LatticeQuant E₈ Lattice Quantization with Entropy Coding for LLM KV Cache Compression LatticeQuant is a research framework for KV cache compression in large language models, combining lattice ...
Service providers must optimize three compression variables simultaneously: video quality, bitrate efficiency/processing power and latency ...
Researchers from Zhejiang University and their collaborators have developed Qjump, a hybrid quantum-classical algorithm for ...
Neural encoding is the study of how neurons represent information with electrical activity (action potentials) at the level of individual cells or in networks of neurons. Studies of neural encoding ...
Abstract: This article reports a 40-GS/s 8-bit time-interleaved (TI) time-domain (TD) gated-ring-oscillator analog-to-digital converter (GRO-ADC). An interleaving number of 32 is achieved with a ...
TIOBE Index for April 2026: Top 10 Most Popular Programming Languages Your email has been sent Python remains on top despite another dip; C gains ground in second place, and April keeps the same top ...
In this Tools of the Trade article, Mariani (Bulyk Lab) describes the development of PIONEAR-Seq, a method designed to explore how genome composition influences transcription factor binding, ...
This project implements a custom entropy encoding and decoding pipeline optimized for 3D Gaussian Splatting (3DGS) data. It utilizes a block-adaptive rANS (Range Asymmetric Numeral Systems) coder to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results