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- Definition of computable in the Legal Dictionary - by Free online English dictionary and encyclopedia. What is computable? Meaning of computable as a legal term. What does computable mean in law?. — “computable legal definition of computable. computable”, legal-
- The set of names of people in this room is computable. Example computable. if we could program a. computer (with a finite program), such that running the. — “Computable Structure Theory”, math.hawaii.edu
- In mathematics, particularly theoretical computer science and mathematical logic, the computable numbers, also known as the recursive numbers or the computable reals, are the real numbers that can be computed to within any desired precision by a finite, terminating algorithm. — “Computable number - Wikipedia, the free encyclopedia”,
- Another useful concept is computable enumerability: S is computably enumerable, computable," in the following sense, which the reader should try to prove. — “Computable Fields and Galois Theory”, qcpages.qc.cuny.edu
- Definition of computable from Webster's New World College Dictionary. Meaning of computable. Pronunciation of computable. Definition of the word computable. Origin of the word computable. — “computable - Definition of computable at ”,
- How do the genetic makeup and environment interact to shape intricate developmental processes that lead to functional tissues, organs and organisms from undifferentiated cells? This has been a challenging The sun never sets on The Computable Plant! WebCounter Courtesy of http://www.digits. — “”
- Definition of Computable in the Online Dictionary. Meaning of Computable. Pronunciation of Computable. Translations of Computable. Computable synonyms, Computable antonyms. Information about Computable in the free online English dictionary and. — “Computable - definition of Computable by the Free Online”,
- Capable of being computed. (computing theory) algorithmically computable, i.e. able to be calculated by a Retrieved from "http:///wiki/computable" Categories: English words suffixed with -able | English adjectives | English uncomparable. — “computable - Wiktionary”,
- Computable Insights LLC. generating insights from massive data sets. contact: Principal. John R. Frank. — “Computable Insights LLC”,
- is one of the top 100,000 sites in the world and is in the Tijdschriften category. — “ Site Info”,
- Computable Functions was founded in 2000 by Iain MacKay and Geoff Wright. implementation of XtabML, a new XML standard for the representation of survey cross-tab reports, designed for Pulse Train by Computable Functions. — “Welcome to Computable Functions”, computable-
- If a structure B is isomorphic to a computable structure A then A is called. a computable presentation of B. We often identify computable and com- putably presentable structures. If there exists an algorithm that decides ter that say something reasonable and deep about computable models of. — “A COMPUTABLE ℵ”, math.uchicago.edu
- Blog of popular science, hardware, software, algorithmics, Artificial Intelligence and others branches of computer science. Computable Minds - . — “Computable Minds: Popular computer science”,
- computable number. A real number $r$ is called computable if there exists some terminating algorithm (or Turing machine) that can approximate it to arbitrary precision. The computable complex numbers form an algebraically closed field, and arguably this. — “PlanetMath: computable number”,
- Computable Genomix provides innovative bioinformatic tools that accelerate and enhance the discovery process. Computable Genomix LLC © 2007-2010 • Memphis, Tennessee • Privacy • Legal Notice • Contact Us. — “Computable Genomix”,
- We found 26 dictionaries with English definitions that include the word computable: Click on the first link on a line below to go directly to a page where "computable" is defined. General (18 matching dictionaries) computable: Compact Oxford English Dictionary [home, info]. — “Definitions of computable - OneLook Dictionary Search”,
- there are c.e. linear orderings not isomorphic to computable ones (which linear orderings not isomorphic to computable ones (which introduced. — “ON COMPUTABLE SELF-EMBEDDINGS OF COMPUTABLE LINEAR ORDERINGS”,
- computable function ( kəm¦pyüdəbəl ′fəŋkshən ) ( mathematics ) A function whose value can be calculated by some Turing machine in a finite. — “Computable function: Definition from ”,
- South West ComputAble premium specialists in Computer networking, sales and services (Microsoft, Apple, Toshiba, Acer, HP, Rebound, Apple Macintosh, Sales, Support, Website Design). — “About SWC - South West Computable”, .au
- The computable numbers form a real closed field and can be used in the place of real numbers for some, but by no means all, mathematical purposes. The computable numbers are countable and the uncountability of the reals implies that most real numbers are not computable. — “Computable number - Definition”,
- are computable. presentations of computable linear orders, then an embedding. π : L. 1. L. 2 least element, there is an index for a computable presentation. of the. — “Embeddings of Computable Linear Orders”, math.uconn.edu
- 1 Computable ***ysis. 2 Type-2 theory of effectivity. 3 Computable measurable theory. 4 Undecidability of the measurable sets Computable ***ysis (recursive ***ysis) wants to find which computations. — “Computable Measure Theory”, ims.nus.edu.sg
- Academics, Research, Computer Science, Mathematics Computable. À la Carte:: Carlos Martínez Méndez. Contact. Research. Publications. Resources. Teaching. Notes. Seminars. Computable. Conferences. Links: Personal Blog. Google's Reader. Social Networks. Ongoing:: "There are many ways of trying to understand programs. — “Carlos Martínez Méndez”, computable.cl
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- Norman Manley Norman Manley is managing partner van Passionned columnist van Computable en verantwoordelijk voor het business en market development van de diensten op het vlak van business intelligence
- Picture of me on the cover of Computable magazine
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- printcampagne computervakblad Computable Posted under Uncategorized by admin on 09 6 2009 |
- the Turing machine calculates some inscrutable but computable thing
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- typically a computable approximation absolute complexity Wikipedia http www csse monash edu au ~dld Publications 2005 ComleyDowe2005MMLGeneralizedBayesianNetsAsymmetricLanguages p272 jpg http www csse monash edu au ~dld Publications 2005
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- View abstract pdf Molecular Biology of the Cell 15 Supplement 315A November 2004 Abstract Number 1204 Download Poster gif 1 2MB or Poster pdf 22MB or Visit ASCB Web Site
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- Pieter van Dijken about me Artikel uit Computable vanwege een gerapporteerde low tech hack van de NS website zie de Wiki voor meer info Lang interview uit maandblad Triv 11 2007 over privacy Privacy bestaat
- รับเชิญบรรยายเรื่อง การคิดเชิงวัตกรรม ในการสัมมนาเชิงปฏิบัติการ ศ ดร เกรียงศักดิ์ รับเชิญบรรยายเรื่อง การคิดเชิงวัตกรรม ใน
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- Middlename Lastname Would you like to And before you ask the *** thing is presumably supposed to expand into Mr or Mrs no they aren t THAT kind of magazine Guess what Given this message I m totally not interested in their leads to new business Not that I d been interested otherwise
- Volledige versie Bron Computable 1 oktober 2008
- Linux desktop levert felle discussie op wordt vervolgens een conclusie getrokken Voor en nadelen voor zakelijke client blijken beide niet doorslaggevend Uitstekende discussie over Linux op de desktop Laat iedereen zijn eigen oordeel vellen Voor mij persoonlijk is er geen discussie nodig Ik gebruik al jaren Linux op de desktop en heb van
- ชมมายด์แม็บที่ยาวที่สุดในโลก ณ มหาวิทยาลัยหอการค้าไทย 28 กรกฎาคม 2551 บรรยายพิเศษ การคิดเชิงกลยุทธ์ สถาบันพัฒนาข้าราชการฝ่ายอัยการ
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- に登録してあるものとします まず Google Scholar で On Computable Numbers with an Application to the Entscheidungsproblem を検索 します 次に 引用元 リンクを辿り On Computable Numbers を参照している論文を検索します 1 919 本も出てきます ここで ページ
- Computable managing outsourcing
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- Selectiebureaus vert > 11 Sep 2007 19 26 566K computable ifs JPG 06 Sep 2007 21 04 180K computable ifs bmp 06 Sep 2007 21 12 2 8M dummy pdf 26 Jun 2007 09 39 0
- を検索 します 次に 引用元 リンクを辿り On Computable Numbers を参照している論文を検索します 1 919 本も出てきます ここで ページ上部にある検索語のテキストボックスに origami と入力し 検索 ボタンを押さずに ブラウザーのブックマークから
- page 3 page 4 Computable eComStation
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- と入力した後で 検索 ボタンを押すと 単にすべての論文の中から origami という語を含む論文を検索することになってしまいます 工夫次第でいろいろな使い方ができると思います 試してみてください 制限その他 当然ながら これは Google がサポートして
- เงินเฟ้อ ในรายการชั่วโมงทำกิน ทางทีวีไทย ทีวีสาธารณะ 28 กรกฎาคม 2551 บรรยายพิเศษเรื่อง เยาวชนกับการมีจิตสำนึกสาธารณะทางการเมือง
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- of course is the way the net can be explored but it also the way new webs can built across the net The pointers soon explode as Figure 4 which is a map of four layers within GeoWeb implies This is the kind of complexity that is characteristic of the information society and which makes traditional responses to its study quite inadequate
- Computable tools
- Click here to read the article >> Computable the well known computer magazine published an item on Company Comics on Mont Martre Paris Click to the article >> Eindhovens Dagblad reported on their front page about the first digital caricaturist Harold Hugenholtz Click to the article >>
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- The Dutch computer magazine Computable wrote about Pongmechanik in their 11 2004 issue And I don t understand any word of it Read article
- Computable Genomix CEO Brad Silver arrives Nashville tomorrow from Memphis looking for investors Memphis based Silver at left told VNC yesterday that among other stops he plans visits with two Nashville based TNInvestco firms which he declined to identify for this story He said he
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AccountView introduces new SaaS solutions AccountView introduces new SaaS solutions tells Casper Haspels, commercial director Accountview to Witold Kepinski, managing editor Computable
Neelie Kroes is interested in virtual desktop (vdi) at CeBIT 2011 Neelie Kroes vice president of the European Commission for the Digital Agenda, is interested in virtual desktop (vdi) at CeBIT 2011. She talks with Luc van Stappershoef business development director van Force Fusion and Jan Warnier about desktopvirtualization. A video by Witold Kepinski, Netherlands
A Quantitative Edge: Powerful Web ***ysis with Mathematica Building on a number of Mathematica's standard features, including the Import function and DatabaseLink, Wolfram Research's corporate ***ysis team has developed a powerful, in-house computable data function to quickly generate statistics and create sophisticated visualizations to ***yze the company's web traffic and other business data. David Howell, Wolfram's corporate ***ysis team lead, says Mathematica's flexibility and integration give his group several advantages for studying how visitors interact with Wolfram websites. He says, "Often once we've computed and visualized the data, we'll think of a slight difference in how it can be presented. Because we're working in one centralized and unified environment, Mathematica, we can immediately pop into the code, make changes, and work with those new features immediately without the mental overhead of switching tools." As a result, the corporate ***ysis team can efficiently generate insightful, customizable reports that anyone in the company can use to explore and understand the flow of the company's web traffic. "Mathematica's a powerful language for doing data ***ysis, but in addition to the computing power, it gives us the ability to produce interactive documents that our colleagues can use to see the bigger picture of web traffic on our sites. And that really helps us focus on solving problems and helping our visitors reach their goals." The Mathematica Edge • Provides one environment and programming language for ...
In His Own Words: Stephen Wolfram on Computational Knowledge, Pt. 1 We had the privilege of sitting down and talking with Stephen Wolfram himself a few weeks back to get his take on making more of the world's knowledge computable.
3D TUTORIAL- MODELING A COMPUTER TABLE PART-2 Learn how to model a computer table quickly. step by step project, if u like it, i will appreciate you to leave a comment.
Install VMWare tools Why is nothing computable when it comes to Linux? Could it be that all the revisions of the kernel make deployment impossible? Or could it be that library upgrades break compatibility? I know IT IS BOTH! WTF How is this in HD? I uploaded a mpeg 1file?!?!
Gordon Plotkin - Robin Milner: A Craftsman of Tools for the Mind Robin Milner (1934 - 2010) contributed to many areas of computer science. His LCF system (Logic of Computable Functions) is at the origins of computer-assisted theorem-proving, and his ML language (MetaLanguage) is the first large-scale typed functional programming language. He was a founder of the field of process calculi, making a whole series of fundamental contributions: CCS (the Calculus of Communicating Systems), the pi-calculus, and, most recently, bigraphs. This talk by Gordon Plotkin at the 2010 Federated Logic Conference (FLoC) surveys Robin's many contributions, trying both to give some feeling for what he did and also to convey something of the influence of his work. Gordon Plotkin obtained his BSc, in Mathematics and Physics, from Glasgow University, in 1967, and his PhD, in Artificial Intelligence, from Edinburgh University, in 1972. He then joined the faculty at Edinburgh, becoming a full professor in 1986. He is a Fellow of the Royal Society, a member of Academia Europaea, and a Fellow of the Royal Society of Edinburgh, and has held visiting positions at Syracuse, Stanford, Orsay, INRIA, Aarhus, MIT, ENS, Paris 7, DEC SRC, ETL, and Microsoft. His research contributions include work on hypothesis discovery, theorem proving, situation theory, non-standard logics, and category theory, but he may be best known for his work on the semantics and logic of programming languages, with contributions to operational semantics, logical frameworks, concurrency, domain ...
Machine Super Intelligence - Shane Legg on AI [UKH+] (2/12) What ever happened to the ambitious aims of artificial intelligence, specifically, its original goal of creating an "intelligent machine"? Are we any closer to this than we were 20 or 30 years ago? Indeed, have we made any progress on figuring out what intelligence is, let alone knowing how to build one? After all, if we had a clearer idea of where we want to get to, we might be able to come up with some better ideas on how to get there! Clearly, artificial intelligence could do with a better theoretical foundation. This talk will outline work on creating such a foundation: *) What is intelligence? *) How can we formalise machine intelligence? *) Solomonoff Induction: a universal prediction system. *) AIXI: Hutter's universal artificial intelligence. *) MC-AIXI: a computable approximation of AIXI. *) Can the brain tell us anything useful for building an AI? *) Is building a super intelligent machine a good idea? ** About the speaker: Dr Shane Legg is a post doctoral research associate at the Gatsby Computational Neuroscience Unit, University College London. He received a PhD in 2008 from the Department of Informatics, University of Lugano, Switzerland. His PhD supervisor was Prof. Marcus Hutter, the originator of the AIXI model of optimal machine intelligence. Upon the completion of his PhD he won the $10000 Canadian Singularity Institute for Artificial Intelligence Prize and was also awarded a post doctoral research grant by the Swiss National Science Foundation. Shane ...
Brad Silver Brad Silver speaking on Computable Genomix and how he started the company. Made in advance of Startup TV Memphis.
Machine Super Intelligence - Shane Legg on AI [UKH+] (11/12) What ever happened to the ambitious aims of artificial intelligence, specifically, its original goal of creating an "intelligent machine"? Are we any closer to this than we were 20 or 30 years ago? Indeed, have we made any progress on figuring out what intelligence is, let alone knowing how to build one? After all, if we had a clearer idea of where we want to get to, we might be able to come up with some better ideas on how to get there! Clearly, artificial intelligence could do with a better theoretical foundation. This talk will outline work on creating such a foundation: *) What is intelligence? *) How can we formalise machine intelligence? *) Solomonoff Induction: a universal prediction system. *) AIXI: Hutter's universal artificial intelligence. *) MC-AIXI: a computable approximation of AIXI. *) Can the brain tell us anything useful for building an AI? *) Is building a super intelligent machine a good idea? ** About the speaker: Dr Shane Legg is a post doctoral research associate at the Gatsby Computational Neuroscience Unit, University College London. He received a PhD in 2008 from the Department of Informatics, University of Lugano, Switzerland. His PhD supervisor was Prof. Marcus Hutter, the originator of the AIXI model of optimal machine intelligence. Upon the completion of his PhD he won the $10000 Canadian Singularity Institute for Artificial Intelligence Prize and was also awarded a post doctoral research grant by the Swiss National Science Foundation. Shane ...
In His Own Words: Stephen Wolfram on Computational Knowledge, Pt. 3 We had the privilege of sitting down and talking with Stephen Wolfram himself a few weeks back to get his take on making more of the world's knowledge computable.
Problems with Penrose and the Halting of Hameroff A critique of the basic proposals of Penrose and Hameroff's objective reduction model of consciousness. Basic argument: (Penrose) Some things are "non-computable" Mathematitions overcome non-computability by "insight" Insight is "non-computable" Insight is central to understanding consciousness Insight and therefore consciousness require non-computable processes Quantum physics is non-computable Thus Quantum physics is responsible for consciousness (Hameroff) The microtubles may be related to consciousness Microtubles may act in macroscopic states of quantum entanglement Thus Microtubles acting in quantum entangled states are responsible for consciousness This argument is one I wish to refute (it can be found here in greater detail) Beyond Belief 2006 - Hameroff Luckily, others agree with me: Dennett (Functionalist critique) ase.tufts.edu Grush and Churchland ( Neuroscience critique) mind.ucsd.edu McDermott ( AI critique) psyche.cs.monash.edu.au
CompuTable: Pittsburgh Innovates Multi-Touch Application CompuTable is a multi-touch computer system that I built to showcase applications I designed for . My goal is to develop multi-touch applications that display information about a city or business. These computer tables can be customized for any environment and style. Including Drafting table, coffee table, bar, or tv. The applications can be build to suite your business or organization. Vote for me at and read about my ideas for this great technology. Visit: to see the silverlight Pittsburgh web application live
Truth and Context Part 1 of 3 - Intro to Context What is Truth? What is Context? Podcast Guide Part 1: Show #5 - Intro to Context (4 min) Part 2: Show #6 - Discussion (10 min) Part 3: Show #7 - eBook - Truth (10 min) When man first attempted "Artificial" Intelligence, programs were written to learn facts A "fact" was written as: male sibling of parent is an uncle The idea was that a computer could be taught to understand that if your father John has a brother Paul, then Paul is your Uncle. None of these programs ever enabled a computer to understand anything But what is a fact, really? "father's brother is your uncle" is not a computable fact How can that be? Know any Catholics? to make a Fact computable, it must stay true even in changing circumstances so we developed a way to link truth to all points of a cycle of constant contextual variation ... ... a cycle that defines the existence of a computation that may be the lifespan of an intelligent entity ... a way to define the true meaning of a complex symbol like Father, which in context may mean Dad, Priest, or even God ... making it possible for an Intelligence to understand intended meaning, whenever and wherever a symbol is used. We call the loci of multi-dimensional symbols that define an Identity, Context Space and its information store, Contextual Fabric Brother -- (Man -- Parent) is a good point in Context Space to store a Form for "Uncle" Thus far, we have only discovered one way to design an intelligent entity ... ... that is to store all parts of Identity ...
StartUp TV Memphis - Computable Genomix
Computable: Multi-Touch Computer Table: Ejukebox If your interested in building your own table go to and check out Jeff Hann's video were he wows google ceo's at Ted's
Computability Principle This is a brief film version of the first section of a paper I wrote in 2000 that proposed the natural selection of elementary particles. In this section I introduce the viewer to the Computability Principle. The Computability Principle is an assumption that the mechanism of the universe is computable.
Part 1: Original Intro to Wolfram|Alpha by Stephen Wolfram Wolfram|Alpha is the first step in an ambitious, long-term project to make all systematic knowledge immediately computable by anyone. Wolfram|Alpha uses its built-in algorithms and an ever-growing collection of data to compute the answers to your questions and calculations. In this video, Wolfram|Alpha creator Stephen Wolfram gives a quick introduction to the computational knowledge engine. Part 2 of his introduction can be viewed here: For more information about Wolfram|Alpha, please visit the website:
Kids Compute Kids Compute is an educational software package I developed for use on touch screen devices and tablets or tables such as the Microsoft Surface. The application was written in C# with Microsoft Expression Blend. This is a prototype application and animation. This was originally developed for the Microsoft Imagine Cup.
Buddhabrot Deconstruction The deconstruction of the elements that create the Buddhabrot fractal. First series, images with just orbit plots that escape at exactly N iterations. These are the paths that points visit as they escape into infinity. (Points that don't escape are inside the Mandelbrot set and are not included in this representation -- they form the Anti-Buddhabrot.) The second series, if you accumulate the orbital plots, the image converges into the fractal as N tends towards infinity. Or into an easily computable approximation if you don't have enough time to do infinitely many iterations. ;)
Machine Super Intelligence - Shane Legg on AI [UKH+] (3/12) What ever happened to the ambitious aims of artificial intelligence, specifically, its original goal of creating an "intelligent machine"? Are we any closer to this than we were 20 or 30 years ago? Indeed, have we made any progress on figuring out what intelligence is, let alone knowing how to build one? After all, if we had a clearer idea of where we want to get to, we might be able to come up with some better ideas on how to get there! Clearly, artificial intelligence could do with a better theoretical foundation. This talk will outline work on creating such a foundation: *) What is intelligence? *) How can we formalise machine intelligence? *) Solomonoff Induction: a universal prediction system. *) AIXI: Hutter's universal artificial intelligence. *) MC-AIXI: a computable approximation of AIXI. *) Can the brain tell us anything useful for building an AI? *) Is building a super intelligent machine a good idea? ** About the speaker: Dr Shane Legg is a post doctoral research associate at the Gatsby Computational Neuroscience Unit, University College London. He received a PhD in 2008 from the Department of Informatics, University of Lugano, Switzerland. His PhD supervisor was Prof. Marcus Hutter, the originator of the AIXI model of optimal machine intelligence. Upon the completion of his PhD he won the $10000 Canadian Singularity Institute for Artificial Intelligence Prize and was also awarded a post doctoral research grant by the Swiss National Science Foundation. Shane ...
Wolfram|Alpha Launch: Introduction Wolfram|Alpha creator Stephen Wolfram opens the launch of Wolfram|Alpha by giving a brief overview of the project, explaining the events of the evening, and introducing the hosts of the webcast, Wolfram Research co-founder Theodore Gray and Max Whitby. Wolfram|Alpha is available for free online at: Wolfram|Alpha's long-term goal is to make all systematic knowledge immediately computable and accessible to everyone. The company aims to collect and curate all objective data; implement every known model, method, and algorithm; and make it possible to compute whatever can be computed about anything. Wolfram|Alpha builds on the achievements of science, and other systematizations of knowledge, to provide a single source that can be relied on by everyone for definitive answers to factual queries. Wolfram|Alpha was created with Mathematica—itself the result of more than 20 years of development at Wolfram Research—and is being developed by a world-class team of experts led by Stephen Wolfram, a distinguished scientist, inventor, author, and business leader.
In His Own Words: Stephen Wolfram on Computational Knowledge, Pt. 2 We had the privilege of sitting down and talking with Stephen Wolfram himself a few weeks back to get his take on making more of the world's knowledge computable.
Wolfram Alpha - - While walking around the conference floor during SXSW recently, I happened across the Wolfram Alpha booth. Their long-term goal is to make all systematic knowledge immediately computable and accessible to everyone. Wolfram Alpha's goal is to deliver to you answers that are definitive. It has an amazing inventory of numbers and facts known in the world. It has an engine on top of that which allows it to make new calculated facts based on that already-known information. Thanks to AMD for their sponsorship so that I could attend the SXSW conference. - - http
Part 2: A Quick Intro to Wolfram|Alpha by Stephen Wolfram (low res) Wolfram|Alpha is the first step in an ambitious, long-term project to make all systematic knowledge immediately computable by anyone. Wolfram|Alpha uses its built-in algorithms and an ever-growing collection of data to compute the answers to your questions and calculations. In this video, Wolfram|Alpha creator Stephen Wolfram gives a quick introduction to the computational knowledge engine. For more information about Wolfram|Alpha, please visit the website:
Machine Super Intelligence - Shane Legg on AI [UKH+] (4/12) What ever happened to the ambitious aims of artificial intelligence, specifically, its original goal of creating an "intelligent machine"? Are we any closer to this than we were 20 or 30 years ago? Indeed, have we made any progress on figuring out what intelligence is, let alone knowing how to build one? After all, if we had a clearer idea of where we want to get to, we might be able to come up with some better ideas on how to get there! Clearly, artificial intelligence could do with a better theoretical foundation. This talk will outline work on creating such a foundation: *) What is intelligence? *) How can we formalise machine intelligence? *) Solomonoff Induction: a universal prediction system. *) AIXI: Hutter's universal artificial intelligence. *) MC-AIXI: a computable approximation of AIXI. *) Can the brain tell us anything useful for building an AI? *) Is building a super intelligent machine a good idea? ** About the speaker: Dr Shane Legg is a post doctoral research associate at the Gatsby Computational Neuroscience Unit, University College London. He received a PhD in 2008 from the Department of Informatics, University of Lugano, Switzerland. His PhD supervisor was Prof. Marcus Hutter, the originator of the AIXI model of optimal machine intelligence. Upon the completion of his PhD he won the $10000 Canadian Singularity Institute for Artificial Intelligence Prize and was also awarded a post doctoral research grant by the Swiss National Science Foundation. Shane ...
Machine Super Intelligence - Shane Legg on AI [UKH+] (9/12) What ever happened to the ambitious aims of artificial intelligence, specifically, its original goal of creating an "intelligent machine"? Are we any closer to this than we were 20 or 30 years ago? Indeed, have we made any progress on figuring out what intelligence is, let alone knowing how to build one? After all, if we had a clearer idea of where we want to get to, we might be able to come up with some better ideas on how to get there! Clearly, artificial intelligence could do with a better theoretical foundation. This talk will outline work on creating such a foundation: *) What is intelligence? *) How can we formalise machine intelligence? *) Solomonoff Induction: a universal prediction system. *) AIXI: Hutter's universal artificial intelligence. *) MC-AIXI: a computable approximation of AIXI. *) Can the brain tell us anything useful for building an AI? *) Is building a super intelligent machine a good idea? ** About the speaker: Dr Shane Legg is a post doctoral research associate at the Gatsby Computational Neuroscience Unit, University College London. He received a PhD in 2008 from the Department of Informatics, University of Lugano, Switzerland. His PhD supervisor was Prof. Marcus Hutter, the originator of the AIXI model of optimal machine intelligence. Upon the completion of his PhD he won the $10000 Canadian Singularity Institute for Artificial Intelligence Prize and was also awarded a post doctoral research grant by the Swiss National Science Foundation. Shane ...
Thinking Part 1 The Laws Of Thought Great Documentary with Marvin Minsky and John Searle, among others. Searle: "Many people who work in cognitive science and in the philosophy of mind think that the most exciting idea of the past generation, indeed of the past two thousand years, is that the mind is a computer program. Specifically, the idea is that the mind is to the brain as the computer program is to the computer hardware." 1. Turing machines a. The idea of a Turing machine is an abstract, mathematical notion, but for practical purposes, ordinary computers, of the kind you buy in a store, are Turing machines. b. The remarkable feature of a Turing machine is that it performs only four operations: Print "0;" erase" I;" print" I ," erase "0;" move one square left; move one square right. Modern machines perform these operations at the rate of millions per second. 2. Algorithm a. An algorithm is a systematic procedure for solving a problem in a finite number of steps. Computer programs are algorithms. 3. Church's Thesis a. Church's Thesis states that any algorithm can be implemented on a Turing machine. For every computable function, there is a Turing machine that can compute that function. 4. Turing's Theorem a. Turing's theorem states that there is a Universal Turing machine which can simulate the behavior of any other Turing machine. 5. The Turing Test a. The Turing test states that if an expert cannot distinguish the behavior of a machine from that of a human, then the machine has the same cognitive ...
Windows 7 Multi-Touch Demo This is a demonstration of the capabilities Dell XT Tablet with Windows 7 the next generation of Windows with multi-touch capabilities enabled. The touch events were captured and converted to TUIO messages for Flash and C# applications. Although these features are currently limited to SDK supplied by NTrig we were able to still leverage these features using wm_touch to TUIO interface. This platform can be used to easily develop programs that will use Multi-Touch features in the future Windows. Applications include AudioTouch, SimpleDesktop, WM2TUIO, CompuTable User Interface (2009 All Rights Reserved)
Computable Art FACS 2500 Final Project "Computable Art" Project is made entirely in the interactive programming environment Max/MSP/Jitter. Showcases the validity of internet memes/ viral images as art as well as the notion of the computer as a performing artist. Piano piece is played with no human interaction.
Mathematica 8: Using Free-Form Input and Wolfram|Alpha Data Mathematica 8 introduces free-form linguistic input—a whole new way to compute. Enter plain English; get immediate results—no syntax required. It's a new entry point into the complete Mathematica workflow, now upgraded with 500 additional functions and 7 application areas—including the world's most advanced statistics capability and state-of-the-art image processing. Mathematica 8 dramatically expands data access options by integrating Wolfram|Alpha. Drawing on Wolfram|Alpha's vast collection of computable data across hundreds of fields, Mathematica 8 can import data in many formats—as a single result in numeric or table form, as a Wolfram|Alpha-style presentation of all available results for an entity, or embedded into a line of input for immediate computation. Mathematica 8 also features built-in programmatic access to the Wolfram|Alpha API, which allows the selection of specific Wolfram|Alpha results or output formats. For more information about Mathematica, please visit:
The Church-Turing Thesis: Story and Recent Progress Google Tech Talk June 8, 2009 ABSTRACT Presented by Yuri Gurevich. The Church-Turing thesis is one of the foundations of computer science. The thesis heralded the dawn of the computer revolution by enabling the construct of the universal Turing machine which led the way, at least conceptually, to the von Neumann architecture and first electronic computers. One way to state the Church-Turing thesis is as follows: A Turing Machine computes every numerical function that is computable by means of a purely mechanical procedure. It is that remarkable and a priori implausible characterization that underlies the ubiquitous applicability of digital computers. But why do we believe the thesis? Careful ***ysis shows that the existing arguments are insufficient. Kurt Gödel surmised that it might be possible to state axioms which embody the generally accepted properties of computability, and to prove the thesis on that basis. That is exactly what we did in a recent paper with Nachum Dershowitz of Tel Aviv University. Beyond our proof, the story of the Church-Turing thesis is fascinating and scattered in specialized and often obscure publications. I will try to do justice to that intellectual drama. Yuri Gurevich is Principal Researcher at Microsoft Research in Redmond, WA. He is also Prof. Emeritus at the University of Michigan, ACM Fellow, Guggenheim Fellow, a member of Academia Europaea, and Dr. Honoris Causa of a couple of universities.
CompuTable SketchUp Animation
Peoples Economy Stephen Kinsella Day 2 Stephen Kinsella is a Lecturer in Economics at the University of Limerick. He is the author of Ireland in 2050: How we will be Living and Understanding Ireland's Economic Crisis: Prospects for Recovery. His research spans the area of computable economics, health economics, and experimental economics. You can get more information from
A Turing Machine - Overview A Turing machine is a math concept that show that a few simple rules can be used to solve any computable computation. It is the basis for all of today's computers. My goal in building this project was to create a machine that embodied the classic look and feel of the machine presented in Alan Turings 1937 paper on computable numbers. More information can be found at:
Machine Super Intelligence - Shane Legg on AI [UKH+] (1/12) What ever happened to the ambitious aims of artificial intelligence, specifically, its original goal of creating an "intelligent machine"? Are we any closer to this than we were 20 or 30 years ago? Indeed, have we made any progress on figuring out what intelligence is, let alone knowing how to build one? After all, if we had a clearer idea of where we want to get to, we might be able to come up with some better ideas on how to get there! Clearly, artificial intelligence could do with a better theoretical foundation. This talk will outline work on creating such a foundation: *) What is intelligence? *) How can we formalise machine intelligence? *) Solomonoff Induction: a universal prediction system. *) AIXI: Hutter's universal artificial intelligence. *) MC-AIXI: a computable approximation of AIXI. *) Can the brain tell us anything useful for building an AI? *) Is building a super intelligent machine a good idea? ** About the speaker: Dr Shane Legg is a post doctoral research associate at the Gatsby Computational Neuroscience Unit, University College London. He received a PhD in 2008 from the Department of Informatics, University of Lugano, Switzerland. His PhD supervisor was Prof. Marcus Hutter, the originator of the AIXI model of optimal machine intelligence. Upon the completion of his PhD he won the $10000 Canadian Singularity Institute for Artificial Intelligence Prize and was also awarded a post doctoral research grant by the Swiss National Science Foundation. Shane ...
The Incomputable Alan Turing (mostly german) Documentary on the life of computer mathematician Alan Mathison Turing. I wish there was a version in English.
Part 2: Original Intro to Wolfram|Alpha by Stephen Wolfram Wolfram|Alpha is the first step in an ambitious, long-term project to make all systematic knowledge immediately computable by anyone. Wolfram|Alpha uses its built-in algorithms and an ever-growing collection of data to compute the answers to your questions and calculations. In this video, Wolfram|Alpha creator Stephen Wolfram gives a quick introduction to the computational knowledge engine. For more information about Wolfram|Alpha, please visit the website:
Lecture 12.3: The Amazing Alan Turing - Richard Buckland (extension lecture) UNSW 2008 We had a gap at the end of Lecture 12 so Richard gives an unplanned and impromptu talk about some of the contributions of the amazing thinker Alan Turing. So much to say, so little time, such fast talking. We chat about 3 different major contributions he made to the world - his decryption work during WWII and the Engima Machine; his abstract model of a computer (the Turing Machine) and what things can be effectively "computed"; and finally, briefly only, his thoughts about what it is to be human and the difference between humans and computers - the Turing Test. Alan Turing is a key figure in the development of computing, indeed if I had to pick just one thinker who was the most amazing he'd get my vote. Richard promises to talk about the Turing Test in more depth in the next extension lecture. Also comes up: Epimenides paradox, non computable functions, the halting problem, U-559, Colin Grazier GC, Anthony Fasson, GC,Tommy Brown, Blade Runner, CAPTCHAs. Errata: My memory was about as reliable as usual - I said Tommy stayed outside in a boat but i've since read that all three swam across and went into the U-559. Humbling bravery. I've also since realised that Colin Grazier was from Tamworth in the UK, not the Tamworth in Australia as I had always thought (why are so many English places named after Australian towns?) Finally, something which actually I did know but still managed to get wrong - the important material salvaged was not a cypher machine but quantities of data ...
Building a simple computable wave using Google Wave and Jnana Video shows how to use Google Wave as a declarative authoring tool for Jnana applications.
CompuTable: Multi-Touch Computer Table Multi-Touch Computer Name: CompuTable Music: Postal Service - Such Great Heights OS: WinXp Blobtracking: TouchLib nuigroup Type: FTIR NuiGroupID: touchmaster Location:Pittsburgh, PA ...... Go Pens Special Thanks to Jeff Hann, NuiGroup, Microsoft, and Google
The "Four Pillars" of Wolfram|Alpha Stephen Wolfram discusses the four main "pillars" or components of Wolfram|Alpha.
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“Computability theory,gogeshop.blog.hr The basic questions addressed by recursion theory are "What does it mean for a function from the natural numbers to themselves to be computable?”
— Computability theory - Laptop Battery Shop - Blog.hr, gogeshop.blog.hr“A brief downloadable timeline for the quest for computable knowledge leading up to Wolfram|Alpha”
— Wolfram|Alpha Blog : The Quest for Computable Knowledge: A,“Stephen Wolfram receives award for his contributions to computer science. Speech transcript and audio included”
— Wolfram Blog : Stephen Wolfram on the Quest for Computable,“ "computable functions of an integral variable or a real or computable variable, computable predicates, the words function of positive integers computable by Turing machine'”
— The Church-Turing Thesis: Copeland's article commented,“Description, evolution, authors and followers of Computable Minds in the social network of bloggers”
— Computable Minds - Blog,“The Health 2.0 Blog: Health 2.0, Computable Data Exchange, and The Sparse Information The Health 2.0 Blog: Health 2.0, Computable Data Exchange, and The Sparse Information”
— The Patient's Doctor: The Health 2.0 Blog: Health 2.0,“Computable reals. Post @ 11:27:14 | computations. Well, the title of the blog is computational information Anyway, in Computational science, one has from time to time to think of the basic notion of computable numbers”
— Computational Information Geometry Wonderland : Computable reals,“4 Responses to "Making the world's knowledge computable" I am fascinated by this computable knowledge'. I love the way that this tool can go above”
— Derek's Blog " Making the world's knowledge computable, blog.core-“computable, alpha, wolfram. This is WolframAlpha , launched officially on May 18,2009.This much clear-make all information available COMPUTABLE.Its going to be a historical”
— Navneet Sharma - The Blog - Posts tagged by "",
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