Algorithms & Models

Announcing NVIDIA Metropolis Microservices for Jetson for Rapid Edge AI Development

Building vision AI applications for the edge often comes with notoriously long and costly development cycles. At the same time, quickly developing edge AI applications that are cloud-native, flexible, and secure has never been more important. Now, a powerful yet simple API-driven edge AI development workflow is available with the new NVIDIA Metropolis microservices. NVIDIA […]

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Build Vision AI Applications at the Edge with NVIDIA Metropolis Microservices and APIs

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA Metropolis microservices provide powerful, customizable, cloud-native APIs and microservices to develop vision AI applications and solutions. The framework now includes NVIDIA Jetson, enabling developers to quickly build and productize performant and mature vision AI applications at

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Advancing Perception Across Modalities with State-of-the-art AI

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm AI Research papers at ICCV, Interspeech and more The last few months have been exciting for the Qualcomm AI Research team, with the opportunity to present our latest papers and artificial intelligence (AI) demos at conferences

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The Role of Precision Time Protocol Synchronization in Ethernet Cameras

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Ethernet cameras rely on precise timing and synchronization for accurate data transmission. The Precision Time Protocol (PTP) ensures sub-microsecond accuracy, synchronizing time clocks among IP-connected devices. Gain expert insights into how precise timing and synchronization

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How to Find the Best “Food” for Your AI Model

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. When you want to take the best possible care of your brain, certain things are recommended, such as fatty fish, vegetables, doing some brain exercises, and learning new things. But what about artificial neural networks? Of course,

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The US$1.6 Trillion Future of the Automotive Tech Opportunity

Autonomous driving, electric vehicles, connected and software-defined vehicles, and in-cabin monitoring are all megatrends reshaping the automotive industry. Together, these technologies combine to form a US$1.6 trillion opportunity by 2034, nearly a 10-fold increase compared to 2023. The new report from IDTechEx, “Future Automotive Technologies 2024-2034: Applications, Megatrends, Forecasts“, brings together a portfolio of IDTechEx’s

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Fast-track Computer Vision Deployments with NVIDIA DeepStream and Edge Impulse

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. AI-based computer vision (CV) applications are increasing, and are particularly important for extracting real-time insights from video feeds. This revolutionary technology empowers you to unlock valuable information that was once impossible to obtain without significant operator intervention,

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The Positive Social Impact of AI

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Harnessing AI for the greater good and to improve our world Artificial intelligence (AI) has the potential to improve productivity, boost creativity and enhance the human experience. Although AI may create a sense of uncertainty about the

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What are the Most Effective Methods to Achieve High Dynamic Range Imaging?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. The importance of High Dynamic Range (HDR) in new-age embedded vision applications has been steadily growing. They can capture fine details from scenes despite changing light conditions. Get expert insights to better understand the six

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A Handful of Thoughts On the Practical Use of Generative Adversarial Networks

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. A Generative Adversarial Network (GAN) is a concept that was developed in 2014 by a team of distinguished researchers led by Ian J. Goodfellow. In short, we train two deep neural networks in parallel so that the

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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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