Technical Insights

“Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding,” a Presentation from Google

Zizhao Zhang, Staff Research Software Engineer and Tech Lead for Cloud AI Research at Google, presents the “Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding” tutorial at the May 2022 Embedded Vision Summit. In computer vision, hierarchical structures are popular in vision transformers (ViT). In this talk, Zhang presents a novel idea of […]

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“Responsible AI and ModelOps in Industry: Practical Challenges and Lessons Learned,” a Presentation from Fiddler AI

Krishnaram Kenthapadi, Chief Scientist at Fiddler AI, presents the “Responsible AI and ModelOps in Industry: Practical Challenges and Lessons Learned” tutorial at the May 2022 Embedded Vision Summit. How do we develop machine learning models and systems taking fairness, explainability and privacy into account? How do we operationalize models in production, and address their governance,

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“Comparing ML-Based Audio with ML-Based Vision: An Introduction to ML Audio for ML Vision Engineers,” a Presentation from DSP Concepts

Josh Morris, Engineering Manager at DSP Concepts, presents the “Comparing ML-Based Audio with ML-Based Vision: An Introduction to ML Audio for ML Vision Engineers” tutorial at the May 2022 Embedded Vision Summit. As embedded processors become more powerful, our ability to implement complex machine learning solutions at the edge is growing. Vision has led the

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“System Imperatives for Audio and Video AI at the Edge,” a Presentation from Cisco

Chris Rowen, VP of AI Engineering for Webex Collaboration at Cisco, presents the “System Imperatives for Audio and Video AI at the Edge” tutorial at the May 2022 Embedded Vision Summit. At long last, we are past the hype stage for media AI. Audio and video machine learning are becoming common tools for embedded hardware

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“Knowledge Distillation of Convolutional Neural Networks,” a Presentation from Bending Spoons

Federico Perazzi, Head of AI at Bending Spoons, presents the “Knowledge Distillation of Convolutional Neural Networks” tutorial at the May 2022 Embedded Vision Summit. Convolutional neural networks are ubiquitous in academia and industry, especially for computer vision and language processing tasks. However, their superior ability to learn meaningful representations in large-scale data comes at a

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“Data Versioning: Towards Reproducibility in Machine Learning,” a Presentation from Tryolabs

Nicolás Eiris, Machine Learning Engineer at Tryolabs, presents the “Data Versioning: Towards Reproducibility in Machine Learning” tutorial at the May 2022 Embedded Vision Summit. Surprisingly in 2022, reproducibility is still a big pain point in most data science workflows. A critical element required for reproducibility is version control. Unfortunately, in machine learning there is a

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“Using Kubernetes to Speed Development and Deployment of Edge Computer Vision Applications,” a Presentation from Camio

Rakshit Agrawal, Vice President of Research and Development at Camio, presents the “Using Kubernetes to Speed Development and Deployment of Edge Computer Vision Applications” tutorial at the May 2022 Embedded Vision Summit. In this session, Agrawal presents real-world deployments of computer vision solutions using Kubernetes and shows how containerization enables continuous AI updates on a

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“Open Standards: Powering the Future of Embedded Vision,” a Presentation from the Khronos Group

Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, presents the “Open Standards: Powering the Future of Embedded Vision” tutorial at the May 2022 Embedded Vision Summit. Open standards play an important role in enabling interoperability for efficient deployment of vision-based systems. In this session, Trevett shares an update

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“How Transformers are Changing the Direction of Deep Learning Architectures,” a Presentation from Synopsys

Tom Michiels, System Architect for DesignWare ARC Processors at Synopsys, presents the “How Transformers are Changing the Direction of Deep Learning Architectures” tutorial at the May 2022 Embedded Vision Summit. The neural network architectures used in embedded real-time applications are evolving quickly. Transformers are a leading deep learning approach for natural language processing and other

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“Embedded Vision in Robotics, Biotech and Education,” a Conversation with Dean Kamen

Dean Kamen, Founder of DEKA Research and Development, talks with Jeff Bier, Founder of the Edge AI and Vision Alliance, for the “Embedded Vision in Robotics, Biotech and Education” fireside chat at the May 2022 Embedded Vision Summit. In his 2018 keynote presentation at the Embedded Vision Summit, legendary inventor and technology visionary Dean Kamen

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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