The 16th International Conference on Bio-inspired
Computing: Theories and Applications
Unlocking the Power and Impact of BIC in Artificial Intelligence
Bio-inspired computing is a field of study that abstracts computing ideas (data structures, operations with data, ways to control operations, computing models, artificial intelligence, multisource data driven and analysis, etc.) from the living phenomena or biological systems such as cells, tissue, the brain, neural network, immune system, ant colony, and evolution, etc. The areas of bio-inspired computing include Neural Networks, Brain-inspired Computing, Neuromorphic Computing and Architectures, Cellular Automata and Cellular Neural Networks, Evolutionary Computing, Swarm Intelligence, Fuzzy Logic and Systems, DNA and Molecular Computing, Membrane Computing, Artificial Intelligence and its Application in other disciplines such as machine learning, deep learning, image processing, computer science, and cybernetics, etc.
The 16th International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA 2021) will be held on November 12-14, 2021, in Taiyuan, China. BIC-TA 2021 aims to provide a high-level international forum for researchers working in the field of bio-inspired computing to present their recent study results and to exchange ideas. The conference invites researchers to contribute high-quality original research papers in any aspect of bio-inspired computing, especially papers showing the power and impact of bio-inspired computing in artificial intelligence.
As with the past BIC-TA conferences, accepted papers will be published in Communications in Computer and Information Science (CCIS) by Springer. CCIS is abstracted/indexed in EI-Compendex, ISI Proceedings, etc. High quality papers presented at the conference will be recommended for possible publication in the following journals, subject to regular journal peer review and adhere to all journal policies.
- Journal of Membrane Computing (ESCI)
- Quantitative Biology (ESCI)
- IEEE SMC Section in IEEE Access (SCI)
- Mathematics，Special Issue “Biologically Inspired Computing” (SCI)
- Special issue on Foundations: Nature-Inspired Computing (Google Scholar)
- Frontiers in Bioengineering and Biotechnology (SCI)
- CMES-Computer Modeling in Engineering & Sciences, Special Issue “Bio-inspired Computer Modelling: Theories and Applications in Engineering and Sciences” (SCI)
The link to the BIC-TA 2021 proceedings on SpringerLink is: