Achieving autonomous driving safely requires near endless hours of training software on every situation that could possibly arise before putting a vehicle on the road. Historically, autonomy companies ...

Hammerspace Inc. is revolutionizing data storage by doing the formerly impossible: unifying data through a parallel NFS, or network file system, architecture. The technology has a lot of potential in ...

Available now in public preview on Zilliz Cloud, Vector Lakebase keeps production vector search at its core and adds shared lake-native storage and on-demand compute - bringing real-time serving, ...

In an era of rapid technological advancements, the ability to extract meaningful insights from vast amounts of information has become paramount. Arguably the most controversial upgrade is artificial ...

Parallel MRI allows the user to extract extra spatial information, which leads to a shorter acquisition time, higher resolution, extended field-of-view, and crisper image quality Today a whole body ...

Hammerspace, the company orchestrating the next data cycle, and Parallel Works, provider of the ACTIVATE control plane for AI and HPC resources, are collaborating on a unified solution for compute and ...

This course is designed for scientists, engineers, students, and professionals looking to develop efficient solutions for high-performance and distributed computing systems. It focuses on parallel ...

Hadoop, an open source framework that enables distributed computing, has changed the way we deal with big data. Parallel processing with this set of tools can improve performance several times over.

New Linux Foundation and first open-source metadata server advances parallel file system design with an elastic architecture ...

Validates the performance of AI infrastructure by emulating real-world workloads Evaluates how new algorithms, components, and protocols improve the performance of AI training Adjusts and optimizes ...