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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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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

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Qualcomm CEO Cristiano Amon at Web Summit: GenAI is the New UI

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. How generative AI (GenAI)-powered “agents” will change the way you interact with the digital world The rise of artificial intelligence (AI) opens the door to a vast array of possibilities. AI-powered agents will be the key to

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An Easy Introduction to Multimodal Retrieval-augmented Generation for Video and Audio

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Building a multimodal retrieval augmented generation (RAG) system is challenging. The difficulty comes from capturing and indexing information from across multiple modalities, including text, images, tables, audio, video, and more. In our previous post, An Easy Introduction

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Virtual and Augmented Reality: The Rise and Drawbacks of AR

While being closed off from the real world is an experience achievable with virtual reality (VR) headsets, augmented reality (AR) offers images and data combined with real-time views to create an enriched and computing-enhanced experience. IDTechEx‘s portfolio of reports, including “Optics for Virtual, Augmented and Mixed Reality 2024-2034: Technologies, Players and Markets“, explore the latest

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Why Smaller, More Accurate GenAI Models Put Safety Front and Center

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. In the rapidly evolving world of generative artificial intelligence (GenAI), the focus has traditionally been on large, complex models that require significant computational resources. However, a new trend is emerging: the development and deployment of small, efficient

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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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