- Dr. Charles H. Martin has over 15 years of experience applying machine learning and artificial intelligence, developing algorithms for companies like Demand Media, eBay, and BlackRock. - He discusses the history and academic roots of neural networks and deep learning, including pioneering work by researchers in the 1960s-1980s. - The document outlines several problems and applications that deep learning is well-suited for, such as image classification, speech recognition, self-driving cars, and improving medical diagnosis. It also discusses implications for jobs, education, and data-driven decision making.

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charles@calculationconsulting.com

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charles@caclulationconsulting.com

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Who Are We?
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Dr. Charles H. Martin, PhD
University of Chicago, Chemical Physics
NSF Fellow in Theoretical Chemistry
Over 15 years experience in Applied Machine Learning (ML) and AI
Developed ML algos for Demand Media; the first $1B IPO since Google
Lean Start Ups: Aardvark (acquired by Google), Swoop, …
Internet Giants: eHow, eBay, GoDaddy, …
Wall Street: BlackRock, GLG, …
Fortune 500: Big Pharma, Telecom, …
www.calculationconsulting.com
charles@calculationconsulting.com
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4. Neural Nets: Popular in the 80s-90s
my CPU is a neural net processor; a learning computer
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5. Neural Nets: Popular in the 80s-90s
Arnold takes over the world:AI is crazy dangerous
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6. What is Artificial Intelligence Today ?
deep learning: neural networks
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7. Academic Roots: Machine Intelligence
deep networks: some academic lineage
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Christopher Longuet-Higgins
famous UC post-doc, theoretical chemistry / physics
1967 created a new field:
Machine Intelligence and Perception
Geoff Hinton (Google)
Restricted Boltzmann Machines (RBMs, ~1995)
Deep Belief Nets (~2005)
Yann LeCun (Facebook)
Convolutional Neural Networks (CNNs)
Deep Belief Nets / Kaggle contest winner (~2006)
student
post doc
~same thing back then

8. Academic Roots: Neural Networks
neural networks: statistical physics of neurons
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9. Academic Roots: Neural Networks
neural networks: statistical physics of neurons
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Statistical mechanics; new concepts,
new problems, new applications
Freed, Rice, Light (1972)
Wilson -Cowan Model
stochastic model of
spiking neurons
Hopfield (Ising) Model
spin glass
associative memory
Kohonen
self-organizing maps

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the AI revolution will be as transformative as the Internet
Problems: What can Deep Learning do ?
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self driving cars
AlphaGo beats the world Go Champion
March 2016
The Sputnik Moment for China ?

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the AI revolution will be as transformative as the Internet
Problems: What can Deep Learning really do ?
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self driving cars

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the AI revolution will be as transformative as the Internet
Problems: What can Deep Learning do ?
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Internet
advertising
image classification
speech recognition
translation
semantics
chatbots
recommendations
Medicine
error reduction
cancer detection
diabetic grading
drug discovery
personalized med
Entertainment
video games
video search
interactive toys
Security
facial recognition
video surveillance
satellite imaging
border security
child safety
hacking
Machines
crash avoidance
robotics
automated factories
autonomous cars,
trucks, farming
boats, drones

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Implications: Medicine ?
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Udacity Self Driving Car Class
Deep Learning meets / beats doctors on diagnosing diabetic retinopathy

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the AI revolution may eliminate 50% of all jobs !
Implications: Jobs ?
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Udacity Self Driving Car Class

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the AI revolution may eliminate 50% of all jobs !
Implications: Jobs ?
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Udacity Self Driving Car Class

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the AI revolution may eliminate 50% of all jobs !
Implications: IT Outsourcing ?
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Udacity Self Driving Car Class

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the AI revolution will need advanced education and training
Implications: Education and Jobs ?
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Udacity Self Driving Car Class
5000 employees
1500 open positions
8000 employees
AngelList 3,352 companies
$4.9M AverageValuation

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the AI revolution will need advanced education and training
Implications: Education and Jobs ?
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Executive Level Training5000 students in online class
Udacity Self Driving Car Class
Can we really teach advanced math, physics, and engineering online ?

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the AI revolution will need advanced education and training
Implications: Education and Jobs ?
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Problem: The Cult of the Algorithm
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what are the dangers of proprietary algos ?
“We have an machine learning algo that anticipate
your wants and desires and manipulate your actions”

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“Artificial intelligence is the future, not only for Russian, but for all of humankind.
It comes with colossal opportunities, but also threats that are difficult to predict.
Whoever becomes the leader in this sphere will become the ruler of the world.”
Vladimir Putin

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the AI revolution will need advanced education and training
Implications: Education and Jobs ?
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Problem: The Cult of the Algorithm
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what are the dangers of proprietary algos ?
“We have an machine learning algo that anticipate
your wants and desires and manipulate your actions”

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charles@calculationconsulting.com