Edge AI and Vision Alliance

“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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Edge AI and Vision Insights: September 14, 2022 Edition

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EMBEDDED DEEP LEARNING INFERENCE TensorFlow Lite for Microcontrollers: Recent Developments TensorFlow Lite Micro (TFLM) is a generic inference framework designed to run TensorFlow models on digital signal processors (DSPs), microcontrollers and other embedded targets with small memory footprints and very low power usage. TFLM aims to be easily portable to various embedded targets, from those

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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

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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

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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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“Ensuring Quality Data for Deep Learning in Varied Application Domains: Data Collection, Curation and Annotation,” a Presentation from Nemo @ Ridecell

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Gaurav Singh, Perception Lead and System Architect at Nemo @ Ridecell, presents the “Ensuring Quality Data for Deep Learning in Varied Application Domains: Data Collection, Curation and Annotation” tutorial at the May 2022 Embedded Vision Summit. In this presentation, Singh explores the data lifecycle for deep learning, with a particular emphasis on data curation and

“Ensuring Quality Data for Deep Learning in Varied Application Domains: Data Collection, Curation and Annotation,” a Presentation from Nemo @ Ridecell Read More +

“Selecting the Right Camera for Your Embedded Computer Vision Project,” a Presentation from Digital Sense

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Adrián Márques , Managing Partner at Digital Sense, presents the “Selecting the Right Camera for Your Embedded Computer Vision Project” tutorial at the May 2022 Embedded Vision Summit. The right camera can be key to the success of a computer vision project. For example, in an object detection or segmentation task, you can gain much

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“12+ Image Quality Attributes that Impact Computer Vision,” a Presentation from Commonlands

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Max Henkart, Optics Consultant and Owner of Commonlands LLC, presents the “12+ Image Quality Attributes that Impact Computer Vision” tutorial at the May 2022 Embedded Vision Summit. In this presentation, Henkart introduces key image quality metrics. He discusses how they impact the performance of geometric and CNN-based methods, along with providing key performance indicators (KPIs)

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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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