Processors

Microchip Technology Expands Processing Portfolio to Include Multi-core 64-bit Microprocessors

PIC64GX MPU is the first of several product lines planned for Microchip’s PIC64 portfolio CHANDLER, Ariz., July 9, 2024—Real-time, compute intensive applications such as smart embedded vision and Machine Learning (ML) are pushing the boundaries of embedded processing requirements, demanding more power-efficiency, hardware-level security and high reliability at the edge. With the launch of its […]

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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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AI Startups Continue Breaking Records with $33 Billion Raised in H1, the Highest Figure in the Market’s History

Contrary to some predictions of a slowdown in AI funding for 2024, the reality is quite the opposite. AI startups are not just breaking records; they are doing so at an accelerated pace, with more money raised than ever before. According to data presented by Stocklytics.com, AI startups have achieved an unprecedented feat, raising a

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Upcoming Webinar Explores the Role of GMSL2 Cameras in Autonomous Systems

On Thursday, July 11, 2024 at 10:00 am PT (1:00 pm ET), Alliance Member companies e-con Systems and Analog Devices will co-deliver the free webinar “The Role of GMSL2 Cameras in Autonomous Systems – How It Enables Functional Safety.” From the event page: Get expert insights on GMSL2 technology, its functional safety benefits, applications in

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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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“Meeting the Critical Needs of Accuracy, Performance and Adaptability in Embedded Neural Networks,” a Presentation from Quadric

Aman Sikka, Chief Architect at Quadric, presents the “Meeting the Critical Needs of Accuracy, Performance and Adaptability in Embedded Neural Networks” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Sikka explores the challenges of accuracy and performance when implementing quantized machine learning inference algorithms on embedded systems.… “Meeting the Critical Needs of

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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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