会议信息
ICBSBT 2022: International Conference on Bio-Science and Bio-Technology
https://stemconferences.com/icbsbt/index.html
截稿日期:
2022-05-04
通知日期:
会议日期:
2022-06-13
会议地点:
Macau, China
届数:
5
浏览: 3439   关注: 0   参加: 0

征稿
International Conference on Bio-Science and Bio-Technology 2022 (ICBSBT 2022) will be the most comprehensive conference focused on the various aspects of advances in Bio-Science and Bio-Technology. Our Conference provides a chance for academic and industry professionals to discuss recent progress in the area of Bio-Science and Bio-Technology.

The goal of this conference is to bring together the researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects Bio-Science and Bio-Technology.

All papers accepted and registered will be included in STEM Proceedings and selected papers will be included in SCOPUS and EI journals.

Topics of Conference

The main topics include but will not be limited to (Excellent surveying works in these areas are welcome, too.)

·         Hardware meeting Biology
·         Mathematics meeting Anatomy
·         Computing Evolution and Origin of Disease
·         Computing the Living System
·         Modelling the Cell
·         Biologically Inspired Computation
·         Computing Learning or Behaviour
·         Study of Intelligence
·         Architecture of Brain and Mind
·         Definition of Intelligence: requirement to manipulate the environment; creativity; common sense.
·         Computational Intelligence and Intelligent Systems
·         Molecular Biology Drug Discovery and Evolution
·         Linguistics and Genetics: parallels between languages and chemistry and what discoveries can these reveals.
·         The C value enigma: new algorithms or tactics that may discover the putative function of DNA and of our cellular molecular machinery.
·         Can cybernetic principles and Shannon laws help Molecular Biology?
·         Complexity threshold in Genomics: measures to discover what is the complexity beyond which it becomes reasonable to apply Occam's Razor.
·         Macro and Micro Evolution: what impact has "species as the individual".
·         Modelling approaches: empirical science; reductionism and objections to reductionism; complex systems theory and emergence; taxonomic analysis; the role of analogy in discoveries; chance discovery.
·         Cladistics: can we define mathematical existence and uniqueness; can we set any bounds on past and future evolution.
·         Revealing experimental techniques.
·         Challenges in Biometrics:
·         Beyond biostatistics. Can we reverse engineer and refine recognition algorithms from vast amounts of data using AI and "white-box" analysis?
·         Presentational issues and social guarantees.
·         Interaction; Communication and Databases:
·         Context Databases: capturing context; feelings; hidden or intended meaning in databases.
·         Socio-technical: design and usability challenges in the interaction between humans and their personal computational systems.
·         Bio Interaction: Interaction Technology between BioSystems and Machines.
·         Medical records and knowledge accumulation: where to place and how to ensure their integrity.
·         Research on Learning, and Predicting Social Behaviour or Culture
·         How do we learn most effectively? Which situations are learned best by means of simple mental exercises; or by playing Pac-man; and which require immersion in realistic virtual reality games?
·         "Composability" problem: in a quickly put together coalition each partner needs to guess the likely culture and behaviour of the other partner, what is the best strategy for doing this?
·         Psychology of human and machine
·         Instincts, goal setting, emotions and machine intelligence.
·         Plausible new devices to improve human life: e.g. fusion of wearable sensors and natural language processing for personal use in pattern matching during daily activities.
·         Forgotten technologies: resurrecting useful techniques lost in time.
最后更新 Dou Sun 在 2021-09-21
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