Tagged articles

Memory Caching

3 articles · Page 1 of 1

Jun 18, 2026 · Artificial Intelligence

Weekly AI Paper Digest: D4RT 300× Faster 4D Reconstruction, SAI Theory Challenges AGI, and More

This week’s AI paper roundup covers DeepMind’s D4RT framework that accelerates dynamic 4D reconstruction by up to 300×, a Columbia‑NYU proposal of Superhuman Adaptable Intelligence that questions AGI, MIT‑UW findings on chatbot delusional spiraling, security risks of autonomous agents, a new ARA protocol for executable research artifacts, a vision of AI‑driven software engineering, and a memory‑caching approach that expands RNN capacity while reducing complexity.

AI safetyArtificial IntelligenceD4RT

0 likes · 11 min read

Weekly AI Paper Digest: D4RT 300× Faster 4D Reconstruction, SAI Theory Challenges AGI, and More

Machine Heart

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

0 likes · 7 min read

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 Cachingbroker restart

0 likes · 22 min read

Optimizing Broker Restarts and Minimizing File Reads in EQueue