TECHNOLOGIES

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

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 […]

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Privacy-first AI: Exploring Federated Learning

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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Synaptics and Google Collaborate on Edge AI for the IoT

The collaboration will integrate Google’s ML core with AstraTM AI-Native hardware and open-source software to accelerate the development of context-aware devices. San Jose, CA, January 2, 2025 – Synaptics® Incorporated (Nasdaq: SYNA) today announced that it is collaborating with Google on Edge AI for the IoT to define the optimal implementation of multimodal processing for context-aware

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Nextchip Demonstration of an ISP-based Thermal Imaging Camera

Barry Fitzgerald, local representative for Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the December 2024 Edge AI and Vision Alliance Forum. Specifically, Fitzgerald demonstrates a thermal imaging camera design based on the company’s ISP. The approach shown enhances night-time detection of pedestrians and animals beyond current visual capabilities, which

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Why Generative AI is the Catalyst That Mixed Reality Needs

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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Who Decides Edge AI Winners in Embedded?

In data centers, ML researchers’ vote for Nvidia is what made Nvidia a runaway success in AI training. On the embedded market, who holds the key for edge AI? What’s at stake: Edge AI – or AIOT (Artificial Intelligence of Things) – on the embedded market has been a hot notion among MCU vendors for

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What is Interpolation? Understanding Image Perception in Embedded Vision Camera Systems

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Interpolation is a mathematical technique used to estimate unknown values that lie between known data points. Interpolation helps transform raw sensor data into stunning, full-color images in embedded vision systems. Read the blog to learn

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From Generative to Agentic AI, Wrapping the Year’s AI Advancements

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. 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 and accelerations for GeForce RTX PC and NVIDIA RTX workstation users.

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NVIDIA TAO Toolkit: How to Build a Data-centric Pipeline to Improve Model Performance  (Part 1 of 3)

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In this series, we’ll build a data-centric pipeline using Tenyks 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 tailored for a

NVIDIA TAO Toolkit: How to Build a Data-centric Pipeline to Improve Model Performance  (Part 1 of 3) Read More +

Automotive Radar Market 2025-2045: Robotaxis and Autonomous Cars

For more information, visit https://www.idtechex.com/en/research-report/automotive-radar-market-2025-2045-robotaxis-and-autonomous-cars/1061. The automotive radar market is forecast to hit 500 million annual sales in 2041 IDTechEx’s report, Automotive Radar Market 2025-2045: Robotaxis & Autonomous Cars, predicts the automotive radar market will hit 500 million annual sales in 2041. The market share today is dominated by the big tier-one companies like Continental,

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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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