Nvidia invests in accelerating the transition from experimental to practical quantum computing via AI-driven quantum error ...

While the market has been conditioned to think of NPUs as the default for AI, that mindset is due for an overhaul.

The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...

The Association for Computing Machinery, today announced the recipients of three prestigious technical awards. This year’s ...

Parallel Works, provider of the ACTIVATE control plane for hybrid multi-cloud computing resources, today announced the launch ...

The field of data science and AI is booming: technology companies are regularly releasing new models, while others are ...

Technological opportunities typically come with a certain amount of risk – and generative AI adoption is no exception ...

Whether you're running one of the best graphics cards made by Nvidia or any entry-level model from several years ago, it'll ...

At its core, most AI systems today use neural networks. These networks are composed of nodes (akin to neurons) connected by ...

Artificial intelligence (AI) is widely used and designed to augment human skills such as data analysis ... different optical frequencies -- for parallel computing -- can be addressed individually ...