Connection Science

Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.

Connection Science 是一本跨学科期刊，致力于探索分析科学和综合科学的融合，包括神经科学、计算建模、人工智能、机器学习、深度学习、数据库、大数据、量子计算、区块链、零知识、物联网 、网络安全以及并行和分布式计算。 重点关注计算机科学、应用程序和系统级计算主题方面的联结、概率论、动力学或进化方法所产生的文章，这些方法旨在理解科学和工程中的模型。