The 15th 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 15th International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA 2020) will be held on October 23-25, 2020, in Qingdao, China. BIC-TA 2020 is the fifteenth annual event in the high-reputation BIC-TA series. BIC-TA 2020 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. Extended versions of some selected papers will be invited for special issues in several journals in the field, including potential journals
Information Science，中科院二区，SCI, IF：5.91
Computers & Electrical Engineering, 中科院三区, IF 2.663
Combinatorial Chemistry & High Throughput Screening, 中科院四区, IF 1.195
Quantitative Biology (ESCI)
International of Adaptive and Inovative Systems (ESCI)