Abstract: In-memory computing is an emerging computing paradigm that overcomes the limitations of exiting Von-Neumann computing architectures such as the memory-wall bottleneck. In such paradigm, the ...

Abstract: Compared to traditional relational databases (RDBMS), specialized graph databases (GDBs) can efficiently store and process graph data in both time and space. Hence, domains like social ...

Every conversation you have with an AI — every decision, every debugging session, every architecture debate — disappears when the session ends. Six months of work, gone. You start over every time.