[ExI] Suzanne Gildert on Thinking about the hardware of thinking: Can disruptive technologies help us achieve uploading?, Teleplace, 28th November 2010, 10am PST

Giulio Prisco giulio at gmail.com
Sat Nov 27 19:00:40 UTC 2010


REMINDER Suzanne Gildert on Thinking about the hardware of thinking
tomorrow in teleplace

http://telexlr8.wordpress.com/2010/11/22/suzanne-gildert-on-thinking-about-the-hardware-of-thinking-can-disruptive-technologies-help-us-achieve-uploading-teleplace-28th-november-2010-10am-pst/

On Mon, Nov 22, 2010 at 5:10 PM, Giulio Prisco <giulio at gmail.com> wrote:
> Suzanne Gildert will give a talk in Teleplace on “Thinking about the
> hardware of thinking: Can disruptive technologies help us achieve
> uploading?” on November 28, 2010, at 10am PST (1pm EST, 6pm UK, 7pm
> continental EU).
>
> http://telexlr8.wordpress.com/2010/11/22/suzanne-gildert-on-thinking-about-the-hardware-of-thinking-can-disruptive-technologies-help-us-achieve-uploading-teleplace-28th-november-2010-10am-pst/
>
> This is a revised version of Suzanne’s talk at TransVision 2010, also
> inspired by her article on “Building more intelligent machines: Can
> ‘co-design’ help?” (PDF). See also Suzanne’s previous Teleplace talk
> on “Quantum Computing: Separating Hope from Hype“.
>
> Thinking about the hardware of thinking: Can disruptive technologies
> help us achieve uploading?
>
> S. Gildert, Teleplace, 28th November 2010
>
> 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.
>
> Event on Facebook
>
> Dr. Suzanne Gildert is currently working as an Experimental Physicist
> at D-Wave Systems, Inc. She is involved in the design and testing of
> large scale superconducting processors for Quantum Computing
> Applications. Suzanne obtained her PhD and MSci degree from The
> University of Birmingham UK, focusing on the areas of experimental
> quantum device physics and superconductivity.
>
> teleXLR8 is a telepresence community for cultural acceleration. We
> produce online events, featuring first class content and speakers,
> with the best system for e-learning and collaboration in an online 3D
> environment: Teleplace. Join teleXLR8 to participate in online talks,
> seminars, round tables, workshops, debates, full conferences,
> e-learning courses, and social events… with full immersion
> telepresence, but without leaving home.
>




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