A self-driving car moving through busy streets must respond within milliseconds. Even a 200-millisecond delay while sending ...

DualBird Inc., a startup using customizable field-programmable gate arrays to speed up data processing workloads, today announced that it has raised $25 million in funding.

Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems. Working with big data can be ...

A breakthrough development in photonic-electronic hardware could significantly boost processing power for AI and machine learning applications. The approach uses multiple radio frequencies to encode ...

Data processing units (DPUs) have emerged as an important deployment option for datacentres that run heavy data-centric workloads such as artificial intelligence (AI) and analytics processing, and to ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Driven by relentless growth in big data storage and analytics, cloud-based AI use cases and ...

“Many modern workloads such as neural network inference and graph processing are fundamentally memory-bound. For such workloads, data movement between memory and CPU cores imposes a significant ...

Computing applications have long used floating point numerical processing, including many in CPU architectures, which are mathematically superior and support wide dynamic ranges. Computing ...

As artificial intelligence becomes more powerful and widespread, so does the environmental cost of running it. Behind every ...

A team of researchers in Canada has developed the Jericho Open Resistive Data Logger—an open-access photovoltaic (PV) monitoring platform that integrates data acquisition and processing hardware, a ...