Electronic Design has curated a series of white papers that help you understand NVIDIA’s 800-V DC power architecture for “AI ...

The data mesh architecture promised to eliminate the inefficiencies and errors of the data lake. What went wrong?

The brain’s function and integrity emerge not only from properties of individual regions, but, more fundamentally, from the intricate web of connections ...

In today’s rapidly evolving tech landscape, centralized architectural decision-making can become a bottleneck to delivery ...

For the past two decades, distributed caches, also known as in-memory data grids, have been used to address such challenges.

Under the Electronic Identification, Authentication and Trust Services (eIDAS) Regulation, EU Member States may, on a voluntary basis, notify and recognise, national electronic identification schemes ...

dSPACE offers a variety of cloud-deployable products. These products require the same basic infrastructure resources, such as VPC, Kubernetes, and S3 buckets. Additionally, for various products, ...

Abstract: Data-driven predictive control (DPC) has been studied and applied in various scenarios. However, the challenge of computational efficiency remains. With the development of cloud computing, ...

Abstract: As the Data Lakes have gained a significant presence in the data world in the previous decade, several main approaches to building Data Lake architectures have been proposed. From the ...

TL;DR: Intel's new Crescent Island GPU, launching in 2026, features the advanced Xe3P architecture and up to 160GB LPDDR5X memory, optimized for power-efficient AI inference workloads in air-cooled ...