NVIDIA

Build VLM-powered Visual AI Agents Using NVIDIA NIM and NVIDIA VIA Microservices

Algorithms, Blog Posts, Multimodal, NVIDIA, Object Identification, Object Tracking, Processors, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Traditional video analytics applications and their development workflow are typically built on fixed-function, limited models that are designed to detect and identify only a select set of predefined objects. With generative AI, NVIDIA NIM microservices, and foundation […]

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Enhance Multi-camera Tracking Accuracy by Fine-tuning AI Models with Synthetic Data

Algorithms, Articles, NVIDIA, Object Identification, Object Tracking, Processors, Software, Tools /

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Large-scale, use–case-specific synthetic data has become increasingly important in real-world computer vision and AI workflows. That’s because digital twins are a powerful way to create physics-based virtual replicas of factories, retail spaces, and other assets, enabling precise simulations

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Lattice Semiconductor Demonstration of a Low-latency Edge AI Sensor Bridge for NVIDIA’s Holoscan

Lattice Semiconductor, NVIDIA, Processors, Sensors and Cameras, Summit 2024, Tools, Videos /

Kambiz Khalilian, Director of Strategic Initiatives and Ecosystem Alliances for Lattice Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Khalilian demonstrates a low-latency edge AI sensor bridge solution for NVIDIA’s Holoscan. The Lattice FPGA-based Holoscan Sensor Bridge enables high-throughput and low-latency sensor aggregation and

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Develop Generative AI-powered Visual AI Agents for the Edge

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. An exciting breakthrough in AI technology—Vision Language Models (VLMs)—offers a more dynamic and flexible method for video analysis. VLMs enable users to interact with image and video input using natural language, making the technology more accessible and

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e-con Systems Demonstration of Its Advanced Camera Solutions

e-con Systems, Lattice Semiconductor, NVIDIA, Processors, Sensors and Cameras, Summit 2024, Tools, Videos /

Gomathi Sankar Paramasivan, Head of the Industrial Camera Business Unit at e-con Systems, demonstrates the company’s latest edge AI and vision technologies and products in Lattice Semiconductor’s booth at the 2024 Embedded Vision Summit. Specifically, Paramasivan demonstrates his company’s CAM85_CUOAGX and See3CAM50_CUG advanced camera solutions based on Lattice Semiconductor FPGAS. The showcased cameras are powered

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Mission NIMpossible: Decoding the Microservices That Accelerate Generative AI

Algorithms, Blog Posts, Multimodal, NVIDIA, Processors, Software, Summit 2024, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Run generative AI NVIDIA NIM microservices locally on NVIDIA RTX AI workstations and NVIDIA GeForce RTX systems. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible

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Decoding How the Generative AI Revolution BeGAN

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. NVIDIA Research’s GauGAN demo set the scene for a new wave of generative AI apps supercharging creative workflows. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more

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Generate Traffic Insights Using YOLOv8 and NVIDIA JetPack 6.0

Algorithms, Articles, Automotive, NVIDIA, Processors, Software, Tools /

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Intelligent Transportation Systems (ITS) applications are becoming increasingly valuable and prevalent in modern urban environments. The benefits of using ITS applications include: Increasing traffic efficiency: By analyzing real-time traffic data, ITS can optimize traffic flow, reducing congestion and

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Decoding How NVIDIA AI Workbench Powers App Development

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. Free tool lets developers experiment with, test and prototype AI applications. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible and showcases new hardware, software, tools

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TOPS of the Class: Decoding AI Performance on RTX AI PCs and Workstations

Blog Posts, NVIDIA, Processors /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. What is a token? Why is batch size important? And how do they help determine how fast AI computes? Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology

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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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