SlideShare uma empresa Scribd logo
1 de 84
Baixar para ler offline
Into the next dimension
Ed Charbeneau
Developer Advocate, Telerik
Author: TDN & Simple-Talk
Podcast: Eat Sleep Code the Official Telerik Podcast
Twitter: @EdCharbeneau
I hope you enjoy the presentation.
You're traveling through
another dimension
a dimension not
only of sight
and sound but of
data;
a journey into a wondrous
land whose boundaries are
that of the imagination.
Next stop…
Into the next dimension
Why??
Twilight Zone dealt
with many topics…
Frequently the topic of
technology.
However
the common
theme throughout
the show wasn’t
the technology
itself
The theme was the human condition
3 Technologies
Each will shape our
future
How
will we
react?
Using references from
the past, will give us a
perspective of time,
which we can use to
estimate the future.
Let’s begin with Big Data
? ?Big Data
Big Data
Extremely large data sets that may be
analyzed computationally to reveal
patterns, trends, and associations,
especially relating to human behavior and
interactions.
Data and Data Technologies
1961
Data Storage in 1961
• Hard Disk Drive
• 52 inches tall
• 70 inches wide
• 39 inch disks
• Total Capacity 205MB
• Had to be bolted to a concrete floor
• Roughly 3.6 Million Dollars per GB
Data and Data Technologies
1961 Today
Data Storage in Today
• 16 Terabytes
• 2.5 inches
• Price per GB has dropped to nearly 3
cents per GB
More space = more data
• More than 90% of all the data in the
globe was generated over the course
of past two years.
• The total volume of data that the
industry captures and stores, gets
doubled in every 1.2 years.
Data and Data Technologies
1961 Today 2020
More space = more data
• the amount of digital information
that exists in the present time will
grow from 3.2 zettabytes to 40
zettabytes, by 2020
• Equivalent to 125 million years
worth of Twilight Zone episodes.
Why??
Data and Data Technologies
19611854
1854 Broad Street cholera outbreak
Regarded as the founding event of the
science of epidemiology (the study of
the patterns, causes, and effects
of health and disease conditions in
defined populations)
1854 Broad Street cholera outbreak
Dominant theory stated that Cholera
spread by “Bad air”
John Snow used statistics to illustrate
the connection between the quality of
the water source and cholera cases
Data and Data Technologies
Today Future
Predicting Future Outbreaks
Harvard researchers analyzed anonymous phone call records of 15
million users.
Mobile phone data may be used to capture seasonal human movement
patterns that are relevant for understanding childhood infectious
diseases.
Researchers plan to test if the same method is as effective in
forecasting malaria and cholera outbreaks and eventually be used by
doctors and other medical professionals.
Predicting Future Outbreaks
• Big Data could be used to predict outbreaks using a much broader
forms of data:
– Wearables
– GPS Data (phones)
– Thermostat Data (Nest)
– Vehicle Data
– Medical Data
• Increased accuracy
• Increased foresight
Human Condition
When is it socially
acceptable to use our data
and what types of data will
we allow access to?
Moving forward
How will we make
sense of zettabytes of
data ?
Bringing us to Machine Learning
Machine
Learning &
AI
?Big Data
Artificial Intelligence
Computer systems able to perform tasks that
normally require human intelligence, such as
visual perception, speech recognition, decision-
making, and translation between languages.
AI Technologies
1950s
1950s “AI” Research Begins
• 1950 Alan Turing proposes the
Turing Test as a measure of machine
intelligence.
• 1956 Dartmouth Conference,
considered the birth of AI
• 1958 Lisp language invented
Results in big concepts
• Reasoning as Search
• Natural Language
• Micro-worlds
Big Ideas in Science
• 1958 the first commercial nuclear
power plant in the United States
• 1959 Soviets land [unmanned] on the
moon
Problems & Limitations
For decades, the capabilities of AI
programs were limited. Even the most
impressive could only handle trivial
versions of the problems they were
supposed to solve.
• Limited Resources
– Computing Power
– Limited Storage & Memory
Big Ideas in Science Fiction
Sometimes big ideas need time for
science to catch up before they can be
made a reality.
Big Ideas in Science Fiction
Sometimes big ideas need time for
science to catch up before they can be
made a reality.
AI Technologies
1950s Today
Machine Learning
Machine learning is a subfield of computer science
that evolved from the study of pattern recognition
and computational learning theory in artificial
intelligence. Machine learning explores the study
and construction of algorithms that can learn from
and make predictions on data.
Artificial General Intelligence
A hypothetical machine that could
successfully perform any intellectual
task that a human being can
Artificial General Intelligence
Fear of AGI today shouldn’t be our
focus. We’re talking about Machine
Learning.
However, the human condition still
applies.
Machine Learning in Use
Who
• Google
• Microsoft
• Apple
• Facebook
• Amazon
• Sitefinity Digital Experience Cloud
• Government
• And many, many more
Why
• Making personalized recommendations for
customers
• Natural Language
– Siri, Cortana, Google Now
• Forecasting long-term customer loyalty
• Anticipating the future performance of
employees
• Rating the credit risk of loan applicants
Predictions based on Data
Machine
Learning &
AI
Big Data
Machine
Learning &
AI
Today
Machine Learning for the Masses
• Azure Machine Learning
• Amazon Machine Learning
• TensorFlow (Google)
Creepy Uses for ML
Target Figured Out A Teen Girl Was
Pregnant Before Her Father Did
Unintended consequences, human
condition.
With Great Power…
A computer scientist has pioneered an
artificial intelligence-driven method of
modeling the behaviors of militant
groups, and the Department of
Defense is interested.
AI Technologies
1950s Today Future
Much More Data
Data Sources
• Wearables
• IoT
• GPS Data (phones)
• Thermostat Data (Nest)
• Vehicle Data
• Medical Data
• 3d-video capture (Kinect)
• Search history
• Twitter history
Scope of Data
• Collected from birth
• In every aspect of our lives
• About all of our habits, likes, dislikes,
moods
• Data we have no use for today, can be
useful tomorrow
Moving forward
What happens when
we make sense of our
data?
Anonymous Data
Anonymous Data can be reverse
engineered manually. Sounds like an
application for Machine Learning.
The Decision
Does benefit
outweigh our need
for privacy?
Augmented Reality
Machine
Learning &
AI
Augmented
RealityBig Data
Augmented Reality
A live direct or indirect view of a physical, real-
world environment whose elements
are augmented (or supplemented) by
computer-generated sensory input
AI Technologies
1958
Heads Up
1958 the world's first
Head Up Display in
operational service
AI Technologies
1958 Yesterday
HUD Powered AR
• Google Glass
• Success or Failure?
• Human conditions
– Privacy
– Data collection
– Socially Akward
Mobile Powered AR
• Camera provides a
live image
• Sensors and data are
used to overlay
information
Mobile Powered AR
This would be
complete science
fiction just a short
time ago
AR Amplified
Machine
Learning &
AI
Augmented
Reality
Big Data
Machine
Learning &
AI
Today
Enhanced Mobile Powered AR
Translate signage in real
time.
AI Technologies
1958 Today Near Future
Heads Up, Again
Microsoft HoloLens
Advances the abilities of AR
by detecting physical space.
Augments walls, floors, and
other objects.
Possible Applications
Medicine
Possible Applications
Industrial, Education
Possible Applications
Virtual Showrooms
Human Condition
Looking Silly
AI Technologies
1958 Today Near Future Future
The Next Dimension
Using data as a virtual 4th
dimension, many
environments represented
by data could occupy the
same augmented real world
space.
Information Overload
Difficulty separating
virtual life with
reality?
Distant Future
Machine
Learning &
AI
Augmented
Reality
Big Data
Machine
Learning &
AI
Mind Uploading Redefined
Personal “Big Data”
collected over a lifetime
could be equivalent to
uploading one’s mind.
Virtual Consciousness
What are the
implications of the
virtual
consciousness?
Into the next dimension
Distant Future (alternate ending)
Machine
Learning &
AI
Augmented
Reality
Big Data
Machine
Learning &
AI
The Choice Is Ours
Using technology we’ll
predict and cure disease,
create new areas of science,
and solve real problems.
The End
Research
History of hard disk drives - Wikipedia, the free encyclopedia
Timeline of Computer History: 1959 | Computer History Museum
Timeline of Computer History: 1958 | Computer History Museum
A Very Short History Of Big Data - Forbes
Page Not Found
Timeline: 50 Years of Hard Drives | PCWorld
Top 10 Amazing Facts To Know About Big Data
5 Most Prophetic Twilight Zone Episodes | Smells Like Infinite Sadness
The incredible shrinking data center | Network World
There’s No Such Thing as Anonymous Data
courses.cs.washington.edu/courses/csep590/06au/projects/history-ai.pdf
Illumin - Deep Blue: The History and Engineering behind Computer Chess
Deep Blue (chess computer) - Wikipedia, the free encyclopedia
The Three Breakthroughs That Have Finally Unleashed AI on the World | WIRED
Predictive Analytics | When Machine Learning meets Real Life
Machine Learning for Programmers: Leap from developer to machine learning practitioner -
Machine Learning Mastery
https://www.stat.auckland.ac.nz/~ihaka/downloads/Interface98.pdf
Breakthroughs in Artificial Intelligence from 2014 | MIT Technology Review
Artificial general intelligence - Wikipedia, the free encyclopedia
The AI Resurgence: Why Now? - Innovation Insights
Nuclear power in the United States - Wikipedia, the free encyclopedia
machine learning used to predict and model isis - Business Insider
How Target Figured Out A Teen Girl Was Pregnant Before Her Father Did - Forbes
4 no-bull takeaways about Google's machine learning project | InfoWorld
History of artificial intelligence - Wikipedia, the free encyclopedia
Timeline of artificial intelligence - Wikipedia, the free encyclopedia
Dartmouth Conferences - Wikipedia, the free encyclopedia
Data Science in the Cloud with Microsoft Azure Machine Learning and R - O'Reilly Media
Free, Live Events
Augmented Reality: Past, Present and Future - TNW Industry
What Every Manager Should Know About Machine Learning
Google is open-sourcing its new machine learning system behind Google Photos
The biggest myths and misconceptions about artificial inteligence, from the experts
John Snow (physician) - Wikipedia, the free encyclopedia
Google researcher: We'll be "highly dependent’ on AI in the future
Introducing U-SQL – A Language that makes Big Data Processing Easy - The Visual Studio
Blog - Site Home - MSDN Blogs
How It Works | Frameri Eyewear
Phone data can predict infectious disease outbreaks
IBM's 'Rodent Brain' Chip Could Make Our Phones Hyper-Smart | WIRED
What is Microsoft doing with machine learning?
Eric Horvitz on the new era of Artificial Intelligence | Microsoft Research Luminaries |
Channel 9
Disney's $1 Billion Bet on a Magical Wristband | WIRED
Videos | Barclay T. Blair
Infographic: Trillion-Fold Rise in Computing Puts a 1985 Supercomputer on Our Wrists -
Singularity HUBSingularity HUB
Apple Acquires Augmented Reality Company Metaio | TechCrunch
Augmented Reality in the Browser with Awe.js
Top Augmented Reality Apps of Summer 2014 | Marxent
Everyday AI – it’s not just about robots | ITProPortal.com
Artificial intelligence: Should we be as terrified as Elon Musk and Bill Gates? | ZDNet
Top 10 Amazing Facts To Know About Big Data
Stephen Hawking, Elon Musk, and Bill Gates Warn About Artificial Intelligence | | Observer
Big data & AI vs ISIS
Antivirus Might Catch More Malicious Code Using Neural Networks | MIT Technology
Review
Home — TensorFlow
Credits
The Twilight ZoneTM
The Twilight Zone Is a registered
trademark of CBS Corporation. This
presentation “Into the next dimension”
is in no way affiliated with or endorsed
by CBS and are used here under the
terms of Fair Use as defined in United
States Copyright Doctrine.
Nor is it associated with Warner Bros.,
Viacom, New Line Cinema, United
Paramount, The Scifi Channel, Cayuga
Productions, Inc., the Serling Estate, or
any of their affiliates which maintain
trademarks on The Twilight
Zone properties in part or in whole.
More credits
This presentation “Into the next
dimension” is not affiliated with
Megan Ellison or Annapurna Pictures.
All trademarks and copyrights belong
to their respective owners, and are
used here under the terms of Fair
Use as defined in United States
Copyright Doctrine. Terminator is a
registered trademark of StudioCanal
Image S.A.
This presentation “Into the next
dimension” is not affiliated with
Transcendence, Warner Brothers
Pictures or Summit Entertainment. All
trademarks and copyrights belong to
their respective owners, and are used
here under the terms of Fair Use as
defined in United States
Copyright Doctrine.

Mais conteúdo relacionado

Mais procurados

Introduction to computer science cs110 - pdf
Introduction to computer science   cs110 - pdfIntroduction to computer science   cs110 - pdf
Introduction to computer science cs110 - pdfSaqib Imran
 
Bigdataforesight
BigdataforesightBigdataforesight
Bigdataforesightsuresh sood
 
artificial intelligence
artificial intelligenceartificial intelligence
artificial intelligenceN1 32
 
Transforming instagram data into location intelligence
Transforming instagram data into location intelligenceTransforming instagram data into location intelligence
Transforming instagram data into location intelligencesuresh sood
 
Singularity presentation Ray Kurzweil at Google
Singularity presentation Ray Kurzweil at GoogleSingularity presentation Ray Kurzweil at Google
Singularity presentation Ray Kurzweil at GoogleSergio Stein
 
AI in Healthcare 2017
AI in Healthcare 2017AI in Healthcare 2017
AI in Healthcare 2017Peter Morgan
 
What will the world be like 50 years 20 (1)
What will the world be like 50 years 20 (1)What will the world be like 50 years 20 (1)
What will the world be like 50 years 20 (1)nitut1
 
Behavioral Analytics with Smartphone Data. Talk at Strata + Hadoop World 2014...
Behavioral Analytics with Smartphone Data. Talk at Strata + Hadoop World 2014...Behavioral Analytics with Smartphone Data. Talk at Strata + Hadoop World 2014...
Behavioral Analytics with Smartphone Data. Talk at Strata + Hadoop World 2014...Joerg Blumtritt
 
The Artificial Intelligence (AI) Era
The Artificial Intelligence (AI) Era The Artificial Intelligence (AI) Era
The Artificial Intelligence (AI) Era Ambeent
 
How artificial intelligence can help you today
How artificial intelligence can help you todayHow artificial intelligence can help you today
How artificial intelligence can help you todayHenrik de Gyor
 
Ashish research paper
Ashish research paperAshish research paper
Ashish research paperashish_herat
 
Singularity University Spime Design Workshop
Singularity University Spime Design WorkshopSingularity University Spime Design Workshop
Singularity University Spime Design WorkshopDavid Orban
 
The Programmable Internet of Things
The Programmable Internet of ThingsThe Programmable Internet of Things
The Programmable Internet of ThingsRich Miller
 
Singularity University Executive Program - Day 0
Singularity University Executive Program - Day 0Singularity University Executive Program - Day 0
Singularity University Executive Program - Day 0Empatika
 
Top 10-recent-invention-of-science-without-video
Top 10-recent-invention-of-science-without-videoTop 10-recent-invention-of-science-without-video
Top 10-recent-invention-of-science-without-videomsnsela
 
The Technological Singularity
The Technological SingularityThe Technological Singularity
The Technological SingularityDolphinSwanDive
 

Mais procurados (20)

Introduction to computer science cs110 - pdf
Introduction to computer science   cs110 - pdfIntroduction to computer science   cs110 - pdf
Introduction to computer science cs110 - pdf
 
Bigdataforesight
BigdataforesightBigdataforesight
Bigdataforesight
 
artificial intelligence
artificial intelligenceartificial intelligence
artificial intelligence
 
Transforming instagram data into location intelligence
Transforming instagram data into location intelligenceTransforming instagram data into location intelligence
Transforming instagram data into location intelligence
 
Singularity presentation Ray Kurzweil at Google
Singularity presentation Ray Kurzweil at GoogleSingularity presentation Ray Kurzweil at Google
Singularity presentation Ray Kurzweil at Google
 
AI in Healthcare 2017
AI in Healthcare 2017AI in Healthcare 2017
AI in Healthcare 2017
 
James Katz en MoRe
James Katz en MoReJames Katz en MoRe
James Katz en MoRe
 
What will the world be like 50 years 20 (1)
What will the world be like 50 years 20 (1)What will the world be like 50 years 20 (1)
What will the world be like 50 years 20 (1)
 
Behavioral Analytics with Smartphone Data. Talk at Strata + Hadoop World 2014...
Behavioral Analytics with Smartphone Data. Talk at Strata + Hadoop World 2014...Behavioral Analytics with Smartphone Data. Talk at Strata + Hadoop World 2014...
Behavioral Analytics with Smartphone Data. Talk at Strata + Hadoop World 2014...
 
AI_Workshop
AI_WorkshopAI_Workshop
AI_Workshop
 
The Artificial Intelligence (AI) Era
The Artificial Intelligence (AI) Era The Artificial Intelligence (AI) Era
The Artificial Intelligence (AI) Era
 
How artificial intelligence can help you today
How artificial intelligence can help you todayHow artificial intelligence can help you today
How artificial intelligence can help you today
 
The Singularity
The SingularityThe Singularity
The Singularity
 
Transhumans: Technology Powered Superhumans
Transhumans: Technology Powered SuperhumansTranshumans: Technology Powered Superhumans
Transhumans: Technology Powered Superhumans
 
Ashish research paper
Ashish research paperAshish research paper
Ashish research paper
 
Singularity University Spime Design Workshop
Singularity University Spime Design WorkshopSingularity University Spime Design Workshop
Singularity University Spime Design Workshop
 
The Programmable Internet of Things
The Programmable Internet of ThingsThe Programmable Internet of Things
The Programmable Internet of Things
 
Singularity University Executive Program - Day 0
Singularity University Executive Program - Day 0Singularity University Executive Program - Day 0
Singularity University Executive Program - Day 0
 
Top 10-recent-invention-of-science-without-video
Top 10-recent-invention-of-science-without-videoTop 10-recent-invention-of-science-without-video
Top 10-recent-invention-of-science-without-video
 
The Technological Singularity
The Technological SingularityThe Technological Singularity
The Technological Singularity
 

Semelhante a Into the next dimension

Future Ways of Doing Science science world conf of scientific youth peru 2016
Future Ways of Doing Science science world conf of scientific youth peru 2016Future Ways of Doing Science science world conf of scientific youth peru 2016
Future Ways of Doing Science science world conf of scientific youth peru 2016Jerome Glenn
 
Work/Technology 2050: Scenarios and Actions
Work/Technology 2050: Scenarios and ActionsWork/Technology 2050: Scenarios and Actions
Work/Technology 2050: Scenarios and ActionsJerome Glenn
 
Work/Technology 2050: Scenarios and Actions (Dubai talk)
Work/Technology 2050: Scenarios and Actions (Dubai talk)Work/Technology 2050: Scenarios and Actions (Dubai talk)
Work/Technology 2050: Scenarios and Actions (Dubai talk)Jerome Glenn
 
Internet of things and nanothings workshop may 2014
Internet of things and nanothings workshop may 2014Internet of things and nanothings workshop may 2014
Internet of things and nanothings workshop may 2014Marios Kyriazis
 
Ai presentation by niraj lunavat at ghrcem.pptx
Ai presentation by niraj lunavat at ghrcem.pptxAi presentation by niraj lunavat at ghrcem.pptx
Ai presentation by niraj lunavat at ghrcem.pptxTechVision8
 
ARTIFICIAL INTELLIGENCE.pptx
ARTIFICIAL INTELLIGENCE.pptxARTIFICIAL INTELLIGENCE.pptx
ARTIFICIAL INTELLIGENCE.pptxBryCunal
 
50th Anniversary Keynote for Korean Testing Laboratory
50th Anniversary Keynote for Korean Testing Laboratory50th Anniversary Keynote for Korean Testing Laboratory
50th Anniversary Keynote for Korean Testing LaboratoryJerome Glenn
 
Oas keynote 10 2019
Oas keynote 10 2019Oas keynote 10 2019
Oas keynote 10 2019Jerome Glenn
 
Artificial intelligence tapan
Artificial intelligence tapanArtificial intelligence tapan
Artificial intelligence tapanTapan Khilar
 
Introduction to Artificial Intelligences
Introduction to Artificial IntelligencesIntroduction to Artificial Intelligences
Introduction to Artificial IntelligencesMeenakshi Paul
 
computer science engineering spe ialized in artificial Intelligence
computer science engineering spe ialized in artificial Intelligencecomputer science engineering spe ialized in artificial Intelligence
computer science engineering spe ialized in artificial IntelligenceKhanKhaja1
 
4 Things You Didn't Know About Big Data
4 Things You Didn't Know About Big Data4 Things You Didn't Know About Big Data
4 Things You Didn't Know About Big DataTyrone Systems
 
Some Increasingly Significant Technology by 2050 for the European Commisssion...
Some Increasingly Significant Technology by 2050 for the European Commisssion...Some Increasingly Significant Technology by 2050 for the European Commisssion...
Some Increasingly Significant Technology by 2050 for the European Commisssion...Jerome Glenn
 

Semelhante a Into the next dimension (20)

Future Ways of Doing Science science world conf of scientific youth peru 2016
Future Ways of Doing Science science world conf of scientific youth peru 2016Future Ways of Doing Science science world conf of scientific youth peru 2016
Future Ways of Doing Science science world conf of scientific youth peru 2016
 
When AI becomes a data-driven machine, and digital is everywhere!
When AI becomes a data-driven machine, and digital is everywhere!When AI becomes a data-driven machine, and digital is everywhere!
When AI becomes a data-driven machine, and digital is everywhere!
 
S0-Stephen.pptx
S0-Stephen.pptxS0-Stephen.pptx
S0-Stephen.pptx
 
Work/Technology 2050: Scenarios and Actions
Work/Technology 2050: Scenarios and ActionsWork/Technology 2050: Scenarios and Actions
Work/Technology 2050: Scenarios and Actions
 
Work/Technology 2050: Scenarios and Actions (Dubai talk)
Work/Technology 2050: Scenarios and Actions (Dubai talk)Work/Technology 2050: Scenarios and Actions (Dubai talk)
Work/Technology 2050: Scenarios and Actions (Dubai talk)
 
Internet of things and nanothings workshop may 2014
Internet of things and nanothings workshop may 2014Internet of things and nanothings workshop may 2014
Internet of things and nanothings workshop may 2014
 
Ai presentation by niraj lunavat at ghrcem.pptx
Ai presentation by niraj lunavat at ghrcem.pptxAi presentation by niraj lunavat at ghrcem.pptx
Ai presentation by niraj lunavat at ghrcem.pptx
 
ARTIFICIAL INTELLIGENCE.pptx
ARTIFICIAL INTELLIGENCE.pptxARTIFICIAL INTELLIGENCE.pptx
ARTIFICIAL INTELLIGENCE.pptx
 
50th Anniversary Keynote for Korean Testing Laboratory
50th Anniversary Keynote for Korean Testing Laboratory50th Anniversary Keynote for Korean Testing Laboratory
50th Anniversary Keynote for Korean Testing Laboratory
 
top 10 Data Mining Algorithms
top 10 Data Mining Algorithmstop 10 Data Mining Algorithms
top 10 Data Mining Algorithms
 
Oas keynote 10 2019
Oas keynote 10 2019Oas keynote 10 2019
Oas keynote 10 2019
 
Artificial intelligence tapan
Artificial intelligence tapanArtificial intelligence tapan
Artificial intelligence tapan
 
Introduction to Artificial Intelligences
Introduction to Artificial IntelligencesIntroduction to Artificial Intelligences
Introduction to Artificial Intelligences
 
ai.ppt
ai.pptai.ppt
ai.ppt
 
computer science engineering spe ialized in artificial Intelligence
computer science engineering spe ialized in artificial Intelligencecomputer science engineering spe ialized in artificial Intelligence
computer science engineering spe ialized in artificial Intelligence
 
ai.ppt
ai.pptai.ppt
ai.ppt
 
ai.ppt
ai.pptai.ppt
ai.ppt
 
ai.ppt
ai.pptai.ppt
ai.ppt
 
4 Things You Didn't Know About Big Data
4 Things You Didn't Know About Big Data4 Things You Didn't Know About Big Data
4 Things You Didn't Know About Big Data
 
Some Increasingly Significant Technology by 2050 for the European Commisssion...
Some Increasingly Significant Technology by 2050 for the European Commisssion...Some Increasingly Significant Technology by 2050 for the European Commisssion...
Some Increasingly Significant Technology by 2050 for the European Commisssion...
 

Mais de Ed Charbeneau

Writing JavaScript for C# Blazor.pptx
Writing JavaScript for C# Blazor.pptxWriting JavaScript for C# Blazor.pptx
Writing JavaScript for C# Blazor.pptxEd Charbeneau
 
Blazor Stability Testing Tools for Bullet Proof Applications
Blazor Stability Testing Tools for Bullet Proof ApplicationsBlazor Stability Testing Tools for Bullet Proof Applications
Blazor Stability Testing Tools for Bullet Proof ApplicationsEd Charbeneau
 
Secrets of a Blazor Component Artisan (v2)
Secrets of a Blazor Component Artisan (v2)Secrets of a Blazor Component Artisan (v2)
Secrets of a Blazor Component Artisan (v2)Ed Charbeneau
 
Modernizing Web Apps with .NET 6.pptx
Modernizing Web Apps with .NET 6.pptxModernizing Web Apps with .NET 6.pptx
Modernizing Web Apps with .NET 6.pptxEd Charbeneau
 
Modernizing Web Apps with .NET 6.pptx
Modernizing Web Apps with .NET 6.pptxModernizing Web Apps with .NET 6.pptx
Modernizing Web Apps with .NET 6.pptxEd Charbeneau
 
Secrets of a Blazor Component Artisan
Secrets of a Blazor Component ArtisanSecrets of a Blazor Component Artisan
Secrets of a Blazor Component ArtisanEd Charbeneau
 
Writing java script for Csharp's Blazor
Writing java script for Csharp's BlazorWriting java script for Csharp's Blazor
Writing java script for Csharp's BlazorEd Charbeneau
 
Goodbye JavaScript Hello Blazor
Goodbye JavaScript Hello BlazorGoodbye JavaScript Hello Blazor
Goodbye JavaScript Hello BlazorEd Charbeneau
 
Razor into the Razor'verse
Razor into the Razor'verseRazor into the Razor'verse
Razor into the Razor'verseEd Charbeneau
 
Giving Clarity to LINQ Queries by Extending Expressions R2
Giving Clarity to LINQ Queries by Extending Expressions R2Giving Clarity to LINQ Queries by Extending Expressions R2
Giving Clarity to LINQ Queries by Extending Expressions R2Ed Charbeneau
 
The future of .NET lightning talk
The future of .NET lightning talkThe future of .NET lightning talk
The future of .NET lightning talkEd Charbeneau
 
Giving Clarity to LINQ Queries by Extending Expressions
Giving Clarity to LINQ Queries by Extending ExpressionsGiving Clarity to LINQ Queries by Extending Expressions
Giving Clarity to LINQ Queries by Extending ExpressionsEd Charbeneau
 
What is new in Q2 2015
What is new in Q2 2015What is new in Q2 2015
What is new in Q2 2015Ed Charbeneau
 
TelerikNEXT What's new in UI for ASP.NET AJAX
TelerikNEXT What's new in UI for ASP.NET AJAXTelerikNEXT What's new in UI for ASP.NET AJAX
TelerikNEXT What's new in UI for ASP.NET AJAXEd Charbeneau
 
Journey to JavaScript (from C#)
Journey to JavaScript (from C#)Journey to JavaScript (from C#)
Journey to JavaScript (from C#)Ed Charbeneau
 
Don't be a stereotype: Rapid Prototype
Don't be a stereotype: Rapid PrototypeDon't be a stereotype: Rapid Prototype
Don't be a stereotype: Rapid PrototypeEd Charbeneau
 
A crash course in responsive design
A crash course in responsive designA crash course in responsive design
A crash course in responsive designEd Charbeneau
 

Mais de Ed Charbeneau (20)

Writing JavaScript for C# Blazor.pptx
Writing JavaScript for C# Blazor.pptxWriting JavaScript for C# Blazor.pptx
Writing JavaScript for C# Blazor.pptx
 
Blazor Stability Testing Tools for Bullet Proof Applications
Blazor Stability Testing Tools for Bullet Proof ApplicationsBlazor Stability Testing Tools for Bullet Proof Applications
Blazor Stability Testing Tools for Bullet Proof Applications
 
Secrets of a Blazor Component Artisan (v2)
Secrets of a Blazor Component Artisan (v2)Secrets of a Blazor Component Artisan (v2)
Secrets of a Blazor Component Artisan (v2)
 
Modernizing Web Apps with .NET 6.pptx
Modernizing Web Apps with .NET 6.pptxModernizing Web Apps with .NET 6.pptx
Modernizing Web Apps with .NET 6.pptx
 
Modernizing Web Apps with .NET 6.pptx
Modernizing Web Apps with .NET 6.pptxModernizing Web Apps with .NET 6.pptx
Modernizing Web Apps with .NET 6.pptx
 
Blazor Full-Stack
Blazor Full-StackBlazor Full-Stack
Blazor Full-Stack
 
Secrets of a Blazor Component Artisan
Secrets of a Blazor Component ArtisanSecrets of a Blazor Component Artisan
Secrets of a Blazor Component Artisan
 
Writing java script for Csharp's Blazor
Writing java script for Csharp's BlazorWriting java script for Csharp's Blazor
Writing java script for Csharp's Blazor
 
Goodbye JavaScript Hello Blazor
Goodbye JavaScript Hello BlazorGoodbye JavaScript Hello Blazor
Goodbye JavaScript Hello Blazor
 
Razor into the Razor'verse
Razor into the Razor'verseRazor into the Razor'verse
Razor into the Razor'verse
 
Blazor
BlazorBlazor
Blazor
 
Giving Clarity to LINQ Queries by Extending Expressions R2
Giving Clarity to LINQ Queries by Extending Expressions R2Giving Clarity to LINQ Queries by Extending Expressions R2
Giving Clarity to LINQ Queries by Extending Expressions R2
 
The future of .NET lightning talk
The future of .NET lightning talkThe future of .NET lightning talk
The future of .NET lightning talk
 
Giving Clarity to LINQ Queries by Extending Expressions
Giving Clarity to LINQ Queries by Extending ExpressionsGiving Clarity to LINQ Queries by Extending Expressions
Giving Clarity to LINQ Queries by Extending Expressions
 
What is new in Q2 2015
What is new in Q2 2015What is new in Q2 2015
What is new in Q2 2015
 
TelerikNEXT What's new in UI for ASP.NET AJAX
TelerikNEXT What's new in UI for ASP.NET AJAXTelerikNEXT What's new in UI for ASP.NET AJAX
TelerikNEXT What's new in UI for ASP.NET AJAX
 
Journey to JavaScript (from C#)
Journey to JavaScript (from C#)Journey to JavaScript (from C#)
Journey to JavaScript (from C#)
 
Refactoring css
Refactoring cssRefactoring css
Refactoring css
 
Don't be a stereotype: Rapid Prototype
Don't be a stereotype: Rapid PrototypeDon't be a stereotype: Rapid Prototype
Don't be a stereotype: Rapid Prototype
 
A crash course in responsive design
A crash course in responsive designA crash course in responsive design
A crash course in responsive design
 

Último

Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Brian Pichman
 
VoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXVoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXTarek Kalaji
 
Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfinfogdgmi
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxMatsuo Lab
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfJamie (Taka) Wang
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8DianaGray10
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDELiveplex
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024SkyPlanner
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfDaniel Santiago Silva Capera
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarPrecisely
 
Building AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxBuilding AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxUdaiappa Ramachandran
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationIES VE
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAshyamraj55
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-pyJamie (Taka) Wang
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Websitedgelyza
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?IES VE
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintMahmoud Rabie
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesMd Hossain Ali
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IES VE
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesDavid Newbury
 

Último (20)

Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )
 
VoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXVoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBX
 
Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdf
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptx
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity Webinar
 
Building AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxBuilding AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptx
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-py
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Website
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership Blueprint
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond Ontologies
 

Into the next dimension

  • 2. Ed Charbeneau Developer Advocate, Telerik Author: TDN & Simple-Talk Podcast: Eat Sleep Code the Official Telerik Podcast Twitter: @EdCharbeneau
  • 3. I hope you enjoy the presentation.
  • 5. a dimension not only of sight and sound but of data;
  • 6. a journey into a wondrous land whose boundaries are that of the imagination.
  • 10. Twilight Zone dealt with many topics… Frequently the topic of technology.
  • 11. However the common theme throughout the show wasn’t the technology itself
  • 12. The theme was the human condition
  • 13. 3 Technologies Each will shape our future
  • 15. Using references from the past, will give us a perspective of time, which we can use to estimate the future.
  • 16. Let’s begin with Big Data ? ?Big Data
  • 17. Big Data Extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.
  • 18. Data and Data Technologies 1961
  • 19. Data Storage in 1961 • Hard Disk Drive • 52 inches tall • 70 inches wide • 39 inch disks • Total Capacity 205MB • Had to be bolted to a concrete floor • Roughly 3.6 Million Dollars per GB
  • 20. Data and Data Technologies 1961 Today
  • 21. Data Storage in Today • 16 Terabytes • 2.5 inches • Price per GB has dropped to nearly 3 cents per GB
  • 22. More space = more data • More than 90% of all the data in the globe was generated over the course of past two years. • The total volume of data that the industry captures and stores, gets doubled in every 1.2 years.
  • 23. Data and Data Technologies 1961 Today 2020
  • 24. More space = more data • the amount of digital information that exists in the present time will grow from 3.2 zettabytes to 40 zettabytes, by 2020 • Equivalent to 125 million years worth of Twilight Zone episodes.
  • 25. Why??
  • 26. Data and Data Technologies 19611854
  • 27. 1854 Broad Street cholera outbreak Regarded as the founding event of the science of epidemiology (the study of the patterns, causes, and effects of health and disease conditions in defined populations)
  • 28. 1854 Broad Street cholera outbreak Dominant theory stated that Cholera spread by “Bad air” John Snow used statistics to illustrate the connection between the quality of the water source and cholera cases
  • 29. Data and Data Technologies Today Future
  • 30. Predicting Future Outbreaks Harvard researchers analyzed anonymous phone call records of 15 million users. Mobile phone data may be used to capture seasonal human movement patterns that are relevant for understanding childhood infectious diseases. Researchers plan to test if the same method is as effective in forecasting malaria and cholera outbreaks and eventually be used by doctors and other medical professionals.
  • 31. Predicting Future Outbreaks • Big Data could be used to predict outbreaks using a much broader forms of data: – Wearables – GPS Data (phones) – Thermostat Data (Nest) – Vehicle Data – Medical Data • Increased accuracy • Increased foresight
  • 32. Human Condition When is it socially acceptable to use our data and what types of data will we allow access to?
  • 33. Moving forward How will we make sense of zettabytes of data ?
  • 34. Bringing us to Machine Learning Machine Learning & AI ?Big Data
  • 35. Artificial Intelligence Computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision- making, and translation between languages.
  • 37. 1950s “AI” Research Begins • 1950 Alan Turing proposes the Turing Test as a measure of machine intelligence. • 1956 Dartmouth Conference, considered the birth of AI • 1958 Lisp language invented Results in big concepts • Reasoning as Search • Natural Language • Micro-worlds
  • 38. Big Ideas in Science • 1958 the first commercial nuclear power plant in the United States • 1959 Soviets land [unmanned] on the moon
  • 39. Problems & Limitations For decades, the capabilities of AI programs were limited. Even the most impressive could only handle trivial versions of the problems they were supposed to solve. • Limited Resources – Computing Power – Limited Storage & Memory
  • 40. Big Ideas in Science Fiction Sometimes big ideas need time for science to catch up before they can be made a reality.
  • 41. Big Ideas in Science Fiction Sometimes big ideas need time for science to catch up before they can be made a reality.
  • 43. Machine Learning Machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Machine learning explores the study and construction of algorithms that can learn from and make predictions on data.
  • 44. Artificial General Intelligence A hypothetical machine that could successfully perform any intellectual task that a human being can
  • 45. Artificial General Intelligence Fear of AGI today shouldn’t be our focus. We’re talking about Machine Learning. However, the human condition still applies.
  • 46. Machine Learning in Use Who • Google • Microsoft • Apple • Facebook • Amazon • Sitefinity Digital Experience Cloud • Government • And many, many more Why • Making personalized recommendations for customers • Natural Language – Siri, Cortana, Google Now • Forecasting long-term customer loyalty • Anticipating the future performance of employees • Rating the credit risk of loan applicants
  • 47. Predictions based on Data Machine Learning & AI Big Data Machine Learning & AI Today
  • 48. Machine Learning for the Masses • Azure Machine Learning • Amazon Machine Learning • TensorFlow (Google)
  • 49. Creepy Uses for ML Target Figured Out A Teen Girl Was Pregnant Before Her Father Did Unintended consequences, human condition.
  • 50. With Great Power… A computer scientist has pioneered an artificial intelligence-driven method of modeling the behaviors of militant groups, and the Department of Defense is interested.
  • 52. Much More Data Data Sources • Wearables • IoT • GPS Data (phones) • Thermostat Data (Nest) • Vehicle Data • Medical Data • 3d-video capture (Kinect) • Search history • Twitter history Scope of Data • Collected from birth • In every aspect of our lives • About all of our habits, likes, dislikes, moods • Data we have no use for today, can be useful tomorrow
  • 53. Moving forward What happens when we make sense of our data?
  • 54. Anonymous Data Anonymous Data can be reverse engineered manually. Sounds like an application for Machine Learning.
  • 55. The Decision Does benefit outweigh our need for privacy?
  • 57. Augmented Reality A live direct or indirect view of a physical, real- world environment whose elements are augmented (or supplemented) by computer-generated sensory input
  • 59. Heads Up 1958 the world's first Head Up Display in operational service
  • 61. HUD Powered AR • Google Glass • Success or Failure? • Human conditions – Privacy – Data collection – Socially Akward
  • 62. Mobile Powered AR • Camera provides a live image • Sensors and data are used to overlay information
  • 63. Mobile Powered AR This would be complete science fiction just a short time ago
  • 65. Enhanced Mobile Powered AR Translate signage in real time.
  • 67. Heads Up, Again Microsoft HoloLens Advances the abilities of AR by detecting physical space. Augments walls, floors, and other objects.
  • 72. AI Technologies 1958 Today Near Future Future
  • 73. The Next Dimension Using data as a virtual 4th dimension, many environments represented by data could occupy the same augmented real world space.
  • 76. Mind Uploading Redefined Personal “Big Data” collected over a lifetime could be equivalent to uploading one’s mind.
  • 77. Virtual Consciousness What are the implications of the virtual consciousness?
  • 79. Distant Future (alternate ending) Machine Learning & AI Augmented Reality Big Data Machine Learning & AI
  • 80. The Choice Is Ours Using technology we’ll predict and cure disease, create new areas of science, and solve real problems.
  • 82. Research History of hard disk drives - Wikipedia, the free encyclopedia Timeline of Computer History: 1959 | Computer History Museum Timeline of Computer History: 1958 | Computer History Museum A Very Short History Of Big Data - Forbes Page Not Found Timeline: 50 Years of Hard Drives | PCWorld Top 10 Amazing Facts To Know About Big Data 5 Most Prophetic Twilight Zone Episodes | Smells Like Infinite Sadness The incredible shrinking data center | Network World There’s No Such Thing as Anonymous Data courses.cs.washington.edu/courses/csep590/06au/projects/history-ai.pdf Illumin - Deep Blue: The History and Engineering behind Computer Chess Deep Blue (chess computer) - Wikipedia, the free encyclopedia The Three Breakthroughs That Have Finally Unleashed AI on the World | WIRED Predictive Analytics | When Machine Learning meets Real Life Machine Learning for Programmers: Leap from developer to machine learning practitioner - Machine Learning Mastery https://www.stat.auckland.ac.nz/~ihaka/downloads/Interface98.pdf Breakthroughs in Artificial Intelligence from 2014 | MIT Technology Review Artificial general intelligence - Wikipedia, the free encyclopedia The AI Resurgence: Why Now? - Innovation Insights Nuclear power in the United States - Wikipedia, the free encyclopedia machine learning used to predict and model isis - Business Insider How Target Figured Out A Teen Girl Was Pregnant Before Her Father Did - Forbes 4 no-bull takeaways about Google's machine learning project | InfoWorld History of artificial intelligence - Wikipedia, the free encyclopedia Timeline of artificial intelligence - Wikipedia, the free encyclopedia Dartmouth Conferences - Wikipedia, the free encyclopedia Data Science in the Cloud with Microsoft Azure Machine Learning and R - O'Reilly Media Free, Live Events Augmented Reality: Past, Present and Future - TNW Industry What Every Manager Should Know About Machine Learning Google is open-sourcing its new machine learning system behind Google Photos The biggest myths and misconceptions about artificial inteligence, from the experts John Snow (physician) - Wikipedia, the free encyclopedia Google researcher: We'll be "highly dependent’ on AI in the future Introducing U-SQL – A Language that makes Big Data Processing Easy - The Visual Studio Blog - Site Home - MSDN Blogs How It Works | Frameri Eyewear Phone data can predict infectious disease outbreaks IBM's 'Rodent Brain' Chip Could Make Our Phones Hyper-Smart | WIRED What is Microsoft doing with machine learning? Eric Horvitz on the new era of Artificial Intelligence | Microsoft Research Luminaries | Channel 9 Disney's $1 Billion Bet on a Magical Wristband | WIRED Videos | Barclay T. Blair Infographic: Trillion-Fold Rise in Computing Puts a 1985 Supercomputer on Our Wrists - Singularity HUBSingularity HUB Apple Acquires Augmented Reality Company Metaio | TechCrunch Augmented Reality in the Browser with Awe.js Top Augmented Reality Apps of Summer 2014 | Marxent Everyday AI – it’s not just about robots | ITProPortal.com Artificial intelligence: Should we be as terrified as Elon Musk and Bill Gates? | ZDNet Top 10 Amazing Facts To Know About Big Data Stephen Hawking, Elon Musk, and Bill Gates Warn About Artificial Intelligence | | Observer Big data & AI vs ISIS Antivirus Might Catch More Malicious Code Using Neural Networks | MIT Technology Review Home — TensorFlow
  • 83. Credits The Twilight ZoneTM The Twilight Zone Is a registered trademark of CBS Corporation. This presentation “Into the next dimension” is in no way affiliated with or endorsed by CBS and are used here under the terms of Fair Use as defined in United States Copyright Doctrine. Nor is it associated with Warner Bros., Viacom, New Line Cinema, United Paramount, The Scifi Channel, Cayuga Productions, Inc., the Serling Estate, or any of their affiliates which maintain trademarks on The Twilight Zone properties in part or in whole.
  • 84. More credits This presentation “Into the next dimension” is not affiliated with Megan Ellison or Annapurna Pictures. All trademarks and copyrights belong to their respective owners, and are used here under the terms of Fair Use as defined in United States Copyright Doctrine. Terminator is a registered trademark of StudioCanal Image S.A. This presentation “Into the next dimension” is not affiliated with Transcendence, Warner Brothers Pictures or Summit Entertainment. All trademarks and copyrights belong to their respective owners, and are used here under the terms of Fair Use as defined in United States Copyright Doctrine.

Notas do Editor

  1. Why the twilight zone?
  2. Twilight Zone aired in mid-centry The atomic age Back when the future looked futuristic Fins on everything and wild SciFi ideas
  3. The more space we create, the more space we fill. This is a human condition, if we see an empty space, we have the need to fill it. The result is an exponential growth in data.
  4. We’re creating massive amounts of data and uploading it to YouTube, FaceBook, Twitter, the web. We’re uploading things like Video, Wearable sensor data, IoT data, phone data, an infinite list of things that is constantly growing.
  5. Why do we need data? What can we use it for?
  6. Let’s go back in time before computers and see an important event where data changed the world.
  7. This is John Snow, physician He would use data to change the way we look at health, disease and the patterns that caused outbreaks.
  8. The dominant theory at the time was that foul smelling air spread disease, and death caused by Cholera. John took a simple map walked the city door to door collecting data. For each death from Cholera, he added a dot to his map. Eventually his data showed a trend. The highest collection of dots, seemed to gravitate around a water pump. While a nearby brewery had no cases of the outbreak. Because the people at the brewery drank beer for breakfast, lunch, and dinner. They weren’t exposed to the cholera in the water. Keep in mind, this was a time before germ theory. People didn’t understand how illness spread, because we didn’t fully understand what was even making us sick. Even without knowing about the germ that was making people sick, he was able to determine the source of the outbreak and question the “Bad Air” theorists. This would eventually result in clean drinking water and a immediate drop in infant mortality by 50% Later they would determine that the water supply may have been contaminated by a dirty diaper which was washed into a nearby cesspool that was too close to the watersupply.
  9. http://www.engadget.com/2015/08/30/princeton-harvard-rubella-kenya-phone-study/?ncid=rss_semi Today, we’re trying to predict outbreaks using other data. Harvard researches created a study where they used anonymous phone call records of 15 million users to understand human movement patterns. Researchers plan to use this model for forecasting outbreaks like malaria, rubella, cholera and eventually this will be accessible to the medical community.
  10. In the future our predictive capabilities could be better. Using other forms of data could give us even more insight into health patterns.
  11. Remember we have big ideas going on at this time. We are very ambitious. Major life changing events are taking place like nuclear power and space flight. We were doing things that were once science fiction.
  12. Our ideas surpassed our capabilities to execute.
  13. Just like nuclear power and space travel, sometimes big ideas need time to catch up.
  14. But eventually, since fiction becomes reality.
  15. Science fiction has given us ideas about AI. But were not talking about that kind of AI.
  16. The fear of AGI should be our focus. Our focus is on just a fraction of the AI universe, Machine Learning. We should dismiss all of our worries though, the human condition still applies. Machine Learning can get creepy really fast. Just not Terminator creepy.
  17. Everything we touch from the “software giants” google, Microsoft, apple use machine learning in some way. Things as trivial as the windows phone keyboard. Cortana, Siri, Google Now Microsoft Delve