Nvidia shrinks LLM memory 20x without changing model weights

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.
IEEE

Sidelobes-Free Wavelet-Based Chirp Compression for Ultrasound Imaging

Abstract: Chirp-coded excitation improves signal-to-noise ratio in ultrasound imaging, but conventional matched filtering introduces high sidelobes that degrade image quality. Alternatives such as ...
IEEE

Data Reduction and Signal Fidelity in Sparse ECG Compression Algorithms: A Comprehensive Study

Abstract: This study explores and examines the different techniques of sparse compression algorithms for the Electrocardiogram(ECG) signals, By improving their performance in data reduction and ...