Abstract: Function approximation by artificial neural networks (ANNs) are often carried out via a collocation grid approach. However, for certain combinations of grids and functions, the training data ...

A novel F-actin-binding motif consisting of an α-helix hairpin from a Legionella pneumophila lysine fatty acyltransferase has the potential to be developed as an F-actin probe.

Explore different methods for authenticating devices on a network, from hardware addresses to advanced certificate-based ...

Abstract: The paper proposes a model-free method for improvement of measurements dynamic in the case of time-varying measurement quantity. As an example, the oscillating mass measurement process is ...

AI coding work is rising fast, but the biggest payoff isn’t evenly shared. A Science analysis suggests seasoned developers ...

If you’re looking for a place to start, W3Schools has a Python tutorial that’s pretty straightforward. It breaks things down ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Learn the NumPy trick for generating synthetic data that actually behaves like real data.