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  • Ranking Alexa Global: # 4,931,727

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    The main IP address: 109.123.73.50,Your server United Kingdom,London ISP:UK2 - Ltd  TLD:org CountryCode:GB

    The description :skip to content home about publications ← older posts neil armstrong posted on 28 august, 2012 by shane “i am, and ever will be, a white-socks, pocket-protector, nerdy engineer” — neil armstrong, 2000...

    This report updates in 14-Jun-2018

Technical data of the vetta.org


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Latitude: 51.508529663086
Longitude: -0.12574000656605
Country: United Kingdom (GB)
City: London
Region: England
ISP: UK2 - Ltd

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mx:MX preference = 0, mail exchanger = mx.vetta.org.cust.a.hostedemail.com.

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skip to content home about publications ← older posts neil armstrong posted on 28 august, 2012 by shane “i am, and ever will be, a white-socks, pocket-protector, nerdy engineer” — neil armstrong, 2000 on the topic of space, i thought this video from the iss was spectacular. flying over the aurora borealis is just magic. posted in uncategorized | 2 comments goodbye 2011, hello 2012 posted on 31 december, 2011 by shane i’ve decided to once again leave my prediction for when human level agi will arrive unchanged. that is, i give it a log-normal distribution with a mean of 2028 and a mode of 2025, under the assumption that nothing crazy happens like a nuclear war. i’d also like to add to this prediction that i expect to see an impressive proto-agi within the next 8 years. by this i mean a system with basic vision, basic sound processing, basic movement control, and basic language abilities, with all of these things being essentially learnt rather than preprogrammed. it will also be able to solve a range of simple problems, including novel ones. posted in uncategorized | 15 comments aiq posted on 16 november, 2011 by shane some of you might remember the talk i gave at the 2010 singularity summit about algorithmic iq, or aiq for short. it was an attempt to convert the theoretical universal intelligence measure into a working practical test of machine intelligence. the results were preliminary, but it seemed to work… it’s now over a year later so i guess some of you are wondering what happened to aiq! i’ve been very busy working on other cool stuff, however joel veness and i have been tinkering with aiq in our spare time. we’re pleased to report that it has continued to perform well, surprising well in fact. there was some trickiness to do with getting it to work efficiently, but that aside, it worked perfectly straight out of the box. we recently wrote a paper on aiq that was accepted to the solomonoff memorial conference. you can get the paper here , the talk slides here , and we have also released all the python aiq source code here . it’s designed to be easy to plug in your own agents, or other reference machines, if you fancy having a go at that too. if you’re not sure you want read any of that, here’s the summary: we implemented the simple bf reference machine and extended it in the obvious ways to compute rl environments. we then sampled random bf programs to compute the environments, and tested against each of these. this can be a bit slow, so we used variance reduction techniques to speed things up. we then implemented a number agents. firstly, mc-aixi, a model based rl agent that can learn to play simple games such as tictactoe, kuhn poker and pacman, but is rather slow to learn. then hlq(lambda), a tabular rl agent similar to q learning but with an automatic learning rate. then q(lambda), a standard rl agent, and q(0), a weaker special case. finally, freq, a simple agent that just does the more rewarding action most of the time, occasionally trying a random action. there was also a random agent, but that always got an aiq of zero, as expected. the results appear below, across various episode lengths: the error bars are 95% confidence intervals for the estimates of the mean. as you can see, aiq orders the agents exactly we would expect, including picking up the fact the mc-aixi, while quite powerful compared to the other agents, is also rather slow to learn and thus needs longer episode lengths. we ran additional tests where we scaled the size of the context used by mc-aixi, and the amount of search effort used, and in both cases the aiq score scaled sensibly. see the talk slides for more details, or the paper itself. posted in uncategorized | 31 comments sutton on human level ai posted on 9 may, 2011 by shane prof. rich sutton, probably the most famous person in the field of reinforcement learning, gave a talk today at the gatsby unit. i was expecting a standard introduction to reinforcement learning to begin with, but it wasn’t to be. instead he kicked off with 20 minutes about the singularity. audience: so when do you expect human level ai? rich: roughly 2030. whether or not you agree, views like this seem to be becoming more common in academia. posted in uncategorized | 20 comments technological themes posted on 31 january, 2011 by shane looking over my predictions for the teenies from a year ago, they already look pretty lame. take 1/3 off usa’s ppp gdp and you already get china, the latest sony portable device has a 4 core processor, intel’s latest set of cpus are once again pretty awesome, schemes to let you pay for stuff with your phone are already getting under way (via both screen bar codes and near field communication), and a graphics card review i read the other day noted that the most graphically demanding games on high resolution monitors with all the graphical bells and whistles switched on now run very well on the latest “mid range” graphics cards. at the time that i made my teenies predictions i thought they seemed a bit like predicting the obvious. but i’m now starting to wonder whether many of my predictions could have been more tightly assigned to the following 3-4 years, rather than the next decade. one thing i’ve noted in the past is that it’s usually easier to predict fundamental things like flops per dollar than is it to predict how these technological fundamentals will translate into applications. that might be true, but knowing that your computer of five years hence will have x bytes of storage and perform y computations per second is a bit abstract for most purposes. what will be the new toys, the new applications, the new businesses? these are the things that impact people. if predicting specific applications is a bit much to ask for (and if i could i might not want to tell you!), perhaps the next best is to predict the general nature of applications during a period of time. what you might call the “technological theme” of a period. 1980 to about 1995 was the period of the pc. starting with hobbyists and niche applications and spreading to take over a large chunk of the office. the ibm pc marked the point at which this went mainstream. the defining characteristic was that the communication was typically local, if the machines were networked at all. 1995 to about 2010 was the period of the internet. first emails and basic web pages, search, then ordering online, online banking, music, video, etc. netscape marked the point at which this went mainstream. the defining characteristic was that the communication was now global but the interface with the world was usually pretty traditional: keyboard, mouse, monitor. so what’s the next theme? mobile internet might be an answer, but i think that it’s more general than that. as great as the internet is, most of the important stuff still occurs in that other place called reality. maybe it’s a new house with a swimming pool, throwing a party with friends or coming down with a serious illness. i think the next theme will be for technology to interface more effectively with the world, being mobile is only one aspect of that. if i had to pin the start of this going mainstream on one thing, it’d say it was the iphone as that’s when the internet started to show up in the day to day moments of people’s lives as they’re out and about doing things. once the location, state and function of many everyday objects starts to spread onto the internet, all sorts of creative efficiencies become possible. need to pay for the coffee? just press a button on your phone. not sure where your car is? ask your phone to show you the way. need a cab or a pizza or… just select what you want on some menus on your phone. prices, special deals, time you’ll need to wait — it will all be there. need to keep a close eye on your health? get a small sensor implanted that monitors your blood insulin, oxygenation, pressure, cholesterol, heart rate and so on and wirelessly updates this information to your phone. shou

URL analysis for vetta.org


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http://www.vetta.org/2010/12/goodbye-2010/
http://www.vetta.org/2009/12/tick-tock-tick-tock-bing/
http://www.vetta.org/2012/08/neil-armstrong/#comments
http://www.vetta.org/2007/12/
http://www.vetta.org/2009/12/the-teenies/#comments
http://www.vetta.org/2011/01/technological-themes/
http://www.vetta.org/documents/aiq_talk.pdf

Whois Information


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WHOIS LIMIT EXCEEDED - SEE WWW.PIR.ORG/WHOIS FOR DETAILS

  REFERRER http://www.pir.org/

  REGISTRAR Public Interest Registry

SERVERS

  SERVER org.whois-servers.net

  ARGS vetta.org

  PORT 43

  TYPE domain

  REGISTERED unknown

DOMAIN

  NAME vetta.org

NSERVER

  ULTRA104.UK2.NET 77.92.66.26

  ULTRA103.UK2.NET 77.92.66.25

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