Artificial neural networks are machine learning models that have been applied to various genomic problems, with the ability to learn non-linear relationships and model high-dimensional data. These ...

The integration of neural network models in autonomous robotics represents a monumental leap in artificial intelligence and robotics. These models, mirroring the human brain's complexity and ...

Department of Chemistry, Yale University, New Haven, Connecticut 06511, Unites States ...

Biologically inspired neural networks offer interpretability but often underperform deep learning models due to limited optimization strategies. Here, we developed a model inspired by the primate ...

A distinguishing feature of the neural network models used in Physics and Chemistry is that they must obey basic underlying symmetries, such as symmetry to translations, rotations, and the exchange of ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

A web application for classifying clothing photos uploaded by users. It makes use of a deep learning model which is deployed using FastAPI. Achieved 85% accuracy in classifying images.

Abstract: JavaScript is a dynamic computer programming language that has been used for various cyberattacks on client-side web applications. Malicious behaviors in JavaScript are injected on purpose ...