Technical Insights

“A Cost-Effective Approach to Modeling Object Interactions on the Edge,” a Presentation from Nemo @ Ridecell

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Arun Kumar, Perception Engineer at Nemo @ Ridecell, presents the “Cost-Effective Approach to Modeling Object Interactions on the Edge” tutorial at the May 2022 Embedded Vision Summit. Determining bird’s eye view (BEV) object positions and tracks, and modeling the interactions among objects, is vital for many applications, including understanding human interactions for security and road […]

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“COVID-19 Safe Distancing Measures in Public Spaces with Edge AI,” a Presentation from the Government Technology Agency of Singapore

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Ebi Jose, Senior Systems Engineer at GovTech, the Government Technology Agency of Singapore, presents the “COVID-19 Safe Distancing Measures in Public Spaces with Edge AI” tutorial at the May 2022 Embedded Vision Summit. Whether in indoor environments, such as supermarkets, museums and offices, or outdoor environments, such as parks, maintaining safe social distancing has been

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

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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

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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

Algorithms, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Summit 2022, Tools, Videos /

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

Algorithms, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Summit 2022, Tools, Videos /

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

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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

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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

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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

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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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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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