Blog Posts

Single- vs. Multi-camera Systems: The Ultimate Guide

Automotive, Blog Posts, e-con Systems, Industrial Vision (Computer Vision), Retail, Robotics, 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. Single and multiple camera setups play a vital role in today’s vision systems, enhancing applications such as Automated sports broadcasting, Industrial robots, Traffic monitoring and more. Explore the key differences, advantages, and real-world applications of […]

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Accelerate Custom Video Foundation Model Pipelines with New NVIDIA NeMo Framework Capabilities

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

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Generative AI has evolved from text-based models to multimodal models, with a recent expansion into video, opening up new potential uses across various industries. Video models can create new experiences for users or simulate scenarios for training

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NVIDIA TAO Toolkit: How to Build a Data-centric Pipeline to Improve Model Performance  (Part 3 of 3)

Algorithms, Blog Posts, Object Identification, Object Tracking, Software, Tenyks, Tools /

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. During this series, we will use Tenyks to build a data-centric pipeline to debug and fix a model trained with the NVIDIA TAO Toolkit. ‍Part 1. We demystify the NVIDIA ecosystem and define a data-centric pipeline based

NVIDIA TAO Toolkit: How to Build a Data-centric Pipeline to Improve Model Performance  (Part 3 of 3) Read More +

Computer Vision and AI at the Edge with a Thermal Camera Provider and a Toy Manufacturer

Aerospace and Defense, Algorithms, Blog Posts, Digica, Industrial Vision (Computer Vision), Object Identification, Object Tracking, Software, Tools /

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. As the pace of artificial intelligence innovation accelerates, we’re seeing AI and computer vision go from science fiction tropes to enabling highly efficient and compelling applications. This integration is particularly potent at the edge, where devices locally

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How AI On the Edge Fuels the 7 Biggest Consumer Tech Trends of 2025

Algorithms, Blog Posts, Multimodal, Processors, Qualcomm, Software, Tools /

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. From more on-device AI features on your phone to the future of cars, 2025 is shaping up to be a big year Over the last two years, generative AI (GenAI) has shaken up, well, everything. Heading into

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Customize e-con Systems’ FPGA IP Cores to Meet Unique Vision Needs

Algorithms, Blog Posts, e-con Systems, Lattice Semiconductor, Processors, Sensors and Cameras, Software, Tools /

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Developing cutting-edge vision systems requires more than just advanced hardware—it demands the ability to customize and optimize image processing to meet specific application needs. That’s why e-con Systems offers a suite of high-performance Image Signal

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Optimizing Multimodal AI Inference

Algorithms, Blog Posts, Intel, Multimodal, Processors, Software, Tools /

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Multimodal models are becoming essential for AI, enabling the integration of diverse data types into a single model for richer insights. During the second Intel® Liftoff Days 2024 hackathon, Rahul Nair’s workshop on Inference of Multimodal Models

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NVIDIA TAO Toolkit: How to Build a Data-centric Pipeline to Improve Model Performance  (Part 2 of 3)

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

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. During this series, we will use Tenyks to build a data-centric pipeline to debug and fix a model trained with the NVIDIA TAO Toolkit. Part 1. We demystify the NVIDIA ecosystem and define a data-centric pipeline based

NVIDIA TAO Toolkit: How to Build a Data-centric Pipeline to Improve Model Performance  (Part 2 of 3) Read More +

Privacy-first AI: Exploring Federated Learning

Algorithms, Blog Posts, Digica, Privacy, Software, Tools /

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Over the last year we could witness an unprecedented surge in the research and deployment of new leading-edge machine learning models. Although these have already proven themselves to offer useful applications, the gains usually come at the

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Why Generative AI is the Catalyst That Mixed Reality Needs

Algorithms, Augmented Reality, Blog Posts, Multimodal, Processors, Qualcomm, Software, Tools /

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. From content creation to digital avatars, generative AI is the critical ingredient for building immersive worlds in mixed reality The promise of mixed reality fundamentally changing the way we interact and live our lives has always been

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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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