Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Welcome to Neural Basics, a collection of guides and explainers to help demystify the world of artificial intelligence. The original vision of the pioneers of artificial intelligence was to replicate ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

The Lorenz attractor is an example of complex dynamical systems. Two neuroscientists have discovered a way to learn complex ...

Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code. Most ...

Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions. Look at a picture of a cat, and you’ll instantly recognize it as a cat. But try to ...

The best way to understand neural networks is to build one for yourself. Let's get started with creating and training a neural network in Java. Artificial neural networks are a form of deep learning ...