Blog Posts

Accelerate Autonomous Vehicle Development with the NVIDIA DRIVE AGX Thor Developer Kit

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Autonomous vehicle (AV) technology is rapidly evolving, fueled by ever-larger and more complex AI models deployed at the edge. Modern vehicles now require not only advanced perception and sensor fusion, but also end-to-end deep learning pipelines that […]

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Building a Versatile Vision Data Simulation Platform: Key Components and Architecture

This blog post was originally published at Geisel Software’s Symage website. It is reprinted here with the permission of Geisel Software. Are Real-World Data Limitations Holding Back Your AI Models? KEY TAKEAWAYS: Versatile Data Simulation Powers Industry Relevance A truly effective vision data simulation platform leverages modular architecture and configurable domain parameters to adapt seamlessly

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GenAI Firsts: Redefining What’s Possible At the Edge

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. How our pioneering research and leading proof-of-concepts are paving the way for generative AI to scale What you should know: Qualcomm AI Research is pioneering research and inventing novel techniques to deliver efficient, high-performance GenAI solutions. Our

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How to Support Multi-planar Format in Python V4L2 Applications on i.MX8M Plus

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. The default Python V4L2 library module contains critical details related to the V4L2 capture method. Learn how to implement basic definitions (missing the default library module) and capture images in the V4L2 multi-planar format. Python

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Into the Omniverse: World Foundation Models Advance Autonomous Vehicle Simulation and Safety

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. AI and OpenUSD accelerate safe, scalable autonomous vehicle development by enabling simulation-first approaches. Editor’s note: This blog is a part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their

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LLiMa: Real-time Edge Generative AI Under 10W, Built for You

This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. LLiMa represents a paradigm shift in physical AI deployment that fundamentally changes how enterprises approach GenAI integration, enabling real Physical AI. While competitors typically offer pre-optimized models that were manually tuned for specific hardware configurations, LLiMa takes

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How Synthetic Datasets are Revolutionizing AI Training Across Industries

This blog post was originally published at Geisel Software’s Symage website. It is reprinted here with the permission of Geisel Software. Synthetic data is becoming increasingly integral to AI and analytics, with many projects now incorporating these datasets. While synthetic data generated using generative AI techniques offers valuable insights, simulation-based synthetic datasets enhance this process

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Capgemini Leverages Qualcomm Dragonwing Portfolio to Enhance Railway Monitoring with Edge AI

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. AI device powered by Qualcomm Dragonwing boosts productivity and reduces cloud dependence in Capgemini’s monitoring application for grade crossings Capgemini moved from their previous hardware solution to an edge AI device powered by the Qualcomm® Dragonwing™ QCS6490

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Why 4K HDR Imaging is Required in Front View Cameras?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Mobility systems require front-view cameras that depend on visual intelligence. Hence, the camera’s input is the starting point for every decision. Learn why 4K HDR imaging is critical in front-view cameras and explore five major

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Hot Topics at Hot Chips: Inference, Networking, AI Innovation at Every Scale — All Built on NVIDIA

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. At the conference in Palo Alto, California, NVIDIA experts detail how NVIDIA NVLink and Spectrum-X Ethernet technologies, Blackwell and CUDA accelerate inference for millions of AI workflows across the globe. AI reasoning, inference and networking will be

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