Memory Caching — 2 Technical Articles

Apr 17, 2026 · Artificial Intelligence

Combining Transformers and RNNs: Google’s Memory Caching Unlocks Ultra‑Long Context

Google Research introduces Memory Caching (MC), a technique that gives RNNs growing memory capacity, bridging the gap with Transformers to enable ultra‑long context processing while reducing memory demands, and demonstrates its effectiveness through extensive language‑modeling and recall experiments.

AI ArchitectureGoogle ResearchMemory Caching

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Combining Transformers and RNNs: Google’s Memory Caching Unlocks Ultra‑Long Context

21CTO

Nov 13, 2015 · Backend Development

Optimizing Broker Restarts and Minimizing File Reads in EQueue

This article explains how EQueue handles broker restarts by scanning and initializing chunk files, introduces memory‑based caching strategies to avoid frequent file reads, and outlines message deletion, querying, consumer offset storage, and queue management techniques for high‑performance backend systems.

EQueueMemory CachingMessage Queue

0 likes · 22 min read

Optimizing Broker Restarts and Minimizing File Reads in EQueue