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Computing trends for GeoSpatial Intelligence
Brij Kishor Jashal TIFR, Mumbai
Add your company logo here on master slide 25 February 1841 – 3 December 1919
Pierre-Auguste Renoir
The Swing (La
Balançoire), 1876,
oil on canvas
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General Approach:
• Given training data TD = {y, x} = (y,x)1
(y,x)N, function space {f } and a
constraint on these functions, teach a
machine to learn the
mapping y = f(x)
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1950s
• Turing’s paper titled “Computing Machinery and Intelligence” developed “Turing Test”
• First methods invented
1960s to 1980s
• Focus on knowledge
• Neural Networks
1990s
• Computing power growth,
• new learning methods, data-centric focus
2000-10s
• Wide use of machine learning in all spheres of research and industry
2010s
• Improvement of learning, high, parallelism, deep learnings
Reference: http://www.forbes.com/sites/bernardmarr/2016/02/19/a-short-history-of-machine-learning-every-
manager-should-read/#18a3f2ad323f
Historic overview
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Computer vision system for Image processing and decision
making.
• Image acquisition:
• Pre-processing
• Feature extraction
• Detection/segmentation
• High-level processing
• Decision making
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How Big is Big Data?
LHC data volume is predicted to grow 10 fold over the next 10 years
Tim Berners-Lee at
CERN,
invented (WWW) in
1989
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HEP Use Case
1 Higgs event out of
10^12 proton−proton
collisions
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How Big is Big Data?
• HEP
• Astronomy
• Climate sciences
• Social media
• Genomics
• …
• ….
• ……
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(Network technology )
Dense wave division multiplexing(DWDM) 100Gb/s per wave (optical channel)
• Transport using dual polarization–quadrature phase shift keying (DP-QPSK)
technology with coherent detection
-two independent optical signals, same frequency
-two polarization
• Together DP and QPSK reduce required rate by factor of 4
• Allows 100G payload(plus overhead) to fit into the spectrum
Over simplification of the optical technology involved
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Latest
Dec-POMDP (partially observable Markov decision process)
deployed on AI platforms.
• 103 Perdix drones.
• Perdix are not pre-programmed
• Collective organism: like swarms in nature
Source: http://au.pressfrom.com/news/tech-and-science/-4787-us-military-drops-swarm-of-
self-thinking-drones-from-jets/
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AI Platforms powered by clouds (PaaS and SaaS)
• IBM Watson: (5 million USD prize IBM Watson)
• Google Brain (ML / TensarFlow) (Ortho-rectification)
• Microsoft Azure ML
• Amazon EC2 / ML
• Wolfram Development Platform (Mathematica)
• lambdal, Recast.aI, api.ai, Angus.ai, craft.ai, Moni.ai
• Many generalized and specialized open source platforms frameworks……
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Data Intensive science
• Standardized data formats and universal metadata
Universal data catalogue of distributed
research data
• Secure and easy data access services (PKI)
Standard access mechanism to user and his analysis framework
• Data dissipation platforms (interfaces for accessing data, programmatically)
Advanced data transfer services and tools
• Secure networks (L3 VPNs) Optimized network resources.
Foundation of
large scale
data driven
intelligence
computation
platforms
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SDG17
The World Economic Forum has identified Artificial Intelligence (AI) as
one of the top 6 trends shaping our society.
EU Report stresses on policy and regulatory framework for AI
unprecedented quantities of data now being generated on sentiment
behavior, human health, commerce, communications, migration and more.
• convergence of multiple domains
• Exponential acceleration of automation
• Connectivity linked by a digital AI mesh
Add your company logo here on master slide
SDG17
The World Economic Forum has identified Artificial Intelligence (AI) as
one of the top 6 trends shaping our society.
EU Report stresses on policy and regulatory framework for AI
unprecedented quantities of data now being generated on sentiment
behavior, human health, commerce, communications, migration and more.
• convergence of multiple domains
• Exponential acceleration of automation
• Connectivity linked by a digital AI mesh
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