Processors

Axelera AI Demonstration of Computer Vision Applications Based on the Metis AIPU

Bram Verhoef, Co-founder of Axelera AI, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Verhoef gives a product line overview and demonstrates the types of computer vision applications that Axelera AI’s Metis AIPU accelerates. Axelera AI offers PCIe and M.2 add-in cards, along with full […]

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Axelera AI Demonstration of Fast and Efficient Workplace Safety with the Metis AIPU

Bram Verhoef, Co-founder of Axelera AI, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Verhoef demonstrates how his company’s Metis AIPU can accelerate computer vision applications. Axelera AI, together with its partner FogSphere, has developed a computer vision system that detects if people are wearing

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AI Developer Workflows, Simplified: Empowering Developers with the Qualcomm AI Hub

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. With over 100 pre-optimized AI and generative AI models, the Qualcomm AI Hub is a developer’s gateway to superior on-device AI performance Generative AI has been evolving to run on device, in addition to the cloud. It

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Himax Demonstration of On-device AI with Innovative End-point Computer Vision

Alex Chang, Senior Product Manager for AIOT CIS Sensors and Processors at Himax, demonstrates the company’s latest edge AI and vision technologies and products in Arm’s booth at the 2024 Embedded Vision Summit. Specifically, Chang demonstrates his company’s WiseEye2 HX6538 deploying advanced CV models to endpoints. The WiseEye2 HX6538 integrates the Arm Cortex-M55 and Ethos-U55

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Renesas Demonstration of the RZ/V2H MPU for High Performance, Low Power AI Vision Applications

Brian Witzen, Principal Business Development Manager at Renesas Electronics, demonstrates the company’s latest edge AI and vision technologies and products in Arm’s booth at the 2024 Embedded Vision Summit. Specifically, Witzen demonstrates his company’s new RZ/V2H AI MPU. The RZ/V2H features multiple Arm Cortex cores, such as a quad-core Cortex-A55, dual-core Cortex-R8 and single Cortex-M33,

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High-end Packaging: Breaking Performance Barriers?

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. The current AI/HPC demand has brought high-end performance packaging to the spotlight. OUTLINE The high-end packaging market is projected to exceed US$28 billion by 2029, with a CAGR 23-29 of 37%. TSMC

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AMD to Acquire Silo AI to Expand Enterprise AI Solutions Globally

Europe’s largest private AI lab to accelerate the development and deployment of AMD-powered AI models and software solutions Enhances open-source AI software capabilities for efficient training and inference on AMD compute platforms SANTA CLARA, Calif. — July 10, 2024 — AMD (NASDAQ: AMD) today announced the signing of a definitive agreement to acquire Silo AI,

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Arm Demonstration of the Ethos-U85 AI Accelerator

Stephen Su, Senior Segment Marketing Manager at Arm, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Su demonstrates the company’s latest Ethos-U85 AI accelerator, which scales from 128 to 2048 MAC units and delivers up to 4 TOPs performance at 1 GHz clock speeds. The

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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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