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The Case For Addressing
Climate Change With
Machine Learning.
Not a solution, but a tool to tackle it.
Climate Change As A Consequence Of
Carbon Emissions.
 A change in global or regional climate patterns, in particular a change
apparent from the mid to late 20th century onwards and attributed
largely to the increased levels of atmospheric carbon dioxide
produced by the use of fossil fuels.
Is It Really Happening?
The Greenhouse Effect and Climate
Change
How are we currently dealing with it?
 Global Climate Model:- Climate models are based on well-documented
physical processes to simulate the transfer of energy and materials through
the climate system. They use mathematical equations to characterize how
energy and matter interact in different parts of the ocean, atmosphere, land.
Building and running a climate model is complex process of identifying and
quantifying earth processes using powerful supercomputers.
How are we currently dealing with
it?(Extended)
What is Lacking?
 The heart of Global Climate Models is not beating
 Million dollar problem of the Navier-Stokes Equations.
 ∇. 𝑢 = 0
 𝜌
𝑑𝑢
𝑑𝑡
= −∇𝑝 + 𝜇∇2𝑢 + 𝐹
How Machine Learning Can Help Us Do It
Better?
 Make precision agriculture possible at scale.
 Improve deforestation tracking.
 Discover new materials.
 Improve predictions of how much electricity we need.
 Optimize how freight is routed.
 Lower barriers to electric-vehicle adoption.
 Help make buildings more efficient.
 Create better estimates of how much energy we are consuming.
What Does This Mean From The Business
Perspective?
 AgriTech:- SFarmsIndia, AgroStar, Crofarm.
 Smart Buildings:- Greenbeat – Smart Green Roofing(Oslo), Ventive – Smart
Ventilation(UK).
 Optimising Power Consumption:- Grid Sentry – Wireless Smart Grid
Sensors(USA), Suncil – Solar-Powered Street Lights (The Netherlands).
Thankyou! Questions?

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The case for addressing climate change with machine

  • 1. The Case For Addressing Climate Change With Machine Learning. Not a solution, but a tool to tackle it.
  • 2. Climate Change As A Consequence Of Carbon Emissions.  A change in global or regional climate patterns, in particular a change apparent from the mid to late 20th century onwards and attributed largely to the increased levels of atmospheric carbon dioxide produced by the use of fossil fuels.
  • 3. Is It Really Happening?
  • 4. The Greenhouse Effect and Climate Change
  • 5. How are we currently dealing with it?  Global Climate Model:- Climate models are based on well-documented physical processes to simulate the transfer of energy and materials through the climate system. They use mathematical equations to characterize how energy and matter interact in different parts of the ocean, atmosphere, land. Building and running a climate model is complex process of identifying and quantifying earth processes using powerful supercomputers.
  • 6. How are we currently dealing with it?(Extended)
  • 7. What is Lacking?  The heart of Global Climate Models is not beating  Million dollar problem of the Navier-Stokes Equations.  ∇. 𝑢 = 0  𝜌 𝑑𝑢 𝑑𝑡 = −∇𝑝 + 𝜇∇2𝑢 + 𝐹
  • 8. How Machine Learning Can Help Us Do It Better?  Make precision agriculture possible at scale.  Improve deforestation tracking.  Discover new materials.  Improve predictions of how much electricity we need.  Optimize how freight is routed.  Lower barriers to electric-vehicle adoption.  Help make buildings more efficient.  Create better estimates of how much energy we are consuming.
  • 9. What Does This Mean From The Business Perspective?  AgriTech:- SFarmsIndia, AgroStar, Crofarm.  Smart Buildings:- Greenbeat – Smart Green Roofing(Oslo), Ventive – Smart Ventilation(UK).  Optimising Power Consumption:- Grid Sentry – Wireless Smart Grid Sensors(USA), Suncil – Solar-Powered Street Lights (The Netherlands).

Editor's Notes

  1. hbcudycbycb