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Comparing Synthetic Data Platforms: Synetic AI and NVIDIA Omniverse

Algorithms, Blog Posts, Software, Synetic AI, Tools /

This blog post was originally published at Synetic AI’s website. It is reprinted here with the permission of Synetic AI. This blog post compares Synetic AI and NVIDIA Omniverse for synthetic data generation, focusing on deployment-ready computer vision models. Whether you’re exploring simulation tools or evaluating dataset creation platforms, this guide outlines key differences and […]

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Optimizing Your AI Model for the Edge

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. Key takeaways: We talk about five techniques—compiling to machine code, quantization, weight pruning, domain-specific fine-tuning, and training small models with larger models—that can be used to improve on-device AI model performance. Whether you think edge AI is

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Why HDR and LED Flicker Mitigation Are Game-changers for Forward-facing Cameras in ADAS

Automotive, Blog Posts, e-con Systems, Object Identification, Object Tracking, 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. In ADAS, forward-facing cameras capture traffic signs, signals, and pedestrians at farther distances using a narrow field of view (FOV). This narrower angle enables the camera to focus on distant objects with greater accuracy, making

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Best-in-class Multimodal RAG: How the Llama 3.2 NeMo Retriever Embedding Model Boosts Pipeline Accuracy

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

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Data goes far beyond text—it is inherently multimodal, encompassing images, video, audio, and more, often in complex and unstructured formats. While the common method is to convert PDFs, scanned images, slides, and other documents into text, it

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Achieving High-speed Automatic Emergency Braking with AI-driven 4D Imaging Radar

Ambarella, Automotive, Blog Posts, Object Identification, Object Tracking, Processors, Sensors and Cameras /

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Across the globe, regulators are accelerating efforts to make roads safer through the widespread adoption of Automatic Emergency Braking (AEB). In the United States, the National Highway Traffic Safety Administration (NHTSA) implemented a sweeping regulation that requires

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Qualcomm Trends and Technologies to Watch In IoT and Edge 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. “It’s amazing how Qualcomm was able to turn the ship on a dime since the last [Embedded World] show. The launch of Qualcomm Dragonwing and the Partner Day event were on point and helpful, showing Qualcomm’s commitment

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How Does a Forward-facing Camera Work, and What Are Its Use Cases in ADAS?

Automotive, Blog Posts, e-con Systems, Object Identification, Object Tracking, 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. Forward-facing cameras are the proverbial eyes of Advanced Driver Assistance Systems (ADAS). They collect real-time visual data from the vehicle’s surroundings and monitor the road, contributing to the system’s overall situational awareness. They capture key

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Introducing NVFP4 for Efficient and Accurate Low-precision Inference

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

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. To get the most out of AI, optimizations are critical. When developers think about optimizing AI models for inference, model compression techniques—such as quantization, distillation, and pruning—typically come to mind. The most common of the three, without

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Simplifying Vision AI Development with Renesas AI Model Deployer Powered by NVIDIA TAO

Algorithms, Blog Posts, NVIDIA, Processors, Renesas, Software, Tools /

This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. Edge AI is no longer a futuristic idea—it’s an essential technology driving today’s smart devices across industries, from industrial automation to consumer IoT applications. But building AI applications at the edge still comes with challenges: complexity with

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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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