‘Wet’ computing systems to boost processing power
To news overviewA new kind of information processing technology inspired by chemical processes in living systems is being developed by researchers at the University of Southampton.
Dr Maurits de Planque and Dr Klaus-Peter Zauner at the University’s
School of Electronics and Computer Science (ECS) are working on a
project which has just received €1.8 million from the European Union’s
Future and Emerging Technologies (FET) Proactive Initiatives, which
recognises ground-breaking work which has already demonstrated
important potential.
The researchers, Dr de Planque, a biochemist, and Dr Zauner, a computer
scientist, will adapt brain processes to a 'wet' information processing
scenario by setting up chemicals in a tube which behave like the
transistors in a computer chip
“What we are developing here is a very crude, minimal liquid brain and
the final computer will be ‘wet’ just like our brain,” said Dr Zauner.
“People realise now that the best information processes we have are in
our heads and as we are increasingly finding that silicon has its
limitations in terms of information processing, we need to explore
other approaches, which is exactly what we are doing here.”
The project, entitled Artificial Wet Neuronal Networks from
Compartmentalised Excitable Chemical Material, which is being
co-ordinated by Friedrich Schiller University Jena with other project
partners, the University of the West of England, Bristol and the
Institute of Physical Chemistry, Polish Academy of Sciences, Warsaw,
will run for three years and involves three complementary
objectives.
The first is to engineer lipid-coated water droplets, inspired by
biological cells, containing an excitable chemical medium and then to
connect the droplets into networks in which they can communicate
through chemical signals. The second objective is to design
information-processing architectures based on the droplets and to
demonstrate purposeful information processing in droplet architectures.
The third objective is to establish and explore the potential and
limitations of droplet architectures.
“Our system will copy some key features of neuronal pathways in the
brain and will be capable of excitation, self-repair and
self-assembly,” said Dr de Planque.
