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Collaborating With Robots: How AI Is Enabling the Next Generation of Cobots

Ambarella, Blog Posts, Multimodal, Processors, Robotics /

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Collaborative robots, or cobots, are reshaping how we interact with machines. Designed to operate safely in shared environments, AI-enabled cobots are now embedded across manufacturing, logistics, healthcare, and even the home. But their role goes beyond automation—they […]

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“Simplifying Portable Computer Vision with OpenVX 2.0,” a Presentation from AMD

Algorithms & Models, AMD, Processors, Software, Summit 2025, Tools, Videos /

Kiriti Nagesh Gowda, Staff Engineer at AMD, presents the “Simplifying Portable Computer Vision with OpenVX 2.0” tutorial at the May 2025 Embedded Vision Summit. The Khronos OpenVX API offers a set of optimized primitives for low-level image processing, computer vision and neural network operators. It provides a simple method for… “Simplifying Portable Computer Vision with

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The $2.4 Trillion Crisis: Why Hardware/Software Integration Is Your Most Critical Technical Decision

Blog Posts, Geisel Software /

This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Hardware-software integration isn’t incidental; it can make or break your project. When hardware and software don’t evolve together, even small disconnects can derail timelines, budgets, and trust. Late-stage fixes cost exponentially more. A bug caught

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“Quantization Techniques for Efficient Deployment of Large Language Models: A Comprehensive Review,” a Presentation from AMD

Algorithms & Models, AMD, Processors, Software, Summit 2025, Tools, Videos /

Dwith Chenna, MTS Product Engineer for AI Inference at AMD, presents the “Quantization Techniques for Efficient Deployment of Large Language Models: A Comprehensive Review” tutorial at the May 2025 Embedded Vision Summit. The deployment of large language models (LLMs) in resource-constrained environments is challenging due to the significant computational and… “Quantization Techniques for Efficient Deployment

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Learn to Optimize Stable Diffusion on Qualcomm Cloud AI 100

Algorithms & Models, 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. Dive in to learn how we achieve a 1.4x latency decrease on Qualcomm Cloud AI 100 Ultra accelerators by applying an innovative DeepCache technique to text-to-image generation. What’s more, the throughput can be further improved by 3x

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Texas Instruments Demonstration of Edge AI Inference and Video Streaming Over Wi-Fi

Algorithms & Models, Object Identification, Object Tracking, Processors, Software, Texas Instruments, Tools, Videos /

The demonstration shows how to use Texas Instruments’ AM6xA to capture live video, perform machine learning, and stream video over Wi-Fi. The video is encoded with H.264/H.265, and streamed via UDP over Wi-Fi using the CC33xx. At the receiver side, the video is decoded and displayed on a screen.  The receiver side could be a

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“Introduction to Data Types for AI: Trade-offs and Trends,” a Presentation from Synopsys

Algorithms & Models, Sensors and Cameras, Software, Summit 2025, Synopsys, Tools, Videos /

Joep Boonstra, Synopsys Scientist at Synopsys, presents the “Introduction to Data Types for AI: Trade-offs and Trends” tutorial at the May 2025 Embedded Vision Summit. The increasing complexity of AI models has led to a growing need for efficient data storage and processing. One critical way to gain efficiency is… “Introduction to Data Types for

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Edge AI and Vision Insights: August 6, 2025

Edge AI and Vision Alliance, Newsletters /

NEW PROCESSORS ENABLE ULTRA-EFFICIENT EDGE INFERENCE Key Requirements to Successfully Implement Generative AI in Edge Devices: Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP In this 2025 Embedded Vision Summit talk, Gordon Cooper, Principal Product Manager at Synopsys, discusses emerging trends in generative AI for edge devices and the key role of transformer-based

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The Role of Embedded Cameras in Ensuring Perimeter Security

Blog Posts, e-con Systems, Object Identification, Object Tracking, Security, Sensors and Cameras /

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Any breach along the perimeter, from industrial plants to data centers, results in major threats. That’s why embedded vision is so important. Discover how cameras work in these systems, their must-have features, as well as

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Machine Vision Defect Detection: Edge AI Processing with Texas Instruments AM6xA Arm-based Processors

Algorithms & Models, Industrial Vision (Computer Vision), Object Identification, Object Tracking, Processors, Software, Texas Instruments, Tools, Videos /

Texas Instruments’ portfolio of AM6xA Arm-based processors are designed to advance intelligence at the edge using high resolution camera support, an integrated image sensor processor and deep learning accelerator. This video demonstrates using AM62A to run a vision-based artificial intelligence model for defect detection for manufacturing applications. Watch the model test the produced units as

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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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