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 ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

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 ...

Young children sometimes believe that the moon is following them, or that they can reach out and touch it. It appears to be much closer than is proportional to its true distance. As we move about our ...

Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! #NeuralNetworks ...

At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice ...

As many as half of cancer-signaling proteins once thought to be resistant to drug treatment due to lack of targetability may, in fact, be treatable, a study conducted at Perelman School of Medicine at ...