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Add your company logo here on master slide Add your company logo and other footers here on master slide Computing trends for GeoSpatial Intelligence Brij Kishor Jashal TIFR, Mumbai
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Computing trends for GeoSpatial Intelligence · Add your company logo here on master slide Add your company logo and other footers here on master slide Computing trends for GeoSpatial

Apr 17, 2018

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Page 1: Computing trends for GeoSpatial Intelligence · Add your company logo here on master slide Add your company logo and other footers here on master slide Computing trends for GeoSpatial

Add your company logo here on master slide

Add your company logo and other footers here on master slide

Computing trends for GeoSpatial Intelligence

Brij Kishor Jashal TIFR, Mumbai

Page 2: Computing trends for GeoSpatial Intelligence · Add your company logo here on master slide Add your company logo and other footers here on master slide Computing trends for GeoSpatial

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Transportation: Navigation

“Stanford Cart”

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Transportation:

The most natural way of transportation ?

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Transportation:

Page 5: Computing trends for GeoSpatial Intelligence · Add your company logo here on master slide Add your company logo and other footers here on master slide Computing trends for GeoSpatial

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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ANN

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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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Computer Vision

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The Big Data

1966

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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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Sloan Digital Sky Survey (Astronomy)

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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

Page 25: Computing trends for GeoSpatial Intelligence · Add your company logo here on master slide Add your company logo and other footers here on master slide Computing trends for GeoSpatial

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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

Page 26: Computing trends for GeoSpatial Intelligence · Add your company logo here on master slide Add your company logo and other footers here on master slide Computing trends for GeoSpatial

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1910

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Far and away the best prize that life has to offer is the chance

to work hard at work worth doing.

Theodore Roosevelt

Thanks