A computer chip that thinks like the brain
132 Peterborough Street,
We have all got used to the idea that every year our computers get faster and more powerful, and that our devices get smaller and smaller. But each year it gets more difficult - and more expensive - to continue this process because of fundamental roadblocks to the improvement of the chips that drive our devices. One possible solution to this problem is to build computer chips that are inspired by the structure of the brain.
In this session Simon Brown will discuss his groups work at the University of Canterbury where they have managed to make simple chips, using techniques akin to spray painting, that have nanoscale structures similar to the neurons and synapses in the brain. Because the structures are similar to those in the brain, these 'neuromorphic devices' show promise for computational tasks (like image processing) that the brain is good at, but which even modern supercomputers find difficult. Simon will also provide an overview of other approaches to "neuromorphic computing" and why they might revolutionise the way we do computing.
About The Speaker
Simon Brown is a Professor of Physics at the University of Canterbury and a Principal Investigator of the MacDiarmid Institute for Advanced Materials and Nanotechnology. Simon has been working in the field of nanotechnology for more than 20 years.
After the meeting you will have the chance to network with Simon and peers from the IT industry over some drinks and nibbles.
Please note that this session may be video or audio recorded for viewing by other members at a later date. As it is possible that audience members may be incidentally recorded, please let us know if you specifically want to be excluded and we will ensure you are not shown.