Brian Dipert

Expedera’s Packet-based AI Processing Architecture: An Introduction

This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. Most NPUs available today are not actually optimized for AI processing. Rather, they are variations of former CPU, GPU, or DSP designs. Every neural network has varying processing and memory requirements and offers unique processing challenges that […]

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“Efficiency Unleashed: The Next-gen NXP i.MX 95 Applications Processor for Embedded Vision,” a Presentation from NXP Semiconductors

James Prior, Senior Product Manager at NXP Semiconductors, presents the “Efficiency Unleashed: The Next-gen NXP i.MX 95 Applications Processor for Embedded Vision” tutorial at the May 2024 Embedded Vision Summit. Machine vision is the most obvious way to help humans live better, enabling hundreds of applications spanning security, monitoring, inspection… “Efficiency Unleashed: The Next-gen NXP

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Computing and AI for Automotive: Toward Centralization and Connectivity

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Chiplets for ADAS & infotainment take off with centralization trends. OUTLINE The ADAS and infotainment processors market, worth US$7.8 billion in 2023, is expected to reach US$16.4 billion by 2029, with a

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Exploring the Components of LiDAR

Automotive autonomy has triggered enormous interest in various sensors in assisting data collection for both vehicle and road information. Among them, three-dimensional (3D) light detection and ranging (Lidar), a remote sensing method that uses laser light to measure distances and create precise 3D maps of the surroundings, provides high angular resolution and long detection range

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Modernizing Automotive Interfaces

This blog post was originally published at Avnet’s website. It is reprinted here with the permission of Avnet. The MCU is a low-power, flexible and highly integrated device. It has inspired many peripherals, from clocks to timers, as well as data conversion and power management. Most MCUs incorporate plenty of general-purpose interfaces (GPIO), along with

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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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Edge AI and Vision Insights: June 19, 2024

EDGE AI DEVELOPMENT TRENDS AND CHALLENGES Silicon Slip-Ups: The Ten Most Common Errors Processor Suppliers Make (Number Four Will Amaze You!) For over 30 years, BDTI has provided engineering, evaluation and advisory services to processor suppliers and companies that use processors in products. The company has seen a lot, including some classic mistakes. (You know,

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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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