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[j03]
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Subject:Silicon Brain
Time:10:27 pm
http://www.technologyreview.com/computing/22339/?a=f


An international team of scientists in Europe has created a silicon chip designed to function like a human brain. With 200,000 neurons linked up by 50 million synaptic connections, the chip is able to mimic the brain's ability to learn more closely than any other machine.

Although the chip has a fraction of the number of neurons or connections found in a brain, its design allows it to be scaled up, says Karlheinz Meier, a physicist at Heidelberg University, in Germany, who has coordinated the Fast Analog Computing with Emergent Transient States project, or FACETS.

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[j03]
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Subject:Wolfram Alpha - Computational Knowledge System
Time:08:52 pm


http://www.wolframalpha.com/



Mathematica has been a great success in very broadly handling all kinds of formal technical systems and knowledge.

But what about everything else? What about all other systematic knowledge? All the methods and models, and data, that exists?

Fifty years ago, when computers were young, people assumed that they’d quickly be able to handle all these kinds of things.

And that one would be able to ask a computer any factual question, and have it compute the answer.

But it didn’t work out that way. Computers have been able to do many remarkable and unexpected things. But not that.

I’d always thought, though, that eventually it should be possible. And a few years ago, I realized that I was finally in a position to try to do it.

I had two crucial ingredients: Mathematica and NKS. With Mathematica, I had a symbolic language to represent anything—as well as the algorithmic power to do any kind of computation. And with NKS, I had a paradigm for understanding how all sorts of complexity could arise from simple rules.

But what about all the actual knowledge that we as humans have accumulated?

A lot of it is now on the web—in billions of pages of text. And with search engines, we can very efficiently search for specific terms and phrases in that text.

But we can’t compute from that. And in effect, we can only answer questions that have been literally asked before. We can look things up, but we can’t figure anything new out.

So how can we deal with that? Well, some people have thought the way forward must be to somehow automatically understand the natural language that exists on the web. Perhaps getting the web semantically tagged to make that easier.

But armed with Mathematica and NKS I realized there’s another way: explicitly implement methods and models, as algorithms, and explicitly curate all data so that it is immediately computable.



http://blog.wolfram.com/2009/03/05/wolframalpha-is-coming/



Singularity Now indeed.

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Subject:there will never be artificial intelligence
Time:11:32 am
If there were going to be artificial intelligence, there would have been already. It would have counted when they started to translate documents between languages, or drive cars, or play chess. But it doesn't count, because that's not a very good translation, because it's not legal in public, and because playing chess doesn't actually require any intelligence anyway, after all, we decided, respectively.

So apparently instead of ever having artificial intelligences, we are just going to go on having very dumb stupid brainless computers running a simple, mechanical toy of a program called "run our whole society and make all of our decisions for us." It's another day in paradise, what independent rational thoughts does the subservient mindless algorithm say we should have today??
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[j03]
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Subject:Singularity University
Time:05:15 pm
http://singularity-university.org/


The singularity must be closer than I thought...
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[j03]
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Time:12:05 am
And if this isn't a sign of impending singularity, I don't know what is...


Liposuctioning unwanted blubber out of pampered Los Angelenos may not seem like a dream job, but it has its perks. Free fuel is one of them.


http://www.forbes.com/technology/2008/12/21/fat-fuel-biodiesel-tech-sciences-cz_pcb_1222fatfuel.html
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[j03]
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Time:11:46 pm
The fuzzy singularity: http://www.asofterworld.com/index.php?id=386

Courtesy of known nerd untoward

Also this:


Most autonomous robots today may be good at a specific, pre-programmed trick or two, like acting like a cute dog or walking up the stairs, but they can't do anything else. The Gundersons promise that they can fix that, that their robot will be able to accept new commands, reason out ways to complete them, and then go out and do them. Want the robot to dust the bookshelves? No problem. Want it to set the table? Easy. Want Basil to fetch a beer? Well, that's exactly what the Gundersons hope he'll do today.


http://www.westword.com/2008-12-18/news/hed-the-gundersons-get-us-ready-for-basil-the-robot-of-our-dreams/1
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Subject:Regulated TMC
Time:03:59 am
Regulated TMC (Integrated Total Market Capitalization of the Fund Market)

I Constant TMC

1. TMC0 is TMC as it were before the first market day of the year started.
2. TMCi is TMC at the end of the i-th day.
3. In the Constant TMC model, TMC at the start of each market day is set to the TMC0 value.

All the prices are normalized to the value, multiplied by the factor
k = TMC0/TMC(i-1)

This model is stable, from the psychologic point of view. To say, there is no reason to take your money out of such a fund market entirely, if you don't actually need them elsewhere. At plague, natural disaster, war - it's stable, in this particular sense of the word.

Nevertheless, Constant TMC fund market cases deflation and recession. In the best case - stagnation.


II Inflated TMC

Read more...Collapse )

The Inflated TMC model is a stable model, lacking the major failures of the Constant TMC model.


http://community.livejournal.com/web_order/4521.html
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[j03]
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Subject:When can *I* get one of these?
Time:10:29 pm
I ignored this all day, just wasn't interested or whatever. But it kept popping up on blogs so I watched the video.



http://gizmodo.com/5104917/

OMG.
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Subject:Technological singularity discussions: futurism, Moore's Law, and machine learning
Time:04:17 pm
Current Mood:thoughtfulthoughtful
(Cross posted to tessier_ashpool and singularity_now.)

Recently I wrote a few commentaries on "singularity science" and the research on computer architecture and intelligent systems that attends it. Here are the links:

Comments are welcome!

--
Banazir
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Subject:Future of Humanity Institute releases Whole Brain Emulation Roadmap
Time:05:34 pm
From the website of University of Oxford's Future of Humanity Institute (headed by WTA co-founder Nick Bostrom):

Whole Brain Emulation Roadmap Now Available

Whole brain emulation (WBE) is the possible future one-to-one modelling of the function of the human brain. It represents a formidable engineering and research problem, yet one which appears to have a well-defined goal and could, it would seem, be achieved by extrapolations of current technology. Since the implications of successful WBE are potentially very large the Future of Humanity Institute hosted a workshop in Oxford on 26-27 May, 2007. Invited experts from areas such as computational neuroscience, brain-scanning technology, computing, and neurobiology presented their findings and discussed the possibilities, problems and milestones that would have to be reached before WBE becomes feasible. The result of the workshop is the following roadmap.


PDF, 130 pages (109 if you omit the references and the glossary). Download here.
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The Singularity
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