Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...
TechCrunch

Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
Security Boulevard

Why Your Encrypted Data From 2019 Is Already Compromised: The Quantum Time Bomb

A major financial institution encrypted a merger agreement in 2019. The encryption was state-of-the-art RSA-2048. The key was properly managed. The implementation followed best practices. Security ...
IEEE

An Efficient Hybrid Cache Replacement Policy for Cloud Block Storage

Abstract: With the popularity of cloud services, Cloud Block Storage (CBS) systems have been widely deployed by cloud providers. Cloud cache plays a vital role in maintaining high and stable ...
IEEE

LiC: Low-Cost Cache Replacement Algorithm for All Cache Levels

Abstract: Modern processors use caches to reduce memory access time. However, their limited size leads to frequent misses, requiring an efficient replacement policy. The Least Recently Used (LRU) ...