Yet for many Database Administrators (DBAs), cloning and refreshing databases using traditional tools like RMAN and Data Pump can be slow, manual, and disruptive to production systems. New AI-powered ...

For example, an agent might use a knowledge graph for task planning or tracking the memory of prior actions taken by other agents, and a vector database for semantic recall. An insurance agent ...

They are primarily used for large sets of distributed data and are particularly effective when dealing with big data and real-time applications. Unlike relational databases, NoSQL ones are ...

KIOXIA America, Inc. is unveiling its new KIOXIA CM9 Series PCIe 5.0 NVMe SSDs, the first enterprise SSDs built with KIOXIA’s 8 th generation BiCS FLASH TLC—based 3D flash memory, which incorporates ...

Graphy showcases Shape Memory Aligner tech at AAO 2025, redefining orthodontics with clinical strength, global reach, and next-gen digital workflows. We are leading the global transformation of ...

Up to eight Arc Pro B60s with a total of 192 GB of graphics memory (distributed across four plug-in cards) will then give AI applications a boost. With appropriate optimizations and adjustments ...

Abstract: Graph convolutional networks (GCNs ... To this end, this paper presents a communication-aware in-memory computing architecture (COIN) for GCN hardware acceleration. Besides accelerating the ...

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We propose MDLoader, a hybrid in-memory data loader for distributed graph neural network training. MDLoader features a model-driven performance estimator that dynamically selects between one-sided and ...