artificial intelligence (AI) has made tremendous progress since its inception, and neural networks are usually part of that advancement. Neural networks that apply weights to variables in AI models ...