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Data-Powered Algorithms - I Bernard Chazelle Princeton University Bernard Chazelle Princeton University.

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Presentation on theme: "Data-Powered Algorithms - I Bernard Chazelle Princeton University Bernard Chazelle Princeton University."— Presentation transcript:

1 Data-Powered Algorithms - I Bernard Chazelle Princeton University Bernard Chazelle Princeton University

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3 Lord Kelvin ( 1824-1907 ) “ X-rays will prove to be a hoax" “ Radio has no future. "

4 Albert Einstein ( 1932 ) “ There is not the slightest indication that nuclear energy will ever be obtainable. "

5 "I think there is a world market for maybe five computers." Thomas Watson IBM Chairman (1943 )

6 “Computing power doubles every two years." Gordon Moore Intel Co-founder (1965 ) Moore’s Law Moore’s Law

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9 Moore’s Law repealed In a few decades…

10 “ There’s nothing to be discovered in physics today. " Lord Kelvin ( 1824-1907 )

11 Lord Chazelle (2006) “ There’s nothing to be discovered in computer science today. "

12 Lord Chazelle (2006) “ There’s nothing to be discovered in computer science today. "

13 “ Computing will be the most disruptive scientific paradigm disruptive scientific paradigm since quantum mechanics." since quantum mechanics." Lord Chazelle (2006)

14 “ … and the end of Moore’s Law will make this even more obvious." make this even more obvious." Lord Chazelle (2006)

15 What is computing ?  Universality  Self-reference  Duality  Tractability

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17 control data program

18 Let ‘em eat cake Print this Let ‘em eat cake

19 Before Turing… data

20 Before Turing… data

21 Fishing …

22 Fishing manual programdata

23 Fishing … Confucius Fishing manual programdata

24 needs to know how to fish

25 Fishing manual programdata needs to know nothing about fishing

26 control data program knows nothing

27 001010100010100010011111010001010 turn bits into sounds

28 001010100010100010011111010001010 display/organize email

29 001010100010100010011111010001010 algebra Earth simulator

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32 Let ‘em eat cake Print this Let ‘em eat cake signified signifier program data Saussure (1857-1913)

33 Let ‘em eat cake Print this This is not a pipe Magritte

34 Let ‘em eat cake Print this WHO’S ON FIRST ? Abbott and Costello

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36 Print this

37 Print this twice Self-replication

38 James Watson – Francis Crick, 1953

39 Self-reference: base pairs Duality: gene/protein signifier signified

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41 all seem intractable Protein folding Scheduling Theorem proving Traveling salesman Andrew Wiles Map coloring

42 equivalent Protein folding Scheduling Theorem proving Traveling salesman Andrew Wiles Map coloring

43 intractable ? Protein folding Theorem proving Traveling salesman Andrew Wiles Map coloring E-commerce security

44 Two Amazing Consequences of Intractability Zero Knowledge Probabilistically Checkable Proofs

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46 Are you richer than me ? dunno, but I won’t tell you how much I’m worth Bill Bob

47 I won’t tell you either So, who’s richer ? Bill Bob

48 Bill There exists a dialogue… Bob

49 blah blah blah Bill Bob

50 Bill at the end of which… Bob

51 1. They will know who is richer 2. They will have learned nothing else ( with probability 0.99999999999 ) Bob Bill

52 Zero Knowledge I have no nukes ! Prove it!

53 1. No UN inspections 2. Both parties try to cheat

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55 Who will believe me? My Proof of Riemann’s Hypothesis Step 1 write proof in special format Step 2 verifier picks 5 random words

56 compiler

57 Verifier There’s something wrong. I REJECT !

58 Verifier Everything looks fine. I ACCEPT ! Verifier is correct with probability 0.9999999

59 Verifier There’s something wrong. I REJECT ! If my 2000-page proof is wrong in only one step, how can verifier spot an error in 5 random words?

60 Verifier Everything looks fine. I ACCEPT ! How does verifier know I proved Riemann’s hypothesis and not 2+2=4 ?

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62 Very little does a lot

63 32 x 17 224 32 = 544 grade school

64 FFT signal processing

65 RSA encryption e-commerce

66 PageRank web search

67 Biomedical imaging Sloan Digital Sky Survey 10 petabytes (~1MG) (~1MG) 10 petabytes/yr 150 petabytes/yr 10,000 times the Library of Congress

68 Understanding Biological Function 100s of sequenced genomes Function of many genes unknown –30% for yeast Genome Proteome

69 Interaction Networks High-throughput experiments (Yeast two-hybrid, etc) Form networks of interactions

70 protein-protein interaction networks

71 Barabasi, AL. et al. (2004) Nat. Rev. Genet. Spirin, V. et al. (2003) PNAS Analysis of Interaction Networks Yeger-Lotem, E. et al. (2004) PNAS

72 Sciences of The Formula math, physics, chemistry

73 Sciences of The Algorithm Abu Abdullah Muhammad bin Musa al-Khwarizm (780-850)

74 “ If Google is a religion, what is its God? It would have to be The Algorithm. “


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