Google Research — 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

IT Services Circle

Mar 31, 2026 · Artificial Intelligence

How Google’s TurboQuant Cuts KV‑Cache Memory by 83% and Boosts LLM Speed

Google’s newly released TurboQuant algorithm compresses KV‑Cache from 16‑bit to 3‑bit, slashing memory usage to one‑sixth while preserving zero accuracy loss, dramatically accelerating large‑language‑model inference on GPUs and reshaping the memory market.

AI inferenceGoogle ResearchKV cache

0 likes · 7 min read

How Google’s TurboQuant Cuts KV‑Cache Memory by 83% and Boosts LLM Speed