Abstract: Image compression is of great significance for improving the efficiency of image transmission and storage. In this work, we proposed a scalable in-memory WalshHadamard Transform (WHT) using ...

A fully open-source, recursively verifiable framework for uplifting all intelligences — human and otherwise — via modular, autonomous infrastructure nodes (SEUIBIU) and a distributed, benevolent ...

A computational instantiation of three DLN cognitive stages (Dot → Linear → Network) testing a compression-efficiency thesis: Network cognition is more efficient because it represents shared structure ...

Cybersecurity researchers have disclosed details of a now-patched security flaw impacting Ask Gordon, an artificial intelligence (AI) assistant built into Docker Desktop and the Docker Command-Line ...

Abstract: Both traditional and learning-based hyperspectral image (HSI) compression methods suffer from significant quality loss at high compression ratios. To address this, we propose a low-overhead, ...