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Jeff Bier
Founder, Edge AI and Vision Alliance
President, BDTI
May 24, 2023
A View from the Summit
(Part 2)
What I Learned Yesterday
© 2023 Edge AI and Vision Alliance
Ruchi
Upadhyay,
ST
What I Learned Yesterday
© 2023 Edge AI and Vision Alliance
Ruchi
Upadhyay,
ST
Keurig
Dr
Pepper
What I Learned Yesterday
© 2023 Edge AI and Vision Alliance
Ruchi
Upadhyay,
ST
Simon
Morris,
Connected
Vision
Advisors
Keurig
Dr
Pepper
What I Learned Yesterday
© 2023 Edge AI and Vision Alliance
Fahed
Hassenat,
Sensor
Cortek
What I Learned Yesterday
© 2023 Edge AI and Vision Alliance
Jack
Sim,
Stradvision
Fahed
Hassenat,
Sensor
Cortek
What I Learned Yesterday
© 2023 Edge AI and Vision Alliance
Jack
Sim,
Stradvision
Fahed
Hassenat,
Sensor
Cortek
Florian
Domengie,
Yole
Opportunities: Health Care
Applications at Scale: Health Care
HeartFlow
VirtuSense
Kepler
Vision
Technologies
Applications at Scale: Health Care
Verily
Sight Diagnostics
What Machines See in the Human Retina
Erik
Topol,
Nature
Machine
Intelligence
• Earlier and more accurate detection of health issues
• More convenient care (e.g., at home)
• Less invasive tests
• More effective treatment
• Reduced costs
• U.S. healthcare spending is over $4 trillion, ~18% of GDP (as of 2021)1
• Worldwide healthcare spending is over $9 trillion, ~11% of GDP (as of 2020)2
Perceptual AI in Healthcare
12
© 2023 Edge AI and Vision Alliance
[1] Commonwealth Fund
[2] World Health Organization
Peterson-KFF Health System Tracker
Total U.S. Health Expenditures
as a % of Gross Domestic Product
Hazard Ahead: Bias
13
© 2023 Edge AI and Vision Alliance
• Perceptual and other forms of AI are
fueling powerful advances in healthcare
• As the role of AI grows, bias in
algorithms is a huge risk
“Dermatologist-level Detection of Suspicious
Pigmented Skin Lesions from Wide-field Images”
Soenksen, MIT News
Hazard Ahead: Bias
14
© 2023 Edge AI and Vision Alliance
CNN
Harvard H.T. Chan School of Public Health
• Perceptual and other forms of AI are
fueling powerful advances in healthcare
• As the role of AI grows, bias in
algorithms is a huge risk
• Regulators are showing interest in this
topic
• Perceptual and other forms of AI are
fueling powerful advances in healthcare
• As the role of AI grows, bias in
algorithms is a huge risk
• Regulators are showing interest in this
topic
• Minimizing harmful biases can’t be an
afterthought
Hazard Ahead: Bias
15
© 2023 Edge AI and Vision Alliance
Susan
Kennedy,
Santa
Clara
University
Sanjay
Nichani,
Peloton
Functions Served by Neural Networks
Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2022
13%
14%
18%
29%
30%
42%
48%
75%
83%
0% 20% 40% 60% 80% 100%
Panoptic segmentation*
Multi-modal sensory…
3D point-cloud analysis*
Instance segmentation*
Video analysis*
Semantic segmentation
Localization
Classification
Object detection
* Indicates new answer options in 2022
* Indicates new answer options in 2022
Functions Served by Neural Networks
Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2022
13%
14%
18%
29%
30%
42%
48%
75%
83%
0% 20% 40% 60% 80% 100%
Panoptic segmentation*
Multi-modal sensory…
3D point-cloud analysis*
Instance segmentation*
Video analysis*
Semantic segmentation
Localization
Classification
Object detection
* Indicates new answer options in 2022
* Indicates new answer options in 2022
18
© 2023 Edge AI and Vision Alliance
Tools Used for Managing and Automating
Deep Neural Network Training and Data
Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2022
Ranked as one of top three
41%
15% 15% 13% 10% 7% 6% 5% 3% 2% 2% 2% 2% 2%
7%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
20
Making the Most of Your Day
Wednesday Schedule
Check Out the Exhibits!
23
© 2023 Edge AI and Vision Alliance
Facility Map
24
© 2023 Edge AI and Vision Alliance
Upstairs
Ground Level
Speaker Office Hours (in the Speaker Square)
Today!
Greg Kostello
Huma.AI
Roland Memisivic
Qualcomm AI
Vivek Pradeep
Microsoft
Steve Teig
Perceive
Generative AI
11:30 am: Alex Thaman
Red Cell Partners
Bias in computer vision
systems
2:30 pm: Jason Lavene
Keurig Dr Pepper
Developing low-cost vision
systems
1:30 pm: Chris Rowen
Cisco
Machine learning for video
3:30 pm: Ian Riches
TechInsights
Automotive markets and
technologies
(All at 10:30 am)
Download Our App and Get the Full Summit
Agenda on Your Phone!
Check your email for login details from
noreply@event.embeddedvisionsummit.com
Questions? Need login help?
Visit Registration.
Turn on notifications to receive important reminders.
© 2023 Edge AI and Vision Alliance
Please fill out your Embedded Vision
Summit survey!
Completed surveys will be entered into a drawing for one of three
$100 Amazon gift cards.
© 2023 Edge AI and Vision Alliance
Thank You!
28
© 2023 Edge AI and Vision Alliance
Roland Memisevic
Qualcomm AI Research
Vivek Pradeep
Microsoft
Steve Teig
Perceive
Sally Ward-Foxton
EE Times
Panel on Generative AI:
How Will It Impact Edge Applications and
Machine Perception?
Greg Kostello
Huma.AI
Text your questions to +1 408-400-2702
Wednesday Schedule

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May 2023 Embedded Vision Summit Opening Remarks (May 24)

  • 1. Jeff Bier Founder, Edge AI and Vision Alliance President, BDTI May 24, 2023 A View from the Summit (Part 2)
  • 2. What I Learned Yesterday © 2023 Edge AI and Vision Alliance Ruchi Upadhyay, ST
  • 3. What I Learned Yesterday © 2023 Edge AI and Vision Alliance Ruchi Upadhyay, ST Keurig Dr Pepper
  • 4. What I Learned Yesterday © 2023 Edge AI and Vision Alliance Ruchi Upadhyay, ST Simon Morris, Connected Vision Advisors Keurig Dr Pepper
  • 5. What I Learned Yesterday © 2023 Edge AI and Vision Alliance Fahed Hassenat, Sensor Cortek
  • 6. What I Learned Yesterday © 2023 Edge AI and Vision Alliance Jack Sim, Stradvision Fahed Hassenat, Sensor Cortek
  • 7. What I Learned Yesterday © 2023 Edge AI and Vision Alliance Jack Sim, Stradvision Fahed Hassenat, Sensor Cortek Florian Domengie, Yole
  • 9. Applications at Scale: Health Care HeartFlow VirtuSense Kepler Vision Technologies
  • 10. Applications at Scale: Health Care Verily Sight Diagnostics
  • 11. What Machines See in the Human Retina Erik Topol, Nature Machine Intelligence
  • 12. • Earlier and more accurate detection of health issues • More convenient care (e.g., at home) • Less invasive tests • More effective treatment • Reduced costs • U.S. healthcare spending is over $4 trillion, ~18% of GDP (as of 2021)1 • Worldwide healthcare spending is over $9 trillion, ~11% of GDP (as of 2020)2 Perceptual AI in Healthcare 12 © 2023 Edge AI and Vision Alliance [1] Commonwealth Fund [2] World Health Organization Peterson-KFF Health System Tracker Total U.S. Health Expenditures as a % of Gross Domestic Product
  • 13. Hazard Ahead: Bias 13 © 2023 Edge AI and Vision Alliance • Perceptual and other forms of AI are fueling powerful advances in healthcare • As the role of AI grows, bias in algorithms is a huge risk “Dermatologist-level Detection of Suspicious Pigmented Skin Lesions from Wide-field Images” Soenksen, MIT News
  • 14. Hazard Ahead: Bias 14 © 2023 Edge AI and Vision Alliance CNN Harvard H.T. Chan School of Public Health • Perceptual and other forms of AI are fueling powerful advances in healthcare • As the role of AI grows, bias in algorithms is a huge risk • Regulators are showing interest in this topic
  • 15. • Perceptual and other forms of AI are fueling powerful advances in healthcare • As the role of AI grows, bias in algorithms is a huge risk • Regulators are showing interest in this topic • Minimizing harmful biases can’t be an afterthought Hazard Ahead: Bias 15 © 2023 Edge AI and Vision Alliance Susan Kennedy, Santa Clara University Sanjay Nichani, Peloton
  • 16. Functions Served by Neural Networks Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2022 13% 14% 18% 29% 30% 42% 48% 75% 83% 0% 20% 40% 60% 80% 100% Panoptic segmentation* Multi-modal sensory… 3D point-cloud analysis* Instance segmentation* Video analysis* Semantic segmentation Localization Classification Object detection * Indicates new answer options in 2022 * Indicates new answer options in 2022
  • 17. Functions Served by Neural Networks Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2022 13% 14% 18% 29% 30% 42% 48% 75% 83% 0% 20% 40% 60% 80% 100% Panoptic segmentation* Multi-modal sensory… 3D point-cloud analysis* Instance segmentation* Video analysis* Semantic segmentation Localization Classification Object detection * Indicates new answer options in 2022 * Indicates new answer options in 2022
  • 18. 18 © 2023 Edge AI and Vision Alliance
  • 19. Tools Used for Managing and Automating Deep Neural Network Training and Data Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2022 Ranked as one of top three 41% 15% 15% 13% 10% 7% 6% 5% 3% 2% 2% 2% 2% 2% 7% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  • 20. 20
  • 21. Making the Most of Your Day
  • 23. Check Out the Exhibits! 23 © 2023 Edge AI and Vision Alliance
  • 24. Facility Map 24 © 2023 Edge AI and Vision Alliance Upstairs Ground Level
  • 25. Speaker Office Hours (in the Speaker Square) Today! Greg Kostello Huma.AI Roland Memisivic Qualcomm AI Vivek Pradeep Microsoft Steve Teig Perceive Generative AI 11:30 am: Alex Thaman Red Cell Partners Bias in computer vision systems 2:30 pm: Jason Lavene Keurig Dr Pepper Developing low-cost vision systems 1:30 pm: Chris Rowen Cisco Machine learning for video 3:30 pm: Ian Riches TechInsights Automotive markets and technologies (All at 10:30 am)
  • 26. Download Our App and Get the Full Summit Agenda on Your Phone! Check your email for login details from noreply@event.embeddedvisionsummit.com Questions? Need login help? Visit Registration. Turn on notifications to receive important reminders. © 2023 Edge AI and Vision Alliance
  • 27. Please fill out your Embedded Vision Summit survey! Completed surveys will be entered into a drawing for one of three $100 Amazon gift cards. © 2023 Edge AI and Vision Alliance
  • 28. Thank You! 28 © 2023 Edge AI and Vision Alliance
  • 29. Roland Memisevic Qualcomm AI Research Vivek Pradeep Microsoft Steve Teig Perceive Sally Ward-Foxton EE Times Panel on Generative AI: How Will It Impact Edge Applications and Machine Perception? Greg Kostello Huma.AI Text your questions to +1 408-400-2702