May 2021 Embedded Vision Summit Opening Remarks (May 26)
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/09/may-2021-embedded-vision-summit-opening-remarks-may-26/ Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the May 2021 Embedded Vision Summit on May 26, 2021. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the resources it offers for both product creators and members, and reviews the day’s agenda and other logistics.
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Nathan Wheeler, Co-founder and CEO of Network Optix, presents the “Nx EVOS: A New Enterprise Operating System for Video and Visual AI” tutorial at the May 2024 Embedded Vision Summit.
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Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
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Maurits Kaptein, Chief Data Scientist at Network Optix and Professor at the University of Eindhoven, presents the “Scaling Vision-based Edge AI Solutions: From Prototype to Global Deployment” tutorial at the May 2024 Embedded Vision Summit.
The Embedded Vision Summit brings together innovators in silicon, devices, software and applications and empowers them to bring computer vision and perceptual AI into reliable and scalable products. However, integrating recent hardware, software and algorithm innovations into prime-time-ready products is quite challenging. Scaling from a proof of concept—for example, a novel neural network architecture performing a valuable task efficiently on a new piece of silicon—to an AI vision system installed in hundreds of sites requires surmounting myriad hurdles.
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Jilei Hou, Vice President of Engineering and Head of AI Research at Qualcomm Technologies, presents the “What’s Next in On-device Generative AI” tutorial at the May 2024 Embedded Vision Summit.
The generative AI era has begun! Large multimodal models are bringing the power of language understanding to machine perception, and transformer models are expanding to allow machines to understand using multiple types of sensors. This new wave of approaches is poised to revolutionize user experiences, disrupt industries and enable powerful new capabilities. For generative AI to reach its full potential, however, we must deploy it on edge devices, providing improved latency, pervasive interaction and enhanced privacy.
In this talk, Hou shares Qualcomm’s vision of the compelling opportunities enabled by efficient generative AI at the edge. He also identifies the key challenges that the industry must overcome to realize the massive potential of these technologies. And he highlights research and product development work that Qualcomm is doing to lead the way via an end-to-end system approach—including techniques for efficient on-device execution of LLMs, LVMs and LMMs, methods for orchestration of large models at the edge and approaches for adaptation and personalization.
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Shuvra Bhattacharyya, Professor at the University of Maryland at College Park, presents the “Learning Compact DNN Models for Embedded Vision” tutorial at the May 2023 Embedded Vision Summit.
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Independent consultant Mohammad Haghighat presents the “Introduction to Computer Vision with Convolutional Neural Networks” tutorial at the May 2023 Embedded Vision Summit.
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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.
- 21. Exhibitors 21
- 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!
- 24. CONGRATULATIONS 2021 WINNERS! Best Edge AI and Vision Product
- 26. SeeWhoWants toConnectWithYou… Click “Show Interest” to complete the connection.
- 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…