Uber AI has open-sourced Fiber, a new library which aims to empower users in implementing large-scale machine learning computation on computer clusters. The main objectives of the library are to ...

Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

Training a machine learning algorithm to accurately solve complex problems requires large amounts of data. Previous articles in this series discussed an exascale-capable machine learning algorithm and ...

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.

Over the last couple of decades, those looking for a cluster management platform faced no shortage of choices. However, large-scale clusters are being asked to operate in different ways, namely by ...

The research, "TF-Replicator: Distributed Machine Learning For Researchers," is posted on the arXiv pre-print server, and there's also a blog post by DeepMind.

By integrating LoRa technology with distributed machine learning, the network connectivity of green intelligent transportation systems can be optimized.

Antimicrobial resistance is a growing health crisis that could lead to millions of deaths by 2050, according to the World Health Organization. Antibiotics are critical for human health, but many ...

The company also argues that this allows it to train large models that are bigger than the individual GPU memory capacity of a single machine. There’s a financial aspect to this, too, because ...