Algorithms

“Implementing Transformer Neural Networks for Visual Perception on Embedded Devices,” a Presentation from VeriSilicon

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Shang-Hung Lin, Vice President of Neural Processing Products at VeriSilicon, presents the “Implementing Transformer Neural Networks for Visual Perception on Embedded Devices” tutorial at the May 2024 Embedded Vision Summit. Transformers are a class of neural network models originally designed for natural language processing. Transformers are also powerful for visual… “Implementing Transformer Neural Networks for […]

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“Optimized Vision Language Models for Intelligent Transportation System Applications,” a Presentation from Nota AI

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Tae-Ho Kim, Co-founder and CTO of Nota AI, presents the “Optimized Vision Language Models for Intelligent Transportation System Applications” tutorial at the May 2024 Embedded Vision Summit. In the rapidly evolving landscape of intelligent transportation systems (ITSs), the demand for efficient and reliable solutions has never been greater. In this… “Optimized Vision Language Models for

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Understanding What the Machines See: State-of-the-art Computer Vision at CVPR 2024

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This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm’s accepted papers, demos and workshops at CVPR 2024 showcase the future of generative AI and perception The Computer Vision and Pattern Recognition Conference (CVPR) 2024 begins on Monday, June 17, and Qualcomm Technologies is excited to

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“Image Signal Processing Optimization for Object Detection,” a Presentation from Nextchip

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Young-Jun Yoo, Executive Vice President at Nextchip, presents the “Image Signal Processing Optimization for Object Detection” tutorial at the May 2024 Embedded Vision Summit. This talk delves into the challenges and optimization strategies in image signal processing (ISP) for enhancing object detection in advanced driver-assistance systems (ADAS). Through real-world examples,… “Image Signal Processing Optimization for

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Understanding Spatial Noise and Its Reduction Methods Using Convolution

Algorithms, Blog Posts, e-con Systems, Sensors and Cameras, Software, Tools /

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Convolution is a mathematical operation used in image processing to apply filters to images. These filters are used for spatial noise reduction in images with variations or irregularities in the pixel values that are unrelated

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“Temporal Event Neural Networks: A More Efficient Alternative to the Transformer,” a Presentation from BrainChip

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Chris Jones, Director of Product Management at BrainChip, presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit. The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent… “Temporal Event Neural Networks: A

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How Edge Devices Can Help Mitigate the Global Environmental Cost of Generative AI

Algorithms, Blog Posts, Processors, Qualcomm, Software, Tools /

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Exploring the role of edge devices in reducing energy consumption and promoting sustainability in AI systems The economic value of generative artificial intelligence (AI) to the world is immense. Research from McKinsey estimates that generative AI could add the

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“Silicon Slip-ups: The Ten Most Common Errors Processor Suppliers Make (Number Four Will Amaze You!),” a Presentation from BDTI

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Phil Lapsley, Co-founder and Vice President of BDTI, presents the “Silicon Slip-ups: The Ten Most Common Errors Processor Suppliers Make (Number Four Will Amaze You!)” tutorial at the May 2024 Embedded Vision Summit. For over 30 years, BDTI has provided engineering, evaluation and advisory services to processor suppliers and companies… “Silicon Slip-ups: The Ten Most

“Silicon Slip-ups: The Ten Most Common Errors Processor Suppliers Make (Number Four Will Amaze You!),” a Presentation from BDTI Read More +

“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision,” a Presentation from Axelera AI

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Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit. As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability… “How Axelera AI Uses Digital

“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision,” a Presentation from Axelera AI Read More +

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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