Google reveals algorithms to address AI memory challenges; memory and storage stocks drop

Google (GOOG)(GOOGL) revealed a set of new algorithms today designed to reduce the amount of memory needed to run large language models and vector search engines. Shares of major memory and storage ...

Google PM open-sources Always On Memory Agent, ditching vector databases for LLM-driven persistent memory

Enterprise AI teams are moving beyond single-turn assistants and into systems expected to remember preferences, preserve project context and operate across longer horizons.

Oracle converges the AI data stack to give enterprise agents a single version of truth

Matt Kimball, vice president and principal analyst at Moor Insights and Strategy, told VentureBeat the data layer is where ...
EconoTimes

Google's TurboQuant Algorithm Sends Memory Chip Stocks Tumbling

Major memory chipmakers took a significant hit on Thursday after Google researchers introduced a groundbreaking compression ...
SiliconANGLE

Memory for the machine: How vector databases power the next generation of AI assistants

When Aquant Inc. was looking to build its platform — an artificial intelligence service that supports field technicians and agents teams with an AI-powered copilot to provide personalized ...

Memory stocks slide as Google's new AI efficiency breakthrough may slash data storage needs

Shares of memory and storage-related companies, including Micron Technology Inc MU and SanDisk Corp SNDK, are trading lower ...
SDxCentral

TurboQuant: Did Google just drop a compression algorithm capable of stemming RAMageddon?

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...
InfoQ

Google Cloud Adds Scalable Vector Search to Memorystore for Valkey & Redis Cluster

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

MU, WDC, SNDK fall: Why Google’s TurboQuant is rattling memory stocks

Memory stocks fell Wednesday despite broader technology sector strength, with shares dropping after Google unveiled TurboQuant, a new compression algorithm that could reduce memory requirements for AI ...
Agence France-Presse

KIOXIA Achieves 4.8 Billion High-Dimensional Vector Search Database on a Single Server, with 7.8x Index Build Time Acceleration via GPUs

Kioxia Corporation today announced the successful demonstration of achieving high-dimensional vector search scaling to 4.8 billion vectors on a single server with its open-source KIOXIA AiSAQ™ ...
Computer Weekly

AWS details vector search for Amazon MemoryDB

The latest trends in software development from the Computer Weekly Application Developer Network. This week sees the move to general availability for vector search for Amazon MemoryDB. Amazon MemoryDB ...
Semiconductor Engineering

Optimizing Tester Memory Resources With Pooling Technology

The rapid evolution of semiconductor devices has amplified the demand for advanced automated test equipment (ATE) that can handle increasingly complex test scenarios for logic devices. ATE vector ...