Deep learning is having a profound impact on AI applications. With the future of neural network-inspired computing in mind, re:Invent is hosting the first ever Deep Learning Summit. Designed for developers to learn about the latest in deep learning research and emerging trends, attendees will hear from industry thought leaders—members of the academic and venture capital communities—who will share their perspectives in 30-minute Lightning Talks. The Summit will be held on Thursday, November 30th at the Venetian from 1-5pm. The Deep Learning Revolution - Terrence Sejnowski, The Salk Institute for Biological Studies Eye, Robot: Computer Vision and Autonomous Robotics - Aaron Ames & Pietro Perona, California Institute of Technology Exploiting the Power of Language - Alexander Smola, Amazon Web Services Reducing Supervision: Making More with Less - Martial Herbert, Carnegie Mellon University Learning Where to Look in Video - Kristen Grauman, University of Texas Look, Listen, Learn: The Intersection of Vision and Sound - Antonio Torralba, MIT Investing in the Deep Learning Future - Matt Ocko, Data Collective Venture Capital

1. Investing in the Deep Learning Future
Matt Ocko, Data Collective Venture Capital

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of DCVC Management Co, LLC
Ranked #1 or #2 AI and deep tech investor globally by Deloitte, others
(Nervana, Element, Planet, Atomwise, Recursion, Zymergen, Rocket
Lab)
Over $1 billion in up-round financings in our deep tech portfolio – and $1
billion in M&A transactions – in the last 12 months alone
115+% historical IRR across 25 years of investing
Less than 20% loss rate (while creating $billions in value for decades)

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Rotimatic:
“Equipped with patented AI technology” NIPS (premier ML conference) attendance
6000
5000
4000
3000
2000
1000
0
ATTENDANCE
‘10 ’11 ‘12 ‘13 ‘14 ‘15 ‘16
YEARS
“Beer brewed by AI”

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Artificial
Intelligence
Robotics /
HW Advantage
Proprietary
Data
Huge
Compute

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Food Water Power
Health Safety Industry
Wealth /
National
Advantage
Environment /
National
Survival

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WORLD’S
PROBLEM TECHNOLOGY
B2B/B2C
PROBLEM
requires trivializes
• Decoding the
genome
• Graph algebra &
cutting edge AI
• Realtime
lending risk
• Mapping the
entire world
• Computer vision
and DNN at
huge scale
• Consumer
mapping and
merchant
location
• Catching
terrorists before
they act
• AI that can
decode human
intent in
advance
• Merchant
adoption of
payment
systems
primer

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The synthesis which
produces novel insights
• Apes full reasoning
• Insights beyond human
experts
• Faster to produce, iterate
• Never forgets / perfect
loop
INVENTION
Extracting causation and
correlation (pattern detection)
• Huge scope, size, speed
• Complexity, features,
latency
• Across time domains /
memory
DISCOVERY
Adding another layer of signal
processing (see, hear, detect)
• Nanosec to decades-long
attention span
• Multiple non-human
spectra
• Superhuman
subtlety/discretion
PERCEPTION

9. • How to acquire on finite capital?
–Unloved industries
• Big boys buying their way in
–Weaponize trust
• Avoid entirely
–Algorithms still matter (e.g., sub hunting)
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10. • Mission
–Avoids expensive mercenaries
• Age is a superpower
–Double your recruiting field
• It’s just math
–Double it again
• Deep verticals
–Experience matters more than last paper in ACM
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11. • Chip innovation
–Training & evaluation becoming asymmetrical
• Understanding the metal matters
–Precision improvements, doing more with less
• Understand deployment constraints
–Urgent need for local ops in world of sh—ty LTE
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of DCVC Management Co, LLC

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15. • Multi-cloud
–Dependency on one chip, proprietary APIs = risk
• Multi-founder
–VCs get skeeved out by one founder
• Depth or traction, show up with one
–Hardest problem in the world OR
–Engagement with adoring early customers
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THANK YOU
Matt Ocko
Managing Partner, DCVC
Twitter: @mattocko, @DCVC