BSBT 2018 - International Conference on Bio-Science and Bio-Technology 2018

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 reveal.
The C value enigma: new algorithms or tactics that may discover 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; 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 Bio Systems 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?
Learned or stochastic difference: predicting the ¡°next time¡± behaviour: will the next event unfold differently because of what we have learned in the previous event? How much of it is non- ergodic?
"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.