[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]

VIDEO - Suzanne Gildert on Thinking about the hardware of thinking in Teleplace

http://telexlr8.wordpress.com/2010/11/29/suzanne-gildert-on-thinking-about-the-hardware-of-thinking-can-disruptive-technologies-help-us-achieve-uploading-teleplace-28th-november-2010/

On Sat, Nov 27, 2010 at 8:00 PM, Giulio Prisco <giulio at gmail.com> wrote:
> 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,
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>> e-learning courses, and social events… with full immersion
>> telepresence, but without leaving home.
>>
>