Algorithms

Decoding How the Generative AI Revolution BeGAN

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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Network Optix Demonstration of Instantly Scalable AI Models Using the Nx AI Manager

Wim De Wispelaere, Nx Senior Business Development Manager at Network Optix, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, De Wispelaere demonstrates the Nx AI Manager, a plugin specifically designed to add AI functionality on the edge to video solutions built using the Nx Enterprise

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Network Optix Demonstration of Seamlessly Deploying AI Models at the Edge with Nx AI Manager

Wim De Wispelaere, Nx Senior Business Development Manager at Network Optix, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, De Wispelaere demonstrates Nx AI Manager, the newest addition to the Nx Toolkit, a plugin specifically designed to add AI functionality on the edge to video

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“Deploying Large Language Models on a Raspberry Pi,” a Presentation from Useful Sensors

Pete Warden, CEO of Useful Sensors, presents the “Deploying Large Language Models on a Raspberry Pi,” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Warden outlines the key steps required to implement a large language model (LLM) on a Raspberry Pi. He begins by outlining the motivations… “Deploying Large Language Models on

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Broad Industry Recognition for Our Centrally Processed 4D Imaging Radar Architecture and Corporate Culture

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Winning an award is always exciting, but winning eight is truly exhilarating! We’re honored that our groundbreaking architecture—which includes both Ambarella’s Oculii™ adaptive AI radar software and our CV3-AD family of highly efficient 5nm AI central domain

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“How to Run Audio and Vision AI Algorithms at Ultra-low Power,” a Presentation from Synaptics

Deepak Mital, Senior Director of Architectures at Synaptics, presents the “How to Run Audio and Vision AI Algorithms at Ultra-low Power” tutorial at the May 2024 Embedded Vision Summit. Running AI algorithms on battery-powered, low-cost devices requires a different approach to designing hardware and software. The power requirements are stringent… “How to Run Audio and

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AI-powered Productivity: Windows on Snapdragon X Elite Welcomes Game-changing Apps

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. A new generation of AI apps for Windows powered by the 45 TOPS NPU in Snapdragon X Elite Get ready to turbo-charge your productivity and creativity this summer, when Windows gets enhanced by artificial intelligence (AI). AI-powered

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“Build a Tiny Vision Application in Minutes with the Edge App SDK,” a Presentation from Midokura, a Sony Group Company

Dan Mihai Dumitriu, Chief Technology Officer at Midokura, a Sony Group company, presents the “Build a Tiny Vision Application in Minutes with the Edge App SDK” tutorial at the May 2024 Embedded Vision Summit. In the fast-paced world of embedded vision applications, moving rapidly from concept to deployment is crucial.… “Build a Tiny Vision Application

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Generate Traffic Insights Using YOLOv8 and NVIDIA JetPack 6.0

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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Can Ceva Ignite the Yet-to-explode TinyML Market?

The IoT market is yet to see an “explosive growth” in TinyML. Is that due to inadequate hardware, ever-shifting software or not enough ML skills in the embedded community? What’s at stake: TinyML in embedded systems can be implemented many ways, often by leveraging beefed-up MCUs, DSPs, AI accelerators and Neural Processing Units (NPUs). 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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