I was scheduled to give a live virtual seminar, streamed to the Transvision conference in Italy on October 23rd. Unfortunately I was not able to deliver the presentation due to technical problems at the conference venue.
But the good news is, I will be giving the talk this weekend instead!
Here is the abstract (slightly updated as the talk will be a little longer than originally planned)
Thinking about the hardware of thinking:
Can disruptive technologies help us achieve uploading?
Teleplace, 28th November 2010
10am PST (1pm EST, 6pm UK, 7pm continental EU).
We are surrounded by devices that rely on general purpose silicon processors, which are mostly very similar in terms of their design. But is this the only possibility? As we begin to run larger and more brain-like emulations, will our current methods of simulating neural networks be enough, even in principle? Why does the brain, with 100 billion neurons, consume less than 30W of power, whilst our attempts to simulate tens of thousands of neurons (for example in the blue brain project) consumes tens of KW? As we wish to run computations faster and more efficiently, we might we need to consider if the design of the hardware that we all take for granted is optimal. In this presentation I will discuss the recent return to a focus upon co-design – that is, designing specialized software algorithms running on specialized hardware, and how this approach may help us create much more powerful applications in the future. As an example, I will discuss some possible ways of running AI algorithms on novel forms of computer hardware, such as superconducting quantum computing processors. These behave entirely differently to our current silicon chips, and help to emphasize just how important disruptive technologies may be to our attempts to build intelligent machines.
Here is a link to the Teleplace announcement.
Hope to see you there!