The 10th International Conference on Bio-Science and Bio-Technology (ICBSBT 2027) explores the intersection of bio-science, bio-technology, and computational methods, focusing on topics like molecular biology, artificial intelligence, and the study of intelligence and evolution.
Key Topics
- Hardware Meeting Biology
- Computing Evolution and Origin of Disease
- Mathematics Meeting Anatomy
- Modelling the Cell
- Computing the Living System
- Computing Learning or Behaviour
- Biologically Inspired Computation
- Architecture of Brain and Mind
- Study of Intelligence
- Computational Intelligence and Intelligent Systems
- Definition of Intelligence: requirement to manipulate the environment; creativity; common sense.
- Linguistics and Genetics: parallels between languages and chemistry and what discoveries can these reveal.
- Molecular Biology Drug Discovery and Evolution
- Can cybernetic principles and Shannon laws help Molecular Biology?
- The C value enigma: new algorithms or tactics that may discover putative function of DNA and of our cellular molecular machinery.
- Macro and Micro Evolution: what impact has "species as the individual".
- Complexity threshold in Genomics: measures to discover what is the complexity beyond which it becomes reasonable to apply Occam`s Razor.
- Cladistics : can we define mathematical existence and uniqueness; can we set any bounds on past and future evolution.
- Modelling approaches: empirical science; reductionism and objections to reductionism; complex systems theory and emergence; taxonomic analysis; role of analogy in discoveries; chance discovery.
- Challenges in Biometrics
- Revealing experimental techniques
- Presentational issues and social guarantees.
- Beyond Biostatistics. Can we reverse engineer and refine recognition algorithms from vast amounts of data using AI and "white-box" analysis?
- Context Databases: capturing context; feelings; hidden or intended meaning in databases
- Interaction; Communication and Databases
- Bio Interaction: Interaction Technology between Bio Systems and Machines.
- Socio-technical: design and usability challenges in the interaction between humans and their personal computational systems.
- Research on Learning, and Predicting Social Behaviour or Culture
- Medical records and knowledge accumulation: where to place and how to ensure their integrity.
- "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?
- 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?
- Instincts, goal setting, emotions and machine intelligence
- Psychology of human and machine
- Forgotten technologies: resurrecting useful techniques lost in time
- 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.
