I agree with you my friend on the google part. I would suggest IBM to
be the best in making the human brain anytime.
I don't know what 'intelligence' means to other people, but I will be
happy with the part where one can do the work better than the average
person's ability. Emotional intelligence is important but if my
computer does software development for me with its thinking, then
that's  good enough for me.

Hope that happens in 5 years..Anyone aware  who is trying to build a
huuman-brain simulator besides IBM?

Regards,
Jitesh Dundas

On 5/25/10, Casper Bang <casper.b...@gmail.com> wrote:
> I also studied hypermedia and here 10 years after I have yet to be
> convinced that the theory can map to practice (i.e. bidirectional
> links, annotations etc.) If anyone can bring this forward in practice,
> it has got to be Google. And yet, look at how crappy live translation
> of captions works for YouTube. That part will be particular
> interesting to monitor when GoogleTV launches.
>
> On May 25, 3:17 pm, shainnif ismail <shain...@googlemail.com> wrote:
>> I went to a talk at Edinburgh University many years ago, about
>> Neurolinguistics (http://en.wikipedia.org/wiki/Neurolinguistics)
>>
>> specifically on Semantics, and its use in computer science eg
>> translating human language to code using intelligent programs, mapping
>> concepts rather than words.
>>
>> It remember being very impressed and that was about 1999.
>>
>> shaine
>>
>> On 25 May 2010 13:56, Casper Bang <casper.b...@gmail.com> wrote:
>>
>>
>>
>>
>>
>> > It's an interesting subject for sure, dating back to Plato Vs.
>> > Aristotle. I used to believe futurists like Ray Kurzweil etc. but now
>> > I am not so sure. While we will no doubt continue to simulate larger
>> > and more complex brains, we have yet to properly define intelligence
>> > let alone self-awareness (humans primary driver).
>>
>> > Nature itself does not seem particular intelligent, it relies on crude
>> > trial-n-error (survival-of-the-fittest) and tracer-bullets (mutations)
>> > rather than up-front design. Indeed, modern agile processes looks an
>> > awful lot like a step back to nature.
>>
>> > The fact that you can hire 100 teams to solve a problem* and they will
>> > all get to very different solutions, suggests to me that it makes
>> > little sense to equate computer intelligence and human intelligence.
>> > When all 100 teams start to arrive at the (very near) same solution,
>> > then we may be more ready to define "intelligence".
>>
>> > /Casper
>>
>> > *Not a pure algorithmic problem a la TSP.
>>
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