Neural networks are the algorithmic foundation of AI. A few days ago, I read an article on the American popular science website Quanta Magazine, which used a simple example and illustrations to ...

Dr. James McCaffrey of Microsoft Research says a neural network model is arguably the most powerful multi-class classification technique.

Next, the demo creates and trains a neural network model using the MLPClassifier module ("multi-layer perceptron," an old term for a neural network) from the scikit library. [Click on image for larger ...

Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered ...

A simple algorithm that revolutionizes how neural networks approach language is now taking on image classification as well. It may not stop there.

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

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 ...