Although many physical processes appear random to us, it turns out to be challenging to produce high-quality randomness—bits for which it is guaranteed that no one can predict them 6,7. From a ...

nvmath-python brings the power of the NVIDIA math libraries to the Python ecosystem. The package aims to provide intuitive pythonic APIs giving users full access to all features offered by NVIDIA's ...

The Environmental Source Apportionment Toolkit (ESAT) is an open-source software package that provides API and CLI functionality to create source apportionment workflows specifically targeting ...

Physical unclonable functions (PUFs) based on unique tokens generated by random manufacturing processes have been proposed as an alternative to mathematical one-way algorithms. However, these tokens ...

Mainframe computers are often seen as ancient machines—practically dinosaurs. But mainframes, which are purpose-built to process enormous amounts of data, are still extremely relevant today. If ...

More than half of the Top 10 supercomputing sites worldwide use GPU accelerators and they are becoming ubiquitous in workstations and edge computing devices. GeNN is a C++ library for generating ...

Kotlin is one of two official languages used in Android development and is Google’s preferred choice when it comes to the platform. This is good news for wannabe developers, owing to its significantly ...

Over the past decade there has been a growing interest in the development of parallel hardware systems for simulating large-scale networks of spiking neurons. Compared to other highly-parallel systems ...

Our data science expert continues his exploration of neural network programming, explaining how regularization addresses the problem of model overfitting, caused by network overtraining. Neural ...