SlideShare ist ein Scribd-Unternehmen logo
1 von 76
FRANCE, CULTURE,
INDUSTRY, RESEARCH
Olivier Teytaud --- olivier.teytaud@inria.fr

1) France
   I just *love* Taiwan. I will try to convince you that you
   can love France as well :-)

2) Université Paris-Sud & Inria

3) My laboratory

4) My research
NUTN, Tainan, 2012
FRANCE HISTORY IN A NUTSHELL:
       Humans arrived in -1 800 000

  Old days:           阿斯泰利克斯历险记
Greeks, Romans,
Celts, Gauls
FRANCE HISTORY IN A NUTSHELL:
       Humans arrived in -1 800 000

  Old days:            阿斯泰利克斯历险记
Greeks, Romans,
Celts, Gauls


                  Middle-age
FRANCE HISTORY IN A NUTSHELL:
         Humans arrived in -1 800 000

  Old days:              阿斯泰利克斯历险记
Greeks, Romans,
Celts, Gauls


                   Middle-age


           <= Modern history
FRANCE HISTORY IN A NUTSHELL:
         Humans arrived in -1 800 000

  Old days:              阿斯泰利克斯历险记
Greeks, Romans,
Celts, Gauls


                   Middle-age


           <= Modern history

         Contemporary era =>
                 ( 現代史 )
FRANCE IS EVERYWHERE
FRANCE GEOGRAPHY IN A NUTSHELL:


First country in terms of number of time zones


The sun is 24/24 above France (only France
and UK have this property).


Big ocean surface thanks to small French islands
everywhere in the world.
FRANCE HISTORY IN A NUTSHELL:

After world war II:
- France was destroyed by two
     successive wars on its land

- very strong dirigism decided for:
     - military independence
     - energy independence
     - strong industrialization

- strong welfare mecanism: for good health,
     good education.
FRANCE HISTORY IN A NUTSHELL:

After world war II:
- France was destroyed by two
     successive wars on its land

- very strong dirigism (state influence)
   decided for:
     - military independence (nuclear weapons,
                 no more military service)
     - energy independence
     - strong industrialization

- strong welfare mecanism: for good health,
     good education.
FRANCE IS WELL KNOWN FOR:

   - Very good health system
        - Not very expensive
        - Very efficient
==> Taiwan very impressive for this!

   - Healthy food ( 绿色食品 )
      * Less obesity than western countries
                                    (16.9%, vs US 33.9%)
          nd          st
       * 2 best (1 =Japan) / heart disease death
                           (US=80/100000; France 29/100000)

   - Great life expectancy ( 预期寿命 --- 4th
              among countries with >10M)
FRANCE IS WELL KNOWN FOR:




 Babies!
  嬰兒 !

 ~ 2 babies per
     woman

Much (much!) more than Taiwan
             (why ? 為什麼呢? ).
FRANCE IS WELL KNOWN FOR:


Melting pot: we have
all colors and it's
beautiful!
(Stinky) tofu replaced by
     (stinky) cheese.
Less rice, bread instead.
        Pastries.

  Espresso (best food
    in the world :-) )
th
        5 largest nominal GDP
Thanks to massive dirigisme after WW II
  Something in the middle between US and USSR
         (and with moderate pollution!)
- Air France (1st airline company in the world
          in terms of income)
- EDF = largest utility company
- GDF-Suez = largest energy company
- Veolia = largest environment
          and water company
- Vinci, Bouygues, Eiffage = 1st ,2th,4th
          building / public work companies
- Areva = world leader of nuclear power
- Michelin = world pneumatic leader
- Lafarge = world largest cement company
- EADS = 2nd aerospacial company
- Renault-Nissan = leader of electric cars
th
        5 largest nominal GDP
Thanks to massive dirigisme after WW II
  Something in the middle between US and USSR

- Air France (1st airline company in the world
          in terms of income)
- EDF = largest utility company
- GDF-Suez = largest energy company
- Veolia = largest environment
          and water company
- Vinci, Bouygues, Eiffage = 1st ,2th,4th
          building / public work companies
- Areva = world leader of nuclear power
- Michelin = world pneumatic leader
- Lafarge = world largest cement company
- EADS = 2nd aerospacial company
- Renault-Nissan = leader of electric cars
th
        5 largest nominal GDP
Thanks to massive dirigisme after WW II
  Something in the middle between US and USSR

- Air France (1st airline company in the world
          in terms of income)
- EDF = largest utility company
- GDF-Suez = largest energy company
- Veolia = largest environment
          and water company
- Vinci, Bouygues, Eiffage = 1st ,2th,4th
          building / public work companies
- Areva = world leader of nuclear power
- Michelin = world pneumatic leader
- Lafarge = world largest cement company
- EADS = 2nd aerospacial company
- Renault-Nissan = electric cars
th
        5 largest nominal GDP
Thanks to massive dirigisme after WW II
  Something in the middle between US and USSR

- Air France (1st airline company in the world
          in terms of income)
- EDF = largest utility company
- GDF-Suez = largest energy company
- Veolia = largest environment
          and water company
- Vinci, Bouygues, Eiffage = 1st ,2th,4th
          building / public work companies
- Areva = world leader of nuclear power
- Michelin = world pneumatic leader
- Lafarge = world largest cement company
- EADS = 2nd aerospacial company
- Renault-Nissan = electric cars
th
        5 largest nominal GDP
Thanks to massive dirigisme after WW II
  Something in the middle between US and USSR

- Air France (1st airline company in the world
          in terms of income)
- EDF = largest utility company
- GDF-Suez = largest energy company
- Veolia = largest environment
          and water company
- Vinci, Bouygues, Eiffage = 1st ,2th,4th
          building / public work companies
- Areva = world leader of nuclear power
- Michelin = world pneumatic leader
- Lafarge = world largest cement company
- EADS = 2nd aerospacial company
- Renault-Nissan = electric cars
th
        5 largest nominal GDP
Thanks to massive dirigisme after WW II
  Something in the middle between US and USSR

- Air France (1st airline company in the world
          in terms of income)
- EDF = largest utility company
- GDF-Suez = largest energy company
- Veolia = largest environment
          and water company
         Bouygues, Eiffage = 1st ,2th,4th
- Vinci,We have nuclear
           weapons.
          building / public work companiesWe have nuclear
- Areva = world leader of nuclear power power plants.
- Michelin = world pneumatic leader
- Lafarge = world largest cement company
- EADS = 2nd aerospacial company
- Renault-Nissan = electric cars
th
        5 largest nominal GDP
Thanks to massive dirigisme after WW II
  Something in the middle between US and USSR

- Air France (1st airline company in the world
          in terms of income)
- EDF = largest utility company
- GDF-Suez = largest energy company
- Veolia = largest environment
          and water company
- Vinci, Bouygues, Eiffage = 1st ,2th,4th
          building / public work companies
- Areva = world leader of nuclear power
- Michelin = world pneumatic leader
- Lafarge = world largest cement company
- EADS = 2nd aerospacial company
- Renault-Nissan = electric cars
th
        5 largest nominal GDP
Thanks to massive dirigisme after WW II
  Something in the middle between US and USSR

- Air France (1st airline company in the world
          in terms of income)
- EDF = largest utility company
- GDF-Suez = largest energy company
- Veolia = largest environment
          and water company
- Vinci, Bouygues, Eiffage = 1st ,2th,4th
          building / public work companies
- Areva = world leader of nuclear power
- Michelin = world pneumatic leader
- Lafarge = world largest cement company
- EADS = 2nd aerospacial company
- Renault-Nissan = electric cars
th
        5 largest nominal GDP
Thanks to massive dirigisme after WW II
  Something in the middle between US and USSR

- Air France (1st airline company in the world
          in terms of income)
- EDF = largest utility company
- GDF-Suez = largest energy company
- Veolia = largest environment
          and water company
- Vinci, Bouygues, Eiffage = 1st ,2th,4th
          building / public work inpollution?
                         Paris-Tokyo 2.5 hours
                          without CO2
                                     companies
- Areva = world leader of nuclear power
- Michelin = world pneumatic leader
- Lafarge = world largest cement company
- EADS = 2nd aerospacial company
- Renault-Nissan = electric cars
th
        5 largest nominal GDP
Thanks to massive dirigisme after WW II
  Something in the middle between US and USSR

- Air France (1st airline company in the world
          in terms of income)
- EDF = largest utility company
- GDF-Suez = largest energy company
- Veolia = largest environment
          and water company
- Vinci, Bouygues, Eiffage = 1st ,2th,4th
          building / public work companies
- Areva = world leader of nuclear power
- Michelin = world pneumatic leader
- Lafarge = world largest cement company
- EADS = 2nd aerospacial company
- Renault-Nissan = one of the leaders for electric cars
THE MAIN
  INDUSTRIES IN FRANCE.

FRANCE IS WELL KNOWN FOR:



                    HIGH SPEED
                  WHEELED TRAIN
               (fastest in the world)
              574.8 km/h (357.2 mph).
              (commercial ~ 330km/h)
The French organization of work:

  - Working efficiently, saving up time
       Real GDP per hour of work: France ranks 1st
                         among countries >20M

                       Laws protecting employees;
                         prevent bosses from
                       wasting their employee time.

                       Work is much
                       more collective here
                       in Taiwan (what do
                          you prefer ?).
The French organization of work:

  - Working efficiently, saving up time
       Real GDP per hour of work: France ranks 1st
                         among countries >20M




  - Strong trade unions
     + heavy contests ==> employees protection
       ==> often moderately hierarchic
       ==> good place for working
The French organization of work:

  - Working efficiently, saving up time
       Real GDP per hour of work: France ranks 1st
                         among countries >20M

  - Strong trade unions
     + heavy contests ==> employees protection
       ==> often moderately hierarchic
       ==> good place for working

  - Massive unemployment
     (yes, sorry; not only good news...)
The French organization of work:

  - Working efficiently, saving up time
        Real GDP ( 国内生产总值 ) per hour: France ranks 1st
                        among countries >20M
        ==> tougher professional relations (than in Taiwan)
        ==> strong separation from private life
  - Strong trade unions
     + heavy contests + strikes ==> employees protection
       ==> often moderately hierarchic
       ==> good place for working
                                             Recently I've seen
  - Massive unemployment                    that big contests can
                                           take place in Taiwan :-)
     (yes, sorry; not only good news...)

 (==> Gender gap: better or worse than in Taiwan ?)
Other differences, quickly:

- Much more hierarchy in Taiwan    <==      difficult to
- Far more privacy concerns in France <=    imagine ?


The Boss is more the Boss in Taiwan.
The teacher is more the Boss in Taiwan.
The Boss can invade private life much more in Taiwan.

==> for this I prefer France
==> equality in personal or professional relations
       matters a lot for me
==> my students can (must) tell me that I am wrong
==> I can tell my boss that his job is not well done
Other differences, quickly:

- Much more hierarchy in Taiwan     <==       difficult to
- Far more privacy concerns in France <= imagine ?
- French drivers drive faster
- Taiwanese drivers drive more crazily (no rule :-) )

            France                 Taiwan
Other differences, quickly:

- Much more hierarchy in Taiwan        <==    difficult to
- Far more privacy concerns in France <= imagine ?
- French drivers drive faster
- Taiwanese drivers drive more crazily (no rule :-) )
- French women (slightly) taller (1 %)
- French men (slightly) taller (1.5 %)
- French women heavier (+8% BMI) (US: +23% than tw)
- French men heavier (+6% BMI)           (US: +16% than tw)
Other differences, quickly:

- Much more hierarchy in Taiwan        <==    difficult to
- Far more privacy concerns in France <= imagine ?
- French drivers drive faster
- Taiwanese drivers drive more crazily (no rule :-) )
- French women (slightly) taller (1 %)
- French men (slightly) taller (1.5 %)
- French women heavier (+8% BMI) (US: +23% than tw)
- French men heavier (+6% BMI)           (US: +16% than tw)
- Taiwanese people smile more (personal observation :-) )
Other differences, quickly:

- Much more hierarchy in Taiwan        <==     difficult to
- Far more privacy concerns in France <= imagine ?
- French drivers drive faster
- Taiwanese drivers drive more crazily (no rule :-) )
- French women (slightly) taller (1 %)
- French men (slightly) taller (1.5 %)
- French women heavier (+8% BMI) (US: +23% than tw)
- French men heavier (+6% BMI)           (US: +16% than tw)
- Taiwanese people smile more (personal observation :-) )
- More criminality in France (but far less than US)
- Taiwan has less very poor people (“poverty line”)
                             (Taiwan is ranked 1st by
                       wikipedia/ CIA factbook for this...)
UNIVERSITE PARIS-SUD + INRIA

    Olivier Teytaud --- olivier.teytaud@inria.fr


    1) France

    2) Université Paris-Sud & Inria

    3) My laboratory & team

    4) My research

NUTN, Tainan, 2012
FRENCH UNIVERSITIES

    Widely said: the French educative system is “elitist”.
    Top 5%, 10% are very good.
    But average not very good.
    Crucial difference (see PISA):
       - Top performance in France is very good.
       - Average performance in Taiwan is very good.
      ==> maybe this is why less
          criminality/unemployment in Taiwan ?

    Strong focus on maths in France (more
    than Comp Science).

    The “Prépas” system: the best students don't go
     to universities, except possibly for master / ph.D;
                         they go to some elitist schools.
NUTN, Tainan, 2012
FOCUS ON MATHS ?
  THE FIELDS MEDALS “NOBEL OF MATHS”
  United States

  France
  USSR/Russia

  UK
  Japan
  Belgium

  Great performance for just 60M inhabitants.
  Question: Is it a good idea to focus so much on maths ?
NUTN, Tainan, 2011
OTHER DOMAINS ?
Nobel prizes per habitant ~ good, but less surprising




NUTN, Tainan, 2011
Université
Paris-Sud + Inria
       In Université Paris-Sud
           Largest campus in France
           But small because French universities are small
           Many Nobel Prize / Fields medals
           Faculty of sciences: mathematics, computer
            science, physics, chemistry, biology, earth and
            space sciences ==> 12000 students
       Inria affiliation:
           > 50 years old
           Devoted to research in comp. science, with a focus
             on link with applications and society
Université
Paris-Sud + Inria
       In Université Paris-Sud
           Largest campus in France
           But small because French universities are small
           Many Nobel Prize / Fields medals
           Faculty of sciences: mathematics, computer
            science, physics, chemistry, biology, earth and
            space sciences ==> 12000 students
       Inria affiliation:
           > 50 years old
           Devoted to research in comp. science, with a focus
             on link with applications and society
Université Paris-Sud
    Goes back to research in nuclear power and
     chemistry after world war II ==> France wanted its
     independence        (De Gaulle and others)
    30 000 students
    Largest campus in France
    But small compared to big universities because
     French universities are small (but good :-) )
    Many Nobel Prize / Fields medals
    Faculty of sciences: mathematics, computer
     science, physics, chemistry, biology, earth and
     space sciences ==> 12000 students
Université Paris-Sud

  Sorry, it's in Ile-De-France (Paris suburbs)
       ==> life is expensive
       ==> but ph.D. salary clearly enough for living
             (...not if you have children with you...)
  ==> Many strong people in Ile-De-France.
  ==> Many great industries around there.


  Our most famous schools are in Ile-De-France.
  Those who want to do research often
  join our master.
  Excellent level in master and ph.D.
Université Paris-Sud
  For internships or ph.D., English is ok.
  For master, French requested (sorry for that), except
  some masters (molecular imaging, nuclear energy,
  astrophysics, nanosciences, www.u-
  psud.fr/en/index.html):
  But French can be helpful:
             1. Mandarin Chinese (1.12 billion)
             2. English (480 million)
             3. Spanish (320 million)
             4. Russian (285 million)
             5. French (270 million) ==> and future is ensured by
                Africa; and Spanish is somehow close to French
  IMPORTANT: no use speaking French for ph.D. or
   for internships.
Most influential languages.
Moreover, Spanish and French are very related.




                               These statistics go
                             back to 1990's... today
                             Chinese would probably
                                 be much higher
                                    ranked!
ALREADY
COLLABORATIONS WITH
NUTN: GAME OF GO

We did plenty of good stuff
   with NUTN around
    the game of Go.
This will stay in computer
     science history.

   More France-Taiwan
   collaboration would
        be good :-)
UNIVERSITE PARIS-SUD + INRIA

Olivier Teytaud --- olivier.teytaud@inria.fr


1) France

2) Université Paris-Sud & Inria

3) My laboratory & team

4) My research
NUTN, Tainan, 2011
MY LAB:

 LRI                   (115 permanent staff)


 Depends on:

- CNRS                 (best research institute in
                       the world for the SCImago
                        Ranking)


- INRIA                       (more focus on links
                               with real world and
                                Economy – this is less
                                usual in France -
Université Paris-Sud               than in Taiwan)
INRIA


- dedicated to computer-science and automation

- full-time researchers

- highly selective

- you've done great things in research ==> join!

- students: you have very good marks, apply for a
         ph.D. funding in Inria!

- you don't have to speak French
MY TEAM: TAO http://tao.lri.fr
●   Artificial intelligence / operations research / optimization
●   No protocol: no invading hierarchy, not much time lost in
     boring useless meetings
●   Theory and applications
●   Many full-time researchers
●   Many ph.D. students, coming from famous schools
●   Already had students speaking Chinese
● Great freedom for doing important research ===> don't come
if you don't like to decide yourself what you do

==> the only drawback is that it is in Paris (life
       more expensive than everywhere else in France)
Executive summary
● I like both Taiwan and France, for different

reasons
      ●   Taiwan has a great educative system for all
      ●   France has a great educative system for the best
      ●   Both countries have big (distinct) strong industries
      ●   Important cultural differences
             ● Taiwanese politeness = being friendly, asking questions

             ● French politness = respecting privacy/freedom

               (e.g. in France, don't touch children of people you don't
               know, don't ask too much questions on private life)

●   Taiwan and France have complementary qualities
    ==> double culture makes sense

●   You don't have to speak French for a ph.D. / internship

●   All questions/comments welcome (including
       flames :-) ), also email olivier.teytaud@inria.fr
A BIT MORE
TECHNICAL NOW
COMPUTATIONAL
 INTELLIGENCE
 Helping computers to
   make decisions


   ( 人工智能 )
Contains:

 - statistics ( 统计学 )

- optimization ( 最优化 )
My research contains
maths, methodologies (algorithms),
          applications.

      I think applications are
          easier to discuss

  So I'll discuss one application
  here: electricity management.
              輸電網路
French energy company EDF:

- world’s largest utility company.

- 120,000+ megawatts in Europe,
      Latin America, Asia,
      the Middle-East and Africa.

- Controls companies in all
      continents.

- France wants to increase
    energetic independence (Taiwan also ?)
ELECTRICITY GENERATION
in FRANCE




  France =
world champion
  of nuclear
 power plant
  ( 核电站 )
ELECTRICITY GENERATION
in FRANCE – also hydroelectricity
FUTURE EXTENSIONS:
  CONNECTIONS TO THE NORTH OF EUROPE ?
  CONNECTIONS TO AFRICA ?
      Using North-Euope wind in winter ?
      Using Africa's wind in summer ?
  MORE NUCLEAR POWER ?
      because currently coal / oil kill more people
      than nuclear power ?
      and because no earthquake and no tsunami ?

  OR NO MORE NUCLEAR POWER ?
       because we never know what could happen
       (terrorism ?)
A RISK: SOMETHING LIKE
THE 2003 BLACK OUT IN US
We had similar stuff (smaller)
ANOTHER RISK: LACK OF WATER
(DROUGHT)
                            (nuclear power plants
                              cooled by water)




               E.g. the terrible 2003 heat wave
                 (15 000 died; 6.2 times more
               than 921 earthquake in Taiwan)
               (a night with no less than 25°C)
              ==> close to electricity breakdown!
Consider a power grid.
       There are on the grid:
       - electricity producers;
      - electricity consumers.

    First, you must ensure that
      Production = Demand,
  under constraint “no congestion”.

 This is short time unit commitment.
Actions= increase or decrease power.
If production > demand,
the rotor is too fast, possible destruction.




          If production < demand,
the rotor is too slow, possible destruction.
This was infra-day.
Longer term: which power plants should
     I switch on / off these days ?

==> optimization problem
==> minimize production cost,
  under constraint demand=production
==> optimization
==> weakly uncertain
Annual and pluri-annual.
When should I organize maintenance ?

     When should I use my stocks
          (which stocks ?).

Should I use hydroelectricity in spring ?

 Should I store electricity ? (pumping)
Annual and pluri-annual.
           Should I pump ?


          ==> storing electricity
             by pumping when
             low price
Annual and pluri-annual.
==> Optimization with big uncertainties:
- energy prices
- inflows (rain, snow) for hydroelectricity
- demand (economy)

==> Multistage: my actions will depend
           on observations.
Long term (50 years)
                  ==> developing renewables ?
      (requires smart grids, for helping production=demand)

Taiwan seemingly
 very advanced
                          ==> energy savings
  in smart grids        (see elasticity to prices)

              ==> supergrids: connecting the world for
                       smoothing peaks ?

                     ==> building new power plants
                     (Nuclear ? Coal ? Wind farms)

                   Long term optimization with
                       huge uncertainties
Taiwan: HVDC connections to other countries ?




                                Scientists and engineers
                                can certainly not decide
                                     if a connection
                                    should be built,
                                  but they can explain
                                       the technical
                                    consequences.
DesertTec – a supergrid (         超級電網 )




DESERTEC officials say the project could one day deliver 15 percent
of Europe's electricity and a considerable part of MENA's electricity
Demand.
Comment by an (anonymous :-) ) Taiwanese expert: it will never work.
Optimization: finding x such that f(x) is
             minimum and x in D

           Statistics: modelizing climate,
 elasticity (= to which extent demand decreases
                when prices increase)

           Multistage optimization:
      choosing a policy P so that we make
     decision P(x) when we observe state x

Expertise in electricity: modelizing power plants,
   collecting possible scenarios for the future.
We also work on
      the game of Go ( 围棋 ).
               Why ?
  Go (and other games) are similar
 to decision making in power grids.

Both involve decision making, several
      time steps, uncertainties.
We also work on the game of Go.
                Why ?
- because people trust us when we do a
big performance in Go; whereas nobody
         cares about results on
    complicated models of electricity.
 - because experiment on Go is great:
    nobody will die or lose 1 billion $
        if we do a big mistake

    - because Go is a fascinating
    artificial intelligence challenge
The game of Go is a part of AI (artificial intelligence).
Computers are ridiculous in front of children.



                                            Easy situation.
                                           Termed “semeai”.
                                           Requires a little bit
                                            of abstraction.




                                                                   72
The game of Go is a part of AI.
Computers are ridiculous in front of children.


                                          800 cores, 4.7 GHz,
                                           top level program.

                                          Plays a stupid move.




                                                                 73
The game of Go is a part of AI.
Computers are ridiculous in front of children.
                                       A 6 years old child can
                                       solve it; and there are
                                      11 years old professional
                                               players




                                                            74
I just love my job.
     Research. Big applications.
   I work on this mainly in France.
Maybe a future for this work in Taiwan
 (electricity is important currently in
   Taiwan, and in all the world...).

               Like it ?
     Apply for internships / ph.D.
              in France.
     Don't have to speak French.          75
I have spent 1 year in Taiwan,
  but Taiwan still surprises me a lot.

  For example, I was very surprised
by recent contests in Taipei; I believed
that Taiwanese people did not contest.

Sometimes Taiwan looks like a country
 with plenty of strict rules; but on road
             there's no rule.

 Comments on this talk are more than
welcome. I am curious about Taiwan :-)

               olivier.teytaud@gmailcom
                                            76

Weitere ähnliche Inhalte

Andere mochten auch

Ilab Metis: we optimize power systems and we are not afraid of direct policy ...
Ilab Metis: we optimize power systems and we are not afraid of direct policy ...Ilab Metis: we optimize power systems and we are not afraid of direct policy ...
Ilab Metis: we optimize power systems and we are not afraid of direct policy ...Olivier Teytaud
 
Tools for artificial intelligence: EXP3, Zermelo algorithm, Alpha-Beta, and s...
Tools for artificial intelligence: EXP3, Zermelo algorithm, Alpha-Beta, and s...Tools for artificial intelligence: EXP3, Zermelo algorithm, Alpha-Beta, and s...
Tools for artificial intelligence: EXP3, Zermelo algorithm, Alpha-Beta, and s...Olivier Teytaud
 
Games with partial information
Games with partial informationGames with partial information
Games with partial informationOlivier Teytaud
 
Provocative statements around energy
Provocative statements around energyProvocative statements around energy
Provocative statements around energyOlivier Teytaud
 
Noisy Optimization combining Bandits and Evolutionary Algorithms
Noisy Optimization combining Bandits and Evolutionary AlgorithmsNoisy Optimization combining Bandits and Evolutionary Algorithms
Noisy Optimization combining Bandits and Evolutionary AlgorithmsOlivier Teytaud
 
Artificial Intelligence and Optimization with Parallelism
Artificial Intelligence and Optimization with ParallelismArtificial Intelligence and Optimization with Parallelism
Artificial Intelligence and Optimization with ParallelismOlivier Teytaud
 
Optimization of power systems - old and new tools
Optimization of power systems - old and new toolsOptimization of power systems - old and new tools
Optimization of power systems - old and new toolsOlivier Teytaud
 
Artificial intelligence and blind Go
Artificial intelligence and blind GoArtificial intelligence and blind Go
Artificial intelligence and blind GoOlivier Teytaud
 

Andere mochten auch (10)

Ilab Metis: we optimize power systems and we are not afraid of direct policy ...
Ilab Metis: we optimize power systems and we are not afraid of direct policy ...Ilab Metis: we optimize power systems and we are not afraid of direct policy ...
Ilab Metis: we optimize power systems and we are not afraid of direct policy ...
 
Tools for artificial intelligence: EXP3, Zermelo algorithm, Alpha-Beta, and s...
Tools for artificial intelligence: EXP3, Zermelo algorithm, Alpha-Beta, and s...Tools for artificial intelligence: EXP3, Zermelo algorithm, Alpha-Beta, and s...
Tools for artificial intelligence: EXP3, Zermelo algorithm, Alpha-Beta, and s...
 
Games with partial information
Games with partial informationGames with partial information
Games with partial information
 
Provocative statements around energy
Provocative statements around energyProvocative statements around energy
Provocative statements around energy
 
Tutorialmcts
TutorialmctsTutorialmcts
Tutorialmcts
 
Noisy Optimization combining Bandits and Evolutionary Algorithms
Noisy Optimization combining Bandits and Evolutionary AlgorithmsNoisy Optimization combining Bandits and Evolutionary Algorithms
Noisy Optimization combining Bandits and Evolutionary Algorithms
 
Theory of games
Theory of gamesTheory of games
Theory of games
 
Artificial Intelligence and Optimization with Parallelism
Artificial Intelligence and Optimization with ParallelismArtificial Intelligence and Optimization with Parallelism
Artificial Intelligence and Optimization with Parallelism
 
Optimization of power systems - old and new tools
Optimization of power systems - old and new toolsOptimization of power systems - old and new tools
Optimization of power systems - old and new tools
 
Artificial intelligence and blind Go
Artificial intelligence and blind GoArtificial intelligence and blind Go
Artificial intelligence and blind Go
 

Kürzlich hochgeladen

On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsMebane Rash
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxnegromaestrong
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...christianmathematics
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docxPoojaSen20
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseAnaAcapella
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxRamakrishna Reddy Bijjam
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxDenish Jangid
 
Third Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptxThird Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptxAmita Gupta
 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentationcamerronhm
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxVishalSingh1417
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxVishalSingh1417
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...ZurliaSoop
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSCeline George
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibitjbellavia9
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfSherif Taha
 
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17Celine George
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfNirmal Dwivedi
 
Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Association for Project Management
 

Kürzlich hochgeladen (20)

On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docx
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
Third Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptxThird Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptx
 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentation
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
Spatium Project Simulation student brief
Spatium Project Simulation student briefSpatium Project Simulation student brief
Spatium Project Simulation student brief
 
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...
 

The game of Go and energy; two nice computational intelligence problems (with presentation of France as an introduction)

  • 1. FRANCE, CULTURE, INDUSTRY, RESEARCH Olivier Teytaud --- olivier.teytaud@inria.fr 1) France I just *love* Taiwan. I will try to convince you that you can love France as well :-) 2) Université Paris-Sud & Inria 3) My laboratory 4) My research NUTN, Tainan, 2012
  • 2. FRANCE HISTORY IN A NUTSHELL: Humans arrived in -1 800 000 Old days: 阿斯泰利克斯历险记 Greeks, Romans, Celts, Gauls
  • 3. FRANCE HISTORY IN A NUTSHELL: Humans arrived in -1 800 000 Old days: 阿斯泰利克斯历险记 Greeks, Romans, Celts, Gauls Middle-age
  • 4. FRANCE HISTORY IN A NUTSHELL: Humans arrived in -1 800 000 Old days: 阿斯泰利克斯历险记 Greeks, Romans, Celts, Gauls Middle-age <= Modern history
  • 5. FRANCE HISTORY IN A NUTSHELL: Humans arrived in -1 800 000 Old days: 阿斯泰利克斯历险记 Greeks, Romans, Celts, Gauls Middle-age <= Modern history Contemporary era => ( 現代史 )
  • 7. FRANCE GEOGRAPHY IN A NUTSHELL: First country in terms of number of time zones The sun is 24/24 above France (only France and UK have this property). Big ocean surface thanks to small French islands everywhere in the world.
  • 8. FRANCE HISTORY IN A NUTSHELL: After world war II: - France was destroyed by two successive wars on its land - very strong dirigism decided for: - military independence - energy independence - strong industrialization - strong welfare mecanism: for good health, good education.
  • 9. FRANCE HISTORY IN A NUTSHELL: After world war II: - France was destroyed by two successive wars on its land - very strong dirigism (state influence) decided for: - military independence (nuclear weapons, no more military service) - energy independence - strong industrialization - strong welfare mecanism: for good health, good education.
  • 10. FRANCE IS WELL KNOWN FOR: - Very good health system - Not very expensive - Very efficient ==> Taiwan very impressive for this! - Healthy food ( 绿色食品 ) * Less obesity than western countries (16.9%, vs US 33.9%) nd st * 2 best (1 =Japan) / heart disease death (US=80/100000; France 29/100000) - Great life expectancy ( 预期寿命 --- 4th among countries with >10M)
  • 11. FRANCE IS WELL KNOWN FOR: Babies! 嬰兒 ! ~ 2 babies per woman Much (much!) more than Taiwan (why ? 為什麼呢? ).
  • 12. FRANCE IS WELL KNOWN FOR: Melting pot: we have all colors and it's beautiful!
  • 13. (Stinky) tofu replaced by (stinky) cheese. Less rice, bread instead. Pastries. Espresso (best food in the world :-) )
  • 14. th 5 largest nominal GDP Thanks to massive dirigisme after WW II Something in the middle between US and USSR (and with moderate pollution!) - Air France (1st airline company in the world in terms of income) - EDF = largest utility company - GDF-Suez = largest energy company - Veolia = largest environment and water company - Vinci, Bouygues, Eiffage = 1st ,2th,4th building / public work companies - Areva = world leader of nuclear power - Michelin = world pneumatic leader - Lafarge = world largest cement company - EADS = 2nd aerospacial company - Renault-Nissan = leader of electric cars
  • 15. th 5 largest nominal GDP Thanks to massive dirigisme after WW II Something in the middle between US and USSR - Air France (1st airline company in the world in terms of income) - EDF = largest utility company - GDF-Suez = largest energy company - Veolia = largest environment and water company - Vinci, Bouygues, Eiffage = 1st ,2th,4th building / public work companies - Areva = world leader of nuclear power - Michelin = world pneumatic leader - Lafarge = world largest cement company - EADS = 2nd aerospacial company - Renault-Nissan = leader of electric cars
  • 16. th 5 largest nominal GDP Thanks to massive dirigisme after WW II Something in the middle between US and USSR - Air France (1st airline company in the world in terms of income) - EDF = largest utility company - GDF-Suez = largest energy company - Veolia = largest environment and water company - Vinci, Bouygues, Eiffage = 1st ,2th,4th building / public work companies - Areva = world leader of nuclear power - Michelin = world pneumatic leader - Lafarge = world largest cement company - EADS = 2nd aerospacial company - Renault-Nissan = electric cars
  • 17. th 5 largest nominal GDP Thanks to massive dirigisme after WW II Something in the middle between US and USSR - Air France (1st airline company in the world in terms of income) - EDF = largest utility company - GDF-Suez = largest energy company - Veolia = largest environment and water company - Vinci, Bouygues, Eiffage = 1st ,2th,4th building / public work companies - Areva = world leader of nuclear power - Michelin = world pneumatic leader - Lafarge = world largest cement company - EADS = 2nd aerospacial company - Renault-Nissan = electric cars
  • 18. th 5 largest nominal GDP Thanks to massive dirigisme after WW II Something in the middle between US and USSR - Air France (1st airline company in the world in terms of income) - EDF = largest utility company - GDF-Suez = largest energy company - Veolia = largest environment and water company - Vinci, Bouygues, Eiffage = 1st ,2th,4th building / public work companies - Areva = world leader of nuclear power - Michelin = world pneumatic leader - Lafarge = world largest cement company - EADS = 2nd aerospacial company - Renault-Nissan = electric cars
  • 19. th 5 largest nominal GDP Thanks to massive dirigisme after WW II Something in the middle between US and USSR - Air France (1st airline company in the world in terms of income) - EDF = largest utility company - GDF-Suez = largest energy company - Veolia = largest environment and water company Bouygues, Eiffage = 1st ,2th,4th - Vinci,We have nuclear weapons. building / public work companiesWe have nuclear - Areva = world leader of nuclear power power plants. - Michelin = world pneumatic leader - Lafarge = world largest cement company - EADS = 2nd aerospacial company - Renault-Nissan = electric cars
  • 20. th 5 largest nominal GDP Thanks to massive dirigisme after WW II Something in the middle between US and USSR - Air France (1st airline company in the world in terms of income) - EDF = largest utility company - GDF-Suez = largest energy company - Veolia = largest environment and water company - Vinci, Bouygues, Eiffage = 1st ,2th,4th building / public work companies - Areva = world leader of nuclear power - Michelin = world pneumatic leader - Lafarge = world largest cement company - EADS = 2nd aerospacial company - Renault-Nissan = electric cars
  • 21. th 5 largest nominal GDP Thanks to massive dirigisme after WW II Something in the middle between US and USSR - Air France (1st airline company in the world in terms of income) - EDF = largest utility company - GDF-Suez = largest energy company - Veolia = largest environment and water company - Vinci, Bouygues, Eiffage = 1st ,2th,4th building / public work companies - Areva = world leader of nuclear power - Michelin = world pneumatic leader - Lafarge = world largest cement company - EADS = 2nd aerospacial company - Renault-Nissan = electric cars
  • 22. th 5 largest nominal GDP Thanks to massive dirigisme after WW II Something in the middle between US and USSR - Air France (1st airline company in the world in terms of income) - EDF = largest utility company - GDF-Suez = largest energy company - Veolia = largest environment and water company - Vinci, Bouygues, Eiffage = 1st ,2th,4th building / public work inpollution? Paris-Tokyo 2.5 hours without CO2 companies - Areva = world leader of nuclear power - Michelin = world pneumatic leader - Lafarge = world largest cement company - EADS = 2nd aerospacial company - Renault-Nissan = electric cars
  • 23. th 5 largest nominal GDP Thanks to massive dirigisme after WW II Something in the middle between US and USSR - Air France (1st airline company in the world in terms of income) - EDF = largest utility company - GDF-Suez = largest energy company - Veolia = largest environment and water company - Vinci, Bouygues, Eiffage = 1st ,2th,4th building / public work companies - Areva = world leader of nuclear power - Michelin = world pneumatic leader - Lafarge = world largest cement company - EADS = 2nd aerospacial company - Renault-Nissan = one of the leaders for electric cars
  • 24. THE MAIN INDUSTRIES IN FRANCE. FRANCE IS WELL KNOWN FOR: HIGH SPEED WHEELED TRAIN (fastest in the world) 574.8 km/h (357.2 mph). (commercial ~ 330km/h)
  • 25. The French organization of work: - Working efficiently, saving up time Real GDP per hour of work: France ranks 1st among countries >20M Laws protecting employees; prevent bosses from wasting their employee time. Work is much more collective here in Taiwan (what do you prefer ?).
  • 26. The French organization of work: - Working efficiently, saving up time Real GDP per hour of work: France ranks 1st among countries >20M - Strong trade unions + heavy contests ==> employees protection ==> often moderately hierarchic ==> good place for working
  • 27. The French organization of work: - Working efficiently, saving up time Real GDP per hour of work: France ranks 1st among countries >20M - Strong trade unions + heavy contests ==> employees protection ==> often moderately hierarchic ==> good place for working - Massive unemployment (yes, sorry; not only good news...)
  • 28. The French organization of work: - Working efficiently, saving up time Real GDP ( 国内生产总值 ) per hour: France ranks 1st among countries >20M ==> tougher professional relations (than in Taiwan) ==> strong separation from private life - Strong trade unions + heavy contests + strikes ==> employees protection ==> often moderately hierarchic ==> good place for working Recently I've seen - Massive unemployment that big contests can take place in Taiwan :-) (yes, sorry; not only good news...) (==> Gender gap: better or worse than in Taiwan ?)
  • 29. Other differences, quickly: - Much more hierarchy in Taiwan <== difficult to - Far more privacy concerns in France <= imagine ? The Boss is more the Boss in Taiwan. The teacher is more the Boss in Taiwan. The Boss can invade private life much more in Taiwan. ==> for this I prefer France ==> equality in personal or professional relations matters a lot for me ==> my students can (must) tell me that I am wrong ==> I can tell my boss that his job is not well done
  • 30. Other differences, quickly: - Much more hierarchy in Taiwan <== difficult to - Far more privacy concerns in France <= imagine ? - French drivers drive faster - Taiwanese drivers drive more crazily (no rule :-) ) France Taiwan
  • 31. Other differences, quickly: - Much more hierarchy in Taiwan <== difficult to - Far more privacy concerns in France <= imagine ? - French drivers drive faster - Taiwanese drivers drive more crazily (no rule :-) ) - French women (slightly) taller (1 %) - French men (slightly) taller (1.5 %) - French women heavier (+8% BMI) (US: +23% than tw) - French men heavier (+6% BMI) (US: +16% than tw)
  • 32. Other differences, quickly: - Much more hierarchy in Taiwan <== difficult to - Far more privacy concerns in France <= imagine ? - French drivers drive faster - Taiwanese drivers drive more crazily (no rule :-) ) - French women (slightly) taller (1 %) - French men (slightly) taller (1.5 %) - French women heavier (+8% BMI) (US: +23% than tw) - French men heavier (+6% BMI) (US: +16% than tw) - Taiwanese people smile more (personal observation :-) )
  • 33. Other differences, quickly: - Much more hierarchy in Taiwan <== difficult to - Far more privacy concerns in France <= imagine ? - French drivers drive faster - Taiwanese drivers drive more crazily (no rule :-) ) - French women (slightly) taller (1 %) - French men (slightly) taller (1.5 %) - French women heavier (+8% BMI) (US: +23% than tw) - French men heavier (+6% BMI) (US: +16% than tw) - Taiwanese people smile more (personal observation :-) ) - More criminality in France (but far less than US) - Taiwan has less very poor people (“poverty line”) (Taiwan is ranked 1st by wikipedia/ CIA factbook for this...)
  • 34. UNIVERSITE PARIS-SUD + INRIA Olivier Teytaud --- olivier.teytaud@inria.fr 1) France 2) Université Paris-Sud & Inria 3) My laboratory & team 4) My research NUTN, Tainan, 2012
  • 35. FRENCH UNIVERSITIES Widely said: the French educative system is “elitist”. Top 5%, 10% are very good. But average not very good. Crucial difference (see PISA): - Top performance in France is very good. - Average performance in Taiwan is very good. ==> maybe this is why less criminality/unemployment in Taiwan ? Strong focus on maths in France (more than Comp Science). The “Prépas” system: the best students don't go to universities, except possibly for master / ph.D; they go to some elitist schools. NUTN, Tainan, 2012
  • 36. FOCUS ON MATHS ? THE FIELDS MEDALS “NOBEL OF MATHS” United States France USSR/Russia UK Japan Belgium Great performance for just 60M inhabitants. Question: Is it a good idea to focus so much on maths ? NUTN, Tainan, 2011
  • 37. OTHER DOMAINS ? Nobel prizes per habitant ~ good, but less surprising NUTN, Tainan, 2011
  • 38. Université Paris-Sud + Inria  In Université Paris-Sud  Largest campus in France  But small because French universities are small  Many Nobel Prize / Fields medals  Faculty of sciences: mathematics, computer science, physics, chemistry, biology, earth and space sciences ==> 12000 students  Inria affiliation:  > 50 years old  Devoted to research in comp. science, with a focus on link with applications and society
  • 39. Université Paris-Sud + Inria  In Université Paris-Sud  Largest campus in France  But small because French universities are small  Many Nobel Prize / Fields medals  Faculty of sciences: mathematics, computer science, physics, chemistry, biology, earth and space sciences ==> 12000 students  Inria affiliation:  > 50 years old  Devoted to research in comp. science, with a focus on link with applications and society
  • 40. Université Paris-Sud  Goes back to research in nuclear power and chemistry after world war II ==> France wanted its independence (De Gaulle and others)  30 000 students  Largest campus in France  But small compared to big universities because French universities are small (but good :-) )  Many Nobel Prize / Fields medals  Faculty of sciences: mathematics, computer science, physics, chemistry, biology, earth and space sciences ==> 12000 students
  • 41. Université Paris-Sud Sorry, it's in Ile-De-France (Paris suburbs) ==> life is expensive ==> but ph.D. salary clearly enough for living (...not if you have children with you...) ==> Many strong people in Ile-De-France. ==> Many great industries around there. Our most famous schools are in Ile-De-France. Those who want to do research often join our master. Excellent level in master and ph.D.
  • 42. Université Paris-Sud For internships or ph.D., English is ok. For master, French requested (sorry for that), except some masters (molecular imaging, nuclear energy, astrophysics, nanosciences, www.u- psud.fr/en/index.html): But French can be helpful:  1. Mandarin Chinese (1.12 billion)  2. English (480 million)  3. Spanish (320 million)  4. Russian (285 million)  5. French (270 million) ==> and future is ensured by Africa; and Spanish is somehow close to French IMPORTANT: no use speaking French for ph.D. or for internships.
  • 43. Most influential languages. Moreover, Spanish and French are very related. These statistics go back to 1990's... today Chinese would probably be much higher ranked!
  • 44. ALREADY COLLABORATIONS WITH NUTN: GAME OF GO We did plenty of good stuff with NUTN around the game of Go. This will stay in computer science history. More France-Taiwan collaboration would be good :-)
  • 45. UNIVERSITE PARIS-SUD + INRIA Olivier Teytaud --- olivier.teytaud@inria.fr 1) France 2) Université Paris-Sud & Inria 3) My laboratory & team 4) My research NUTN, Tainan, 2011
  • 46. MY LAB: LRI (115 permanent staff) Depends on: - CNRS (best research institute in the world for the SCImago Ranking) - INRIA (more focus on links with real world and Economy – this is less usual in France - Université Paris-Sud than in Taiwan)
  • 47. INRIA - dedicated to computer-science and automation - full-time researchers - highly selective - you've done great things in research ==> join! - students: you have very good marks, apply for a ph.D. funding in Inria! - you don't have to speak French
  • 48. MY TEAM: TAO http://tao.lri.fr ● Artificial intelligence / operations research / optimization ● No protocol: no invading hierarchy, not much time lost in boring useless meetings ● Theory and applications ● Many full-time researchers ● Many ph.D. students, coming from famous schools ● Already had students speaking Chinese ● Great freedom for doing important research ===> don't come if you don't like to decide yourself what you do ==> the only drawback is that it is in Paris (life more expensive than everywhere else in France)
  • 49. Executive summary ● I like both Taiwan and France, for different reasons ● Taiwan has a great educative system for all ● France has a great educative system for the best ● Both countries have big (distinct) strong industries ● Important cultural differences ● Taiwanese politeness = being friendly, asking questions ● French politness = respecting privacy/freedom (e.g. in France, don't touch children of people you don't know, don't ask too much questions on private life) ● Taiwan and France have complementary qualities ==> double culture makes sense ● You don't have to speak French for a ph.D. / internship ● All questions/comments welcome (including flames :-) ), also email olivier.teytaud@inria.fr
  • 51. COMPUTATIONAL INTELLIGENCE Helping computers to make decisions ( 人工智能 )
  • 52. Contains: - statistics ( 统计学 ) - optimization ( 最优化 )
  • 53. My research contains maths, methodologies (algorithms), applications. I think applications are easier to discuss So I'll discuss one application here: electricity management. 輸電網路
  • 54. French energy company EDF: - world’s largest utility company. - 120,000+ megawatts in Europe, Latin America, Asia, the Middle-East and Africa. - Controls companies in all continents. - France wants to increase energetic independence (Taiwan also ?)
  • 55. ELECTRICITY GENERATION in FRANCE France = world champion of nuclear power plant ( 核电站 )
  • 56. ELECTRICITY GENERATION in FRANCE – also hydroelectricity
  • 57. FUTURE EXTENSIONS: CONNECTIONS TO THE NORTH OF EUROPE ? CONNECTIONS TO AFRICA ? Using North-Euope wind in winter ? Using Africa's wind in summer ? MORE NUCLEAR POWER ? because currently coal / oil kill more people than nuclear power ? and because no earthquake and no tsunami ? OR NO MORE NUCLEAR POWER ? because we never know what could happen (terrorism ?)
  • 58. A RISK: SOMETHING LIKE THE 2003 BLACK OUT IN US We had similar stuff (smaller)
  • 59. ANOTHER RISK: LACK OF WATER (DROUGHT) (nuclear power plants cooled by water) E.g. the terrible 2003 heat wave (15 000 died; 6.2 times more than 921 earthquake in Taiwan) (a night with no less than 25°C) ==> close to electricity breakdown!
  • 60. Consider a power grid. There are on the grid: - electricity producers; - electricity consumers. First, you must ensure that Production = Demand, under constraint “no congestion”. This is short time unit commitment. Actions= increase or decrease power.
  • 61. If production > demand, the rotor is too fast, possible destruction. If production < demand, the rotor is too slow, possible destruction.
  • 62. This was infra-day. Longer term: which power plants should I switch on / off these days ? ==> optimization problem ==> minimize production cost, under constraint demand=production ==> optimization ==> weakly uncertain
  • 63. Annual and pluri-annual. When should I organize maintenance ? When should I use my stocks (which stocks ?). Should I use hydroelectricity in spring ? Should I store electricity ? (pumping)
  • 64. Annual and pluri-annual. Should I pump ? ==> storing electricity by pumping when low price
  • 65. Annual and pluri-annual. ==> Optimization with big uncertainties: - energy prices - inflows (rain, snow) for hydroelectricity - demand (economy) ==> Multistage: my actions will depend on observations.
  • 66. Long term (50 years) ==> developing renewables ? (requires smart grids, for helping production=demand) Taiwan seemingly very advanced ==> energy savings in smart grids (see elasticity to prices) ==> supergrids: connecting the world for smoothing peaks ? ==> building new power plants (Nuclear ? Coal ? Wind farms) Long term optimization with huge uncertainties
  • 67. Taiwan: HVDC connections to other countries ? Scientists and engineers can certainly not decide if a connection should be built, but they can explain the technical consequences.
  • 68. DesertTec – a supergrid ( 超級電網 ) DESERTEC officials say the project could one day deliver 15 percent of Europe's electricity and a considerable part of MENA's electricity Demand. Comment by an (anonymous :-) ) Taiwanese expert: it will never work.
  • 69. Optimization: finding x such that f(x) is minimum and x in D Statistics: modelizing climate, elasticity (= to which extent demand decreases when prices increase) Multistage optimization: choosing a policy P so that we make decision P(x) when we observe state x Expertise in electricity: modelizing power plants, collecting possible scenarios for the future.
  • 70. We also work on the game of Go ( 围棋 ). Why ? Go (and other games) are similar to decision making in power grids. Both involve decision making, several time steps, uncertainties.
  • 71. We also work on the game of Go. Why ? - because people trust us when we do a big performance in Go; whereas nobody cares about results on complicated models of electricity. - because experiment on Go is great: nobody will die or lose 1 billion $ if we do a big mistake - because Go is a fascinating artificial intelligence challenge
  • 72. The game of Go is a part of AI (artificial intelligence). Computers are ridiculous in front of children. Easy situation. Termed “semeai”. Requires a little bit of abstraction. 72
  • 73. The game of Go is a part of AI. Computers are ridiculous in front of children. 800 cores, 4.7 GHz, top level program. Plays a stupid move. 73
  • 74. The game of Go is a part of AI. Computers are ridiculous in front of children. A 6 years old child can solve it; and there are 11 years old professional players 74
  • 75. I just love my job. Research. Big applications. I work on this mainly in France. Maybe a future for this work in Taiwan (electricity is important currently in Taiwan, and in all the world...). Like it ? Apply for internships / ph.D. in France. Don't have to speak French. 75
  • 76. I have spent 1 year in Taiwan, but Taiwan still surprises me a lot. For example, I was very surprised by recent contests in Taipei; I believed that Taiwanese people did not contest. Sometimes Taiwan looks like a country with plenty of strict rules; but on road there's no rule. Comments on this talk are more than welcome. I am curious about Taiwan :-) olivier.teytaud@gmailcom 76