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How Artificial
Intelligence Will
Make Technology
Disappear
The theory and development of computer systems able to
perform tasks normally requiring human intelligence, such as
visual perception, speech recognition, decision-making, and
translation between languages
Artificial Intelligence
TheDigitalRevolution
How did this happen?
• Back in 1990, we didn’t have any connected devices. This was the
“unplugged” era.• Around 1995, the Internet started taking off, and our computers
became connected.• 10 years later, we entered the mobile era. This time, it is not 1, but 3
devices that are connected: a computer, a phone, and a tablet.
• In 2015, we are officially entering what is called the “Internet of
Things” era. That’s when your watch, fridge, car and lamps are
connected. It is expected that there will be more than 100 billion
connected devices by 2025, or 14 for every person on this planet.
Just imagine what it will feel like to interact manually and receive
notifications simultaneously on 14 devices.. That’s definitely not the
future we were promised!
There is hope though. There is hope that Artificial Intelligence will fix
this.
NEW ERA
• Taking the connected devices curve, and subtracting the one for A.I., we see
that the overall friction keeps increasing over the next few years until the point
where A.I. becomes so capable that this friction flips around and quickly
disappears. In this era, called “Ubiquitous Computing”, adding new connected
devices does not add friction, it actually adds value!
For Example :-
Smart Routing of Notifications.
Smart Traffic Light Management
Predicted Passenger Flow
Smart Alarm-Clock
Destination Prediction
Home Monitoring
All the previous examples are consequences of having
ubiquitous computing!
By the time this happens, technology will have become so deeply
integrated in our lives and ourselves that we simply won’t notice
it anymore.
Intelligence will have made technology disappear from our
consciousness, and the world will feel unplugged again.
Historic Example : Electricity
BackInThe
1800s
•Tangible
•Expensive
•Hard to
Produce
•Dangerous
CurrentScenario
•Cheaper
•More
Reliable
•Safer
•Ubiquitous
Context-
AwarenessBuilding this ubiquitous computing future relies on giving
devices the ability to sense and react to the current context,
which is called “context-awareness”.
Device Layer
Individual Layer
Social Layer
Environmental Layer
A good way to think about it is through the combination
of 4 layers:
For example, to model the social layer, we can look at the emails
that were sent and received by someone, which gives us an
indication of social connection strength between a group of
people
Geo-Location
Monitoring
User Specific
Module
Timeline Of
Places
Timeline Of
Places
Accelerometer
Pattern
Transportation
Mode
Transportation
Mode Aggregated
Population Flow
Of City
InterPlay Between Layers
Conclusion
If we combine all these different layers — personal, social,
environmental — we can recreate a highly contextualized
timeline of what we have been doing throughout the day,
which in turn enables us to predict what our intentions are.
References
www.google.com
www.wikipedia.com
www.medium.com
www.tedxecolepolytechnique.com
www.youtube.co
m
Thank You
Created By: Anurag Saraswat , Anubhav Shrivastav ,Deepanshu Hudda,

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How Artificial Intelligence Will Make Technology Disappear

  • 2. The theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages Artificial Intelligence
  • 3.
  • 4. TheDigitalRevolution How did this happen? • Back in 1990, we didn’t have any connected devices. This was the “unplugged” era.• Around 1995, the Internet started taking off, and our computers became connected.• 10 years later, we entered the mobile era. This time, it is not 1, but 3 devices that are connected: a computer, a phone, and a tablet. • In 2015, we are officially entering what is called the “Internet of Things” era. That’s when your watch, fridge, car and lamps are connected. It is expected that there will be more than 100 billion connected devices by 2025, or 14 for every person on this planet. Just imagine what it will feel like to interact manually and receive notifications simultaneously on 14 devices.. That’s definitely not the future we were promised! There is hope though. There is hope that Artificial Intelligence will fix this.
  • 5. NEW ERA • Taking the connected devices curve, and subtracting the one for A.I., we see that the overall friction keeps increasing over the next few years until the point where A.I. becomes so capable that this friction flips around and quickly disappears. In this era, called “Ubiquitous Computing”, adding new connected devices does not add friction, it actually adds value!
  • 6. For Example :- Smart Routing of Notifications. Smart Traffic Light Management Predicted Passenger Flow Smart Alarm-Clock Destination Prediction Home Monitoring
  • 7. All the previous examples are consequences of having ubiquitous computing! By the time this happens, technology will have become so deeply integrated in our lives and ourselves that we simply won’t notice it anymore. Intelligence will have made technology disappear from our consciousness, and the world will feel unplugged again.
  • 8. Historic Example : Electricity BackInThe 1800s •Tangible •Expensive •Hard to Produce •Dangerous CurrentScenario •Cheaper •More Reliable •Safer •Ubiquitous
  • 9. Context- AwarenessBuilding this ubiquitous computing future relies on giving devices the ability to sense and react to the current context, which is called “context-awareness”. Device Layer Individual Layer Social Layer Environmental Layer A good way to think about it is through the combination of 4 layers:
  • 10. For example, to model the social layer, we can look at the emails that were sent and received by someone, which gives us an indication of social connection strength between a group of people
  • 11. Geo-Location Monitoring User Specific Module Timeline Of Places Timeline Of Places Accelerometer Pattern Transportation Mode Transportation Mode Aggregated Population Flow Of City InterPlay Between Layers
  • 12. Conclusion If we combine all these different layers — personal, social, environmental — we can recreate a highly contextualized timeline of what we have been doing throughout the day, which in turn enables us to predict what our intentions are.
  • 14. Thank You Created By: Anurag Saraswat , Anubhav Shrivastav ,Deepanshu Hudda,