A recent report explores how new non-volatile memories will play in monetizing AI, leading to significant revenue growth for ...

Micron's high-bandwidth memory chips are embedded in the world's best artificial intelligence (AI) chips, produced by Nvidia and Advanced Micro Devices. Its data center revenue doubled during its most ...

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 ...

“Supporting startups like ANAFLASH reflects Samsung Electronics’ commitment to expanding the versatile silicon manufacturing ecosystem with innovative technologies,” said Margaret Han, Executive VP ...

LWMalloc is an ultra-lightweight dynamic memory allocator designed for embedded systems that is said to outperform ptmalloc used in Glibc, achieving up to 53% faster execution time and 23% lower ...

Artificial Intelligence (AI) and Machine Learning (ML) applications are driving increased demand for high-performance, low-power memory solutions across consumer, medical, and industrial markets.

TOKYO--(BUSINESS WIRE)--Kioxia Corporation, a world leader in memory solutions, today announced that it has begun sampling (1) new Universal Flash Storage (2) (UFS) Ver. 4.1 embedded memory devices ...

Qdrant, a leading provider of high-performance, open-source vector search, is offering a private beta of Qdrant Edge, a lightweight, embedded vector search engine designed for AI systems on devices ...

Declarative traversal syntax (match_node_path(...)) Label/type filtering, limit/offset, result projection Unified API for both nodes and relationships Robust CLI Only pure-Python embedded document ...

Prithvi is an in-memory key-value database built from scratch in Java, without relying on external frameworks. It provides basic data storage operations, persistence to disk, and essential features ...