the world's first collaborative machine-intelligence competition to
TRANSCRIPT
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The world’s first collaborative machine-intelligence competition to overcome spectrum scarcity
Paul TilghmanProgram Manager, DARPA/MTO
8/10/16
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DARPA Conference Center Procedures
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SC2 Competitor Information Day Overview
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• Attendance for today• For individuals and teams interested in participating in SC2• For interested Proposal Track teams• For interested Open Track teams• Available in-person and online
• The event is not open to the press. If you are with the press, we please ask you to sign out of the Webinar and contact [email protected]
SC2 Information Day Procedure
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Skillsets
Distribution Statement 11
Teaming: Badge Based Matchmaking
Not Teaming
SDR
DSP
HW
AI-ML
COMMS
NET
TBD
RF Hardware (HW)
Digital Signal Processing (DSP)
Software Defined Radio (SDR)
Artificial Intelligence / Machine Learning (AI-ML)
Networking Protocols (NET)
Communications Technology (COMMS)
Other (TBD)
Participant NameParticipant organization
Participant NameParticipant organization
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All the slides from today’s presentation are available on our website
www.SpectrumCollaborationChallenge.com
Slides from this presentation
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• All questions must be submitted in written form• Submit questions to: [email protected]
• Those attending in person are encouraged to submit questions via email• Index cards provided if needed
• One question per submission• Keep questions succinct. No multipart questions
Really, one question, per email or per card
Questions
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Exploit the intersection of Artificial Intelligence and Software Defined Radio…
To usher in a new era of spectrum sharing…
Based on collaborative optimization of the spectrum…
By designing Collaborative Intelligent Radio Networks (CIRNs)
Spectrum Collaboration ChallengeCompetitor Overview
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8:00 - 9:00 Registration & Teaming9:00 - 9:15 Orientation9:15 - 9:45 Opening Remarks (DARPA & History of Grand Challenges)
9:45 - 10:30 Program Motivation10:30 - 11:00 BREAK11:00 - 11:20 Program Structure11:20 - 12:00 Proposal Track Participation Details12:00 - 1:00 LUNCH1:00 - 1:30 Q&A Session 11:30 - 2:00 Open Track Participation Details2:00 - 2:45 Colosseum (Testbed) Overview2:45 - 3:15 BREAK3:15 - 3:45 Q&A Session 23:45 - 4:00 Schedule & Closing Remarks4:00 - 5:00 Teaming Discussions
Agenda
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Opening Remarks
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DARPA Challenges – A look at 2020
Dr. William Chappell, Director MTODr. Yifty Eisenberg, Deputy Director MTO
Microsystems Technology Office
August, 2016
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• PM tenure is typically 3-5 years • ~90 Program Managers• ~$2.9B in FY2016• ~250 programs across 6 technology offices
------------------------------------------------------------------------------------------
• Reactive to new ideas • Portfolio is heavily shaped by the program managers• Responsible for proving new technologies are possible• Focus on emerging “big opportunities” and initiate ambitious “projects”
DARPA 101
Because DARPA is constantly changing as an agency, it is difficult to predict what will be of interest in the 2020 timeframe.
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DARPA challenges
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DARPA Grand Challenge
In 2005, the autonomous vehicles were able to leverage a probabilistic algorithm to map out optimal driving routes for the vehicle.
2004 – 0 vehicles finished
2005 – 5 vehicles finished
2007 – 4 vehicles finished
DARPA Autonomous Vehicle Grand ChallengeA push to develop autonomous vehicle capabilities
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2000 2010 2020
HACMS
Google self-driving car has driven >1.5M miles autonomously on the
streets of 4 major US cities
CODE FLADARPA Grand
Challenge ?
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DARPA “Red Balloon” Challenge
The Red Balloon Challenge was designed to use social networks to mobilize groups of people in solving a distributed, geo-located, time-urgent problem.
In 9 hours, MIT was able to correctly locate 10 red weather balloons deployed at undisclosed points across the U.S.
Relied on viral collaboration and monetary incentives to build a network of thousands of balloon hunters
Used human analysis of submitted information to extract and verify data
DARPA “Red Balloon” ChallengeAn experiment in social media, crowdsourcing, and open innovation
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2000 2010 2020
DARPA hires 2 social
scientists
NGS2DARPA Red
Balloon Challenge ?
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DARPA Robotics Challenge
The competition showed potential and pointed to a different future, but better sensors and smarter processors are still required.
2012 – 11 teams funded through disaster response phase
2013 – 8 teams earn funding through the DRC finals
2015 – Team KAIST beats 23 other teams for $3.5M
DARPA Robotics ChallengeDeveloping autonomous ground robots
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DARPA Robotics Challenge
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…but better sensors and smarter processing are still required.The competition showed potential and pointed to a different future…
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Better Sensors: Physically static, scanning optical phased arrays
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Emitt
ed O
ptic
al P
ower
(W)
0.1
1
10
100
1,000
10,000
0.01 0.1 1 10 100 1,000
Long-Range
Comms
Long-Range LIDAR
Emitter Area
Scalable, steerable and coherent optical transmit/receive tiles to enable
LIDAR and communications
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0 – 105 Hz freq. scan
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Smarter Processing: Action recognition and feedback
• 108,249 Images• 4.2 Million Image Descriptions• 1.7 Million Visual Question Answers• 2.1 Million Object Instances• 1.8 Million Attributes• 1.8 Million Relationships• Everything Mapped to Wordnet Synsets
Machine Learning Scene Intelligence
village
playing game
Relationshipriding
day time
dirt road
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© Stanford University
© Stanford University© Stanford University
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2000 2010 2020
?DARPA Robotics
Challenge MOABBCortical
Processor
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DARPA Cyber Grand Challenge
2014 – 104 teams registered 2015 – 7 teams hack their way to the finals 2016 – 8/4/2016; Las Vegas, NV; $3.75M
Xandra discovered and proved an unintended vulnerability and exercised it against opponents. Jima observed Xandra exploiting the vulnerability,
and successfully defended against it.
DEF CON 24 First time a machine was allowed to play in the
historically all-human tournament.
DARPA Cyber Grand ChallengeA tournament for fully automated network defense
www.cybergrandchallenge.com
1st Place$2M
2nd Place$1M
3rd Place$750K
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2000 2010 2020
DARPA Cyber Grand Challenge ?
Round 1
Round 2
Finals
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DARPA Spectrum Challenge
DARPA Spectrum ChallengeA challenge for spectrum sharing
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Redefining the role between human and machine
Poor (20%) Better (52%) Best (76%)
frequency
time
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2000 2010 2020
?DARPA Spectrum
Challenge
DARPA Spectrum Collaboration
Challenge