By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

An NYU team uses machine learning to analyze neural activity data and uncover how speech is produced. In a recent paper ...

Learn how to build your own GPT-style AI model with this step-by-step guide. Demystify large language models and unlock their ...

Most dynamical models introduced in the past were linear, which means that they assumed that changes in neural activity would follow a simple structure ... modeling framework based on recurrent neural ...

Uncovering the relationship between structure ... neuronal networks. They also developed mathematical models based on experimental data to predict how connectivity influences activity across space and ...

The dynamic neural network (DNN), in contrast to the static counterpart, offers numerous advantages, such as improved accuracy, efficiency, and interpretability. These benefits stem from the network’s ...

The brain doesn't merely register time—it structures it, according to new research from the Kavli Institute for Systems ...

Microsoft’s artificial intelligence tool BioEmu can predict the multiple conformational states of a protein, giving insight into how a protein moves and its potential function.

In this article, we review neural networks which have neurons with binary operations or networks that use binary transforms such as the Walsh-Hadamard transform (WHT). Neural networks with binary ...