Processors

Qualcomm Launches On-prem AI Appliance Solution and Inference Suite to Step-up AI Inference Privacy, Flexibility and Cost Savings Across Enterprise and Industrial Verticals

Highlights: Qualcomm AI On-Prem Appliance Solution is designed for generative AI inference and computer vision workloads on dedicated on-premises hardware – allowing sensitive customer data, fine-tuned models, and inference loads to remain on premises. Qualcomm AI Inference Suite provides ready-to-use AI applications and agents, tools and libraries for operationalizing AI from computer vision to generative […]

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Axelera AI at CES: Honored to Showcase Innovation at the Edge

Axelera AI is thrilled to join the global innovation of CES 2025, where the spotlight will shine on our cutting-edge Metis product line and its ability to redefine AI inference at the edge. Our fully integrated hardware/software solutions deliver unparalleled performance, energy efficiency, and adaptability to a wide range of applications, all while protecting your

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Intel Extends Leadership in AI PCs and Edge Computing at CES 2025

Intel pushes the boundaries of AI performance and power efficiency for businesses and consumers, ushering in the next era of AI computing. News Highlights New Intel® Core™ Ultra 200V series mobile processors with Intel vPro® are empowering businesses with AI-driven productivity and enhanced IT management1. The combination of performance, efficiency and industry-leading business computing with

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Chiplet Technology: Unlocking New Potential in the Semiconductor Industry

In the rapidly evolving semiconductor industry, chiplet technology is emerging as a transformative force, offering innovative solutions to many of the challenges faced by traditional monolithic System-on-Chip (SoC) designs. As highlighted in the IDTechEx report, “Chiplet Technology 2025-2035: Technology, Opportunities, Applications,” this modular approach not only enhances performance and functionality but also opens up a

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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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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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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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