Technical Insights

“Innovative Applications of Computer Vision for Power Utility Infrastructure Inspection,” a Presentation from Buzz Solutions

Vikhyat Chaudhry, Co-Founder, Chief Technology Officer and Chief Operating Officer of Buzz Solutions, presents the “Innovative Applications of Computer Vision for Power Utility Infrastructure Inspection” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Chaudhry delves into an innovative application of computer vision for power utility infrastructure inspection.… “Innovative Applications of Computer Vision […]

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“Better Farming through Embedded AI,” a Presentation from Blue River Technology

Chris Padwick, Director of Computer Vision Machine Learning at Blue River Technology, presents the “Better Farming through Embedded AI” tutorial at the May 2024 Embedded Vision Summit. Blue River Technology, a subsidiary of John Deere, uses computer vision and deep learning to build intelligent machines that help farmers grow more… “Better Farming through Embedded AI,”

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“Unveiling the Power of Multimodal Large Language Models: Revolutionizing Perceptual AI,” a Presentation from BenchSci

István Fehérvári, Director of Data and ML at BenchSci, presents the “Unveiling the Power of Multimodal Large Language Models: Revolutionizing Perceptual AI” tutorial at the May 2024 Embedded Vision Summit. Multimodal large language models represent a transformative breakthrough in artificial intelligence, blending the power of natural language processing with visual… “Unveiling the Power of Multimodal

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“Harm and Bias Evaluation and Solution for Adobe Firefly,” a Presentation from Adobe

Rebecca Li, Machine Learning Engineering Manager at Adobe, presents the “Harm and Bias Evaluation and Solution for Adobe Firefly” tutorial at the May 2024 Embedded Vision Summit. In this talk, Dr. Li explores the comprehensive approach Adobe has taken to mitigate harm and bias for Firefly, Adobe’s groundbreaking AI art… “Harm and Bias Evaluation and

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“Enabling Smart Retail with Visual AI,” a Presentation from 365 Retail Markets

Himanshu Vajaria, Engineering Manager at 365 Retail Markets, presents the “Enabling Smart Retail with Visual AI” tutorial at the May 2024 Embedded Vision Summit. Automated checkout systems are on the rise—preferred by customers and businesses alike. However, most systems rely on the customer scanning one product at a time and… “Enabling Smart Retail with Visual

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“Camera Interface Standards for Embedded Vision Applications,” an Interview with the MIPI Alliance

Haran Thanigasalam, Camera and Imaging Consultant for the MIPI Alliance, talks with Shung Chieh, Senior Vice President at Eikon Systems, for the “Exploring MIPI Camera Interface Standards for Embedded Vision Applications” interview at the May 2024 Embedded Vision Summit. This insightful interview delves into the relevance and impact of MIPI… “Camera Interface Standards for Embedded

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“Identifying and Mitigating Bias in AI,” a Presentation from Intel

Nikita Tiwari, AI Enabling Engineer for OEM PC Experiences in the Client Computing Group at Intel, presents the “Identifying and Mitigating Bias in AI” tutorial at the May 2024 Embedded Vision Summit. From autonomous driving to immersive shopping, and from enhanced video collaboration to graphic design, AI is placing a… “Identifying and Mitigating Bias in

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“Augmenting Visual AI through Radar and Camera Fusion,” a Presentation from Au-Zone Technologies

Sébastien Taylor, Vice President of Research and Development for Au-Zone Technologies, presents the “Augmenting Visual AI through Radar and Camera Fusion” tutorial at the May 2024 Embedded Vision Summit. In this presentation Taylor discusses well-known limitations of camera-based AI and how radar can be leveraged to address these limitations. He… “Augmenting Visual AI through Radar

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“Leveraging Neural Architecture Search for Efficient Computer Vision on the Edge,” a Presentation from NXP Semiconductors

Hiram Rayo Torres Rodriguez, Senior AI Research Engineer at NXP Semiconductors, presents the “Leveraging Neural Architecture Search for Efficient Computer Vision on the Edge” tutorial at the May 2024 Embedded Vision Summit. In most AI research today, deep neural networks (DNNs) are designed solely to improve prediction accuracy, often ignoring… “Leveraging Neural Architecture Search for

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“Learning Compact DNN Models for Embedded Vision,” a Presentation from the University of Maryland at College Park

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. In this talk, Bhattacharyya explores methods to transform large deep neural network (DNN) models into effective compact models. The transformation process that… “Learning Compact DNN Models for

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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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