Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

Bitcask-style architecture on top of fsys: one fsys-journal-backed append-only log, sharded in-memory hash index, lock-free reads + lock-free writes via fsys's atomic LSN reservation. fsys handles the ...

When we watch videos or ask AI questions, enormous amounts of data are constantly moving inside computers. In particular, data centers that support AI must process and transfer vast amounts of data at ...

IBASE Technology MBB1002 eATX (Extended ATX) motherboard is powered by AMD EPYC Embedded 8004 series processors and takes up to 576GB DDR5-4800 ECC memory for next-generation edge AI and ...

As AI, automotive, and data centers continue to scale exponentially, one part of the chip has quietly become a bottleneck: embedded memory. Modern designs now dedicate more than half of their silicon ...

An experimental embedded key-value database written in Zig, built around page-based storage, sorted leaf-page indexing, WAL record logging, and a small transaction API. The metadata format now tracks ...

Abstract: This article presents, for the first time, a sequential logic-in-memory technique using embedded flash (eFlash) memory to address the integration challenges of previous methods that relied ...

TOKYO--(BUSINESS WIRE)--Kioxia Corporation, a world leader in memory solutions, today announced that it has begun sampling new Universal Flash Storage 1 (UFS) Ver. 4.1 embedded memory devices with ...

If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: with firewalls, audits, and access privileges. The pace at which large ...