Machine Intelligence: A Startup Adventure
Hilary Mason
@hmason
Technology is changing.
(and people stay the same)
Machine Intelligence.
By Gene Kogan, based on the paper by Gatys, Ecker, Bethge.
Data products are everywhere.
Rules- based Creative
Repetitive
Affordable computation.
And we are just at the beginning!
None of this is entirely new.
What it means to be a Computer Scientist is changing.
math &stats
code
communication
nerds
nerds
nerds
awesomenerds!
Data science:
Predicting the future is hard.
Where does innovation come from?
The System is Complex.
Creating an organization is just deploying a different kind of infrastructure.
We focus on innovation opportunities through data and
algorithms.
Academic ResearchStartups
Established Companies
The biggest opportunities might surprise you.
What makes a machine intelligence technology ‘interesting’?
1) a theoretical breakthrough
2) a change in economics
http://www.mkomo.com/cost-per-gigabyte
3) a capability becomes a commodity
4) new data is available
4b) data is made useful
We create reports and prototypes around each emerging capability,
and give advice.
papers + prototypes
“nerd friends”
growth
Working with a broad set of companies leads us to generally
appealing applications.
Efficient models for learning from streams of data as they are
generated.
You’re building the future. Please build the one you want to live in.
¯\_(ツ)_/¯
I’m Hilary. @hmason. [email protected]
Thank you!!
Photo & Project Credits
• NASA’s Marshall Space Flight Center, http://luvit.me/1Oown6H
• Pentametron, by Ranjit Bhatnagar, https://twitter.com/pentametron
• StyleNet paper by Gatys, Ecker, Bethge http://arxiv.org/abs/1508.06576
• Hand on smartphone, www.japanexperterna.se/?attachment_id=3068
• Sunflower by Raffaele Camardella, http://luvit.me/1LISN1T
• Magic Rabbit by Jenn and Tony Bot, http://upvot.es/1MnLp6u
• ProPublica Surgeon Scorecard, https://projects.propublica.org/surgeons/
• Google Deep Dream, https://github.com/google/deepdream