Discover how object storage with flat IDs and rich metadata delivers cloud‑scale performance and cheap unstructured data parking compared to traditional file systems for modern workloads. Pixabay, ...

Abstract: Incremental object detection (IOD) aims to train an object detector on non-stationary data streams without forgetting previous knowledge. Prevalent replay-based methods keep a buffer ...

Abstract: As the contradiction between high-resolution remote sensing (RS) image acquisition and limited storage space or bandwidth becomes increasingly prominent, the importance of prioritizing the ...

The JavaScript innovation train is really picking up momentum lately, driven—as always—by the creativity of the JavaScript developer community. The emerging local-first SQL datastores crystalize ideas ...

A new association will make a renewed push for a viable community solar and storage program in California. Californians for Local, Affordable Solar and Storage (CLASS) will work to expand access to ...

Monitors local file changes (including all subdirectories) and triggers real-time synchronization to remote object storage. Deletions on the local filesystem are also synced to the remote storage (if ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

When it comes to deploying AI workloads, the pressure to keep up with data-hungry models has exposed a growing weakness in storage architecture. CoreWeave’s AI Object Storage directly addresses this ...

Storage for Veeam company Object First Inc. today announced the launch of Ootbi Mini, a compact immutable storage appliance designed for remote and branch offices, edge environments and small ...

Large-scale distributed storage systems, such as object stores, usually apply hashing-based placement and lookup methods to achieve scalability and resource efficiency. However, when object locations ...