Software

“A Cutting-edge Memory Optimization Method for Embedded AI Accelerators,” a Presentation from 7 Sensing Software

Arnaud Collard, Technical Leader for Embedded AI at 7 Sensing Software, presents the “Cutting-edge Memory Optimization Method for Embedded AI Accelerators” tutorial at the May 2024 Embedded Vision Summit. AI hardware accelerators are playing a growing role in enabling AI in embedded systems such as smart devices. In most cases… “A Cutting-edge Memory Optimization Method […]

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Decoding How NVIDIA AI Workbench Powers App Development

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Free tool lets developers experiment with, test and prototype AI applications. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible and showcases new hardware, software, tools

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

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

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

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

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

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

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

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

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

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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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