With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network. Over the past few months, the use of the Python programming ...

The data science doctor continues his exploration of techniques used to reduce the likelihood of model overfitting, caused by training a neural network for too many iterations. Regularization is a ...

Neural networks have become a hot topic over the last decade, put to work on jobs from recognizing image content to generating text and even playing video games. However, these artificial neural ...

What if in our attempt to build artificial intelligence we don’t simulate neurons in code and mimic neural networks in Python, but instead build actual physical neurons connected by physical synapses ...

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.

Advances in artificial intelligence (AI) have given machines the ability to see and speak. Training an AI system to smell, however, is a nascent endeavour. Last year, researchers at Columbia ...

Two prominent artificial intelligence researchers have launched a startup, Sakana AI, that aims to build a new kind of nature-inspired neural network. The Financial Times reported the startup’s launch ...