Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.

Internet of Things (IoT) and Artificial Intelligence (AI) have caused a massive increase in data generation — and along with it, a need to process data faster and more efficiently. Dubbed a “tsunami ...

Deep Learning is probably the most popular form of machine learning at this time. Although not every problem boils down to a deep learning model, in domains such as computer vision and natural ...

A new technical paper titled “StruM: Structured Mixed Precision for Efficient Deep Learning Hardware Codesign” was published by Intel. “In this paper, we propose StruM, a novel structured ...

While the disruptive nature of AI is clearly seen across industries, there are still many challenges, including increasing workloads and inherent energy consumption. Given deep learning and big data ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Deep Vision, a company developing an AI accelerator chip and software ...

Developers or those of you interested in learning more about the Deep Learning Accelerator on NVIDIA’s Jetson Orin mini PC will be pleased to know that NVIDIA has published a new article over on its ...