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 ...

Such networks are being used in chemistry and drug discovery as well, for example to predict the binding affinities of proteins and ligands based on their structures. In combination with a technique ...

A topic that's often very confusing for beginners when using neural networks is data normalization and encoding. Because neural networks work internally with numeric data, binary data (such as sex, ...

That discovery was made possible thanks to the growing amount of both data and computing power that had become available by 2012. This feature offers a primer on neural networks.

Neural networks today do everything from cameras to translations. A professor of computer science provides a basic explanation of how neural networks work.

Understanding the feed-forward mechanism is required in order to create a neural network that solves difficult practical problems such as predicting the result of a football game or the movement of a ...

A simulation that uses machine learning predicts neural-circuit function in the fly brain from the connectivity between neurons.

Before transformers, neural networks had at most a few hundred million parameters; today, the largest transformer-based models have more than a trillion. Much of the improvement in language-model ...