Living with Big Mother!
your future with smart-phones agents




                                       Presented by Filip Maertens!
                                             at TEDx Leuven 2012
Me




                         Billie
            ns (age 7)
Filip Maerte
With great power, comes great
responsibility




             Every year we generate twice the
            data than past 5.000 years together.
              Most of it is noise!
With great power, comes great
responsibility




3M check-ins/day   250M photos/day   250M tweets/day
I don’t care!      I don’t like!     I don’t read!
5,170,000,000 useless results
 I’m not finding it!
The internet collective brain is huge!
How to process this ?!
neural impulses          fiber optic
  120 m/s         200,000,000 m/s!
We will continue to further outsource and offload some of our
cognitive capabilities to smart agents!
Bring me relevant information to me!
  Let’s get personal!
Human
generated data
 is unreliable!
We don’t look
 beyond the
  obvious
rich data = human data + observed data
“Hey, I’m at TEDx Leuven #tedx”
        I Like TEDx on Facebook and use the #tedx tag on Twitter

   Human
                                                                Machine


  As a male + positioned at 50.881174,4.712276 + facing NE direction
        + ambient light of 37% + made 137 footsteps + 120 dB

I have visited TEDx events already 5 times, in 2 different countries, hereby
                   travelling 2.137 km in total distance
smart phone
or interconnected
sensory device!
Motion sensor
  3-axis gyroscope
   Accelerometer
 Compass and GPS
  Pressure sensor
     Microphone
  Proximity sensor
Ambient Light sensor
   Moisture sensor!
Eyes          = Camera and Light Sensor
Ears          = Microphone and Decibel Meter
Speech        = Speakers
Brain         = CPU / GPU
Memory        = Internet
Spinal Cord   = Fiber optic / autonomous
Orientation   = Compass and GPS
Equilibrium   = Gyroscope
Movement      = Accelerometer
Touch         = Pressure Sensor
Eyes          = Camera and Light Sensor
Ears          = Microphone and Decibel Meter
Speech        = Speakers
Brain         = CPU / GPU
Memory        = Internet
Spinal Cord   = 3G/GPRS/Wi-Fi
Orientation   = Compass and GPS
Equilibrium   = Gyroscope
Movement      = Accelerometer & Motion
Touch         = Pressure Sensor
              = Proximity Sensor (IR)
smart phones
will become the
primary cognitive
 agent platform!
Playground 1: putting the ghost in the machine!
Machine Learning + Deep Data!
Some of our early findings:!
    implicit social networks
     vague search queries
        determine sex
 determine sleeping patterns
  determine your job cohort
 determine your marital loyalty
               ...
Playground 2: making your interaction easy!
Human-Machine Interfacing!
… still a lot of experimenting to go !!
Playground 3: living with a synthetic personality!
Develop the ego and super-ego!
“Hi, Dave. I couldn’t help but
notice that it’s your girlfriend’s
   birthday next week, so I
booked her favorite restaurant
 and ordered some flowers to
  be delivered. I hope that’s
              OK?”
First wave: Tag Based Affinity Networks + ISN!
   Startups many investors like!




Second wave: Computerlinguistics, Deep data and ANN!
Startups many investors look for!
Challenges for early intelligent
agents:!
•    Location-centric!
•    Battery life!
•    UX / UI!
•    Sensory accuracy!
•    Privacy regulations!
Cognitive agents will help transcend human limitations!
    smart-phones are instrumental!




1
                2
                                 3
                                                4
Consumer cognitive agents will live on social networks!
smart-phones = panoptic devices!



                                       Privacy?
Innovation
    keyword-based search engines
  Predictive inspiration machines!
big brother
big mother!
Say Hi to your virtual
agent and best friend
 for years to come…!

TEDx Leuven 2012

  • 1.
    Living with BigMother! your future with smart-phones agents Presented by Filip Maertens! at TEDx Leuven 2012
  • 2.
    Me Billie ns (age 7) Filip Maerte
  • 3.
    With great power,comes great responsibility Every year we generate twice the data than past 5.000 years together. Most of it is noise!
  • 4.
    With great power,comes great responsibility 3M check-ins/day 250M photos/day 250M tweets/day I don’t care! I don’t like! I don’t read!
  • 5.
    5,170,000,000 useless results I’m not finding it!
  • 6.
    The internet collectivebrain is huge! How to process this ?!
  • 7.
    neural impulses fiber optic 120 m/s 200,000,000 m/s!
  • 8.
    We will continueto further outsource and offload some of our cognitive capabilities to smart agents!
  • 9.
    Bring me relevantinformation to me! Let’s get personal!
  • 10.
  • 11.
    We don’t look beyond the obvious
  • 12.
    rich data =human data + observed data
  • 13.
    “Hey, I’m atTEDx Leuven #tedx” I Like TEDx on Facebook and use the #tedx tag on Twitter Human Machine As a male + positioned at 50.881174,4.712276 + facing NE direction + ambient light of 37% + made 137 footsteps + 120 dB I have visited TEDx events already 5 times, in 2 different countries, hereby travelling 2.137 km in total distance
  • 14.
  • 15.
    Motion sensor 3-axis gyroscope Accelerometer Compass and GPS Pressure sensor Microphone Proximity sensor Ambient Light sensor Moisture sensor!
  • 16.
    Eyes = Camera and Light Sensor Ears = Microphone and Decibel Meter Speech = Speakers Brain = CPU / GPU Memory = Internet Spinal Cord = Fiber optic / autonomous Orientation = Compass and GPS Equilibrium = Gyroscope Movement = Accelerometer Touch = Pressure Sensor
  • 17.
    Eyes = Camera and Light Sensor Ears = Microphone and Decibel Meter Speech = Speakers Brain = CPU / GPU Memory = Internet Spinal Cord = 3G/GPRS/Wi-Fi Orientation = Compass and GPS Equilibrium = Gyroscope Movement = Accelerometer & Motion Touch = Pressure Sensor = Proximity Sensor (IR)
  • 18.
    smart phones will becomethe primary cognitive agent platform!
  • 19.
    Playground 1: puttingthe ghost in the machine! Machine Learning + Deep Data!
  • 20.
    Some of ourearly findings:! implicit social networks vague search queries determine sex determine sleeping patterns determine your job cohort determine your marital loyalty ...
  • 21.
    Playground 2: makingyour interaction easy! Human-Machine Interfacing!
  • 22.
    … still alot of experimenting to go !!
  • 23.
    Playground 3: livingwith a synthetic personality! Develop the ego and super-ego!
  • 24.
    “Hi, Dave. Icouldn’t help but notice that it’s your girlfriend’s birthday next week, so I booked her favorite restaurant and ordered some flowers to be delivered. I hope that’s OK?”
  • 25.
    First wave: TagBased Affinity Networks + ISN! Startups many investors like! Second wave: Computerlinguistics, Deep data and ANN! Startups many investors look for!
  • 26.
    Challenges for earlyintelligent agents:! •  Location-centric! •  Battery life! •  UX / UI! •  Sensory accuracy! •  Privacy regulations!
  • 27.
    Cognitive agents willhelp transcend human limitations! smart-phones are instrumental! 1 2 3 4
  • 28.
    Consumer cognitive agentswill live on social networks! smart-phones = panoptic devices! Privacy?
  • 29.
    Innovation keyword-based search engines Predictive inspiration machines!
  • 30.
  • 31.
    Say Hi toyour virtual agent and best friend for years to come…!