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 ...
IEEE

Two-Phase Hybrid Search Algorithm for Time-Dependent Cold Chain Logistics Route Considering Carbon Emission and Traffic Congestion

Abstract: This paper studies the time-dependent cold chain logistics vehicle routing problem considering both traffic congestion and carbon emissions. A cold chain logistics model with time-dependent ...
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 ...
IEEE

Improving Wu-Manber: A Multi-pattern Matching Algorithm

Abstract: The likelihood of shifting text sliding window based on Boyer-Moore SHIFT table at each comparison point heavily affect the efficiency of the Wu-Manber algorithm. This paper introduced a ...