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Introduction to Today’s
Program – How to Get the
Most Out of the Summit
Jeff Bier
Edge AI and Vision Alliance
May 26, 2021
• To solve many real-world problems, we need AI systems that
go beyond pattern recognition, to perception-action.
• Reinforcement learning (RL) is a promising approach for
perception-action loops.
• There’s been major progress to overcome previous limitations of RL.
• Simulation, imitation, and contrastive learning are powerful
ways to collect and generate action-reward data.
• State-based learning is more effective than pixel-based
learning – and can be applied to today’s vision-based problems.
• Real-world application requirements are much more difficult to
achieve than research goals.
• RL is beginning to be deployed successfully in selected commercial applications.
2
Pieter Abbeel Keynote – My Takeaways
• We’re in the early stages of a transition
from code-driven to data-driven
engineering.
• Increasingly sophisticated tools mean that
not everyone who uses ML must be an
ML expert.
• ML in production means more than training
and deploying models: security, revision control,
lifecycle management.
• Machine learning is being deployed
on a vast range of embedded processors –
from low-end MCUs up.
3
Zach Shelby – Edge Impulse: Democratization of
Embedded ML
Source:
Zach Shelby,
Edge Impulse
• In object detection, spatial quality is
as important as label quality.
• A new metric for object detection,
“probabilistic detection quality,”
captures performance of both the
“what” and the “where”.
• Monte Carlo dropout based inference –
ensemble averaging but within a single network!
• Improved performance demonstrated for YOLO v3.
4
Partha Maji (ARM) – Dataset Shifts
Source:
Partha Maji ARM
• Bias is pervasive in neural networks due
training set data class imbalance
• In some application such as face
recognition this translates into
discrimination
• Need to optimize for worst-case accuracy
rather than average accuracy
• New idea: Re-massing – in training, rare
data with more work to do gets more time
to do it
5
Steve Teig (Perceive) – Bias in ML
Source: Steve Teig, Perceive
6
Today’s Schedule
Conference Tracks
ENABLING TECHNOLOGIES
FUNDAMENTALS
ENABLING TECHNOLOGIES
TECHNICAL INSIGHTS
BUSINESS INSIGHTS
Most Challenging Areas of Computer Vision
Product Development
Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2020
On-Demand-Only Content
9
• 28 high-quality sessions in the On-Demand Only section!
• Fundamentals, Technical Insights, and Business Insights tracks
Questions for the Speaker?
Ask your questions to our
speakers any time using
the Chat tab.
Recordings of Previous Live Sessions
11
To access recordings of sessions
previously presented live, click on
“Event Agenda,” then scroll up
through the agenda.
Variety of Session Formats
12
Fast-Paced Live Technology Demos
13
Find the building block technologies you need with
fast-paced, live Technology Demos!
TODAY!
1:00 pm – 2:00 pm PT
Technology Demos Format
14
Get your questions answered ➔
Filter the Demos
Filter by track to hone in the demos of interest to you
Add Demos to Your Calendar
Click “Send to Calendar” to add to your
Outlook or Google calendar.
Demos Repeat Every 15 Minutes
Demos will repeat every 15 minutes within their
scheduled one-hour live blocks each day. Most
demos appear every day of the event.
Are You a Safari User?
Safari users will experience problems connecting to Zoom audio.
Please use a different browser to visit the live Technology Demos.
Troubleshooting
Problems with audio/video browser permissions?
Refresh your browser window.
Still Need Help?
If you're still having trouble...
Reach out to our support team via the Chat or Help
icon in the lower left of your screen.
Exhibitors
21
Learn More by Visiting Exhibitors
Click the company name link to
learn more and connect!
Meet with Exhibitors
Request a meeting
to efficiently
get expert answers
to your questions!
CONGRATULATIONS 2021 WINNERS!
Best
Edge AI
and Vision
Product
Schedule-at-a-Glance
25
SeeWhoWants toConnectWithYou…
Click
“Show Interest”
to complete
the connection.
See Who Wants to Meet With You…
Accept meeting requests to schedule live
conversations with colleagues.
On May 27 (Thurs.) and May 28 (Fri.) at 9 am PT I will:
• Recap Summit highlights from the past day or two
• Preview what’s coming up next
• Share data and insights, including:
• Results from the Edge AI and Vision Alliance’s Computer Vision Developer Survey
• Observations on key technology and industry challenges
• “Lighthouse” applications
• Market research highlights
• Join me!
28
Daily Remarks with Jeff Bier
Thanks to Our Sponsors!
29
PREMIER
Thanks to Our Sponsors!
30
PREMIER
What We Need to Transform Lives and
Industries with On-Device AI, Cloud and 5G
Ziad Asghar
VP Product Management, Qualcomm
GENERAL SESSION
Find It on the Agenda
…then press the “play” button
to launch the stream.
Click on the session title for details…

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May 2021 Embedded Vision Summit Opening Remarks (May 26)

  • 1. Introduction to Today’s Program – How to Get the Most Out of the Summit Jeff Bier Edge AI and Vision Alliance May 26, 2021
  • 2. • To solve many real-world problems, we need AI systems that go beyond pattern recognition, to perception-action. • Reinforcement learning (RL) is a promising approach for perception-action loops. • There’s been major progress to overcome previous limitations of RL. • Simulation, imitation, and contrastive learning are powerful ways to collect and generate action-reward data. • State-based learning is more effective than pixel-based learning – and can be applied to today’s vision-based problems. • Real-world application requirements are much more difficult to achieve than research goals. • RL is beginning to be deployed successfully in selected commercial applications. 2 Pieter Abbeel Keynote – My Takeaways
  • 3. • We’re in the early stages of a transition from code-driven to data-driven engineering. • Increasingly sophisticated tools mean that not everyone who uses ML must be an ML expert. • ML in production means more than training and deploying models: security, revision control, lifecycle management. • Machine learning is being deployed on a vast range of embedded processors – from low-end MCUs up. 3 Zach Shelby – Edge Impulse: Democratization of Embedded ML Source: Zach Shelby, Edge Impulse
  • 4. • In object detection, spatial quality is as important as label quality. • A new metric for object detection, “probabilistic detection quality,” captures performance of both the “what” and the “where”. • Monte Carlo dropout based inference – ensemble averaging but within a single network! • Improved performance demonstrated for YOLO v3. 4 Partha Maji (ARM) – Dataset Shifts Source: Partha Maji ARM
  • 5. • Bias is pervasive in neural networks due training set data class imbalance • In some application such as face recognition this translates into discrimination • Need to optimize for worst-case accuracy rather than average accuracy • New idea: Re-massing – in training, rare data with more work to do gets more time to do it 5 Steve Teig (Perceive) – Bias in ML Source: Steve Teig, Perceive
  • 7. Conference Tracks ENABLING TECHNOLOGIES FUNDAMENTALS ENABLING TECHNOLOGIES TECHNICAL INSIGHTS BUSINESS INSIGHTS
  • 8. Most Challenging Areas of Computer Vision Product Development Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2020
  • 9. On-Demand-Only Content 9 • 28 high-quality sessions in the On-Demand Only section! • Fundamentals, Technical Insights, and Business Insights tracks
  • 10. Questions for the Speaker? Ask your questions to our speakers any time using the Chat tab.
  • 11. Recordings of Previous Live Sessions 11 To access recordings of sessions previously presented live, click on “Event Agenda,” then scroll up through the agenda.
  • 12. Variety of Session Formats 12
  • 13. Fast-Paced Live Technology Demos 13 Find the building block technologies you need with fast-paced, live Technology Demos! TODAY! 1:00 pm – 2:00 pm PT
  • 14. Technology Demos Format 14 Get your questions answered ➔
  • 15. Filter the Demos Filter by track to hone in the demos of interest to you
  • 16. Add Demos to Your Calendar Click “Send to Calendar” to add to your Outlook or Google calendar.
  • 17. Demos Repeat Every 15 Minutes Demos will repeat every 15 minutes within their scheduled one-hour live blocks each day. Most demos appear every day of the event.
  • 18. Are You a Safari User? Safari users will experience problems connecting to Zoom audio. Please use a different browser to visit the live Technology Demos.
  • 19. Troubleshooting Problems with audio/video browser permissions? Refresh your browser window.
  • 20. Still Need Help? If you're still having trouble... Reach out to our support team via the Chat or Help icon in the lower left of your screen.
  • 22. Learn More by Visiting Exhibitors Click the company name link to learn more and connect!
  • 23. Meet with Exhibitors Request a meeting to efficiently get expert answers to your questions!
  • 27. See Who Wants to Meet With You… Accept meeting requests to schedule live conversations with colleagues.
  • 28. On May 27 (Thurs.) and May 28 (Fri.) at 9 am PT I will: • Recap Summit highlights from the past day or two • Preview what’s coming up next • Share data and insights, including: • Results from the Edge AI and Vision Alliance’s Computer Vision Developer Survey • Observations on key technology and industry challenges • “Lighthouse” applications • Market research highlights • Join me! 28 Daily Remarks with Jeff Bier
  • 29. Thanks to Our Sponsors! 29 PREMIER
  • 30. Thanks to Our Sponsors! 30 PREMIER
  • 31. What We Need to Transform Lives and Industries with On-Device AI, Cloud and 5G Ziad Asghar VP Product Management, Qualcomm GENERAL SESSION
  • 32. Find It on the Agenda …then press the “play” button to launch the stream. Click on the session title for details…