IEEE

Harnessing GPU Acceleration for Exact DNA Sequence Matching via the KMP Algorithm

Abstract: Identifying recurrent patterns and mutations in the DNA is essential for helping clinicians formulate faster diagnoses and develop personalized treatments. Here, exact matching represents a ...
IEEE

Toward Physician-Level Performance in Robot-Assisted Ankle Rehabilitation via Imitation Learning With Empirical and Temporal Adaptation

Abstract: Robot-assisted ankle rehabilitation training imitating physician’s professional techniques is highly important for promoting personalized training and improving clinical outcomes. In this ...
GitHub

Python implementation of the TurboQuant and QJL vector quantization algorithms.

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...
Ars Technica

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...