The authors are Sangyun Lee, Sean McLeish, Tom Goldstein, and Giulia Fanti, with v1 released on May 25, 2026, and v2 on May 27, 2026. Roughly speaking, this research investigated whether giving a ...

In the era of pervasive digital connectivity, image encryption has become a critical necessity for securing sensitive visual data against cyber threats, unauthorized access, and data breaches. Unlike ...

The PyCX project aims to develop an online repository of simple, crude, yet easy-to-understand Python sample codes for dynamic complex systems modeling and simulation, including iterative maps, ...

Simulation approach involves the use of computers and mathematical models to simulate real systems for experimentation or tests that evaluate the behavior and performance of a system or predict the ...

Traditional Denoising Diffusion Models (DDMs) with UNet backbones are over-parameterized, compromising their effectiveness on limited hardware and in processing gigapixel images. To address this ...

Researchers and enthusiasts have been fascinated by the challenge of reverse-engineering complex behaviors that emerge from simple rules in cellular automata for decades. Traditionally, this field ...

Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States Department of Materials Science and Engineering, University of California, Berkeley, ...

This repository contains the code for our Nature Materials 2024 paper: Investigating Chiral Morphogenesis of Gold using Generative Cellular Automata. The code provides scripts for training Generative ...

If you want to work in data science or software engineering, Python is an excellent first language to learn. So, where do you start? To help you decide, we've produced a list of Python free courses ...

Stomata are variable aperture pores that allow carbon dioxide to enter a plant leaf to participate in photosynthesis, while simultaneously controlling water loss due to evaporation. This paper shows ...

Department of Computer Science, University of York, York, UK. Kolmogorov complexity is a unique formalisation of complexity which quantifies “information” from an algorithmic point of view [1] and has ...