Brian Dipert

Exploring the Impact of Generative AI: Identifying the Winners

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Datacenter GPU and AI ASIC revenue could reach $156 billion by 2025 and $233 billion by 2029. OUTLINE The massive growth that the data center GPU and AI ASIC market experienced in […]

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AI Chips and Chat GPT: Exploring AI and Robotics

AI chips can empower the intelligence of robotics, with future potential for smarter and more independent cars and robots. Alongside the uses of Chat GPT and chatting with robots at home, the potential for this technology to enhance working environments and reinvent socializing is promising. Cars that can judge the difference between people and signposts

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Quantization of Convolutional Neural Networks: Quantization Analysis

See “Quantization of Convolutional Neural Networks: Model Quantization” for the previous article in this series. In the previous articles in this series, we discussed quantization schemes and the effect of different choices on model accuracy. The ultimate choice of quantization scheme depends on the available tools. TFlite and Pytorch are the most popular tools used

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The Rising Threat of Deepfakes: A Ticking Time Bomb for Society

In an era where reality seems increasingly malleable, the emergence of deepfake technology has catapulted us into uncharted territory. Deepfakes, synthetic digital media generated by artificial intelligence to manipulate images, audio, or video, pose a profound threat to the fabric of truth and trust in our society. The allure of deepfake technology lies in its

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Efficiently Packing Neural Network AI Model for the Edge

This blog post was originally published at Ceva’s website. It is reprinted here with the permission of Ceva. Packing applications into constrained on-chip memory is a familiar problem in embedded design, and is now equally important in compacting neural network AI models into a constrained storage. In some ways this problem is even more challenging

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AI Decoded From GTC: The Latest Developer Tools and Apps Accelerating AI on PC and Workstation

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Next Chat with RTX features showcased, TensorRT-LLM ecosystem grows, AI Workbench general availability, and NVIDIA NIM microservices launched. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more

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The Rise of Generative AI: A Timeline of Breakthrough Innovations

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Explore the most pivotal advancements that shaped the landscape of generative AI From Alan Turing’s pioneering work to the cutting-edge transformers of the present, the field of generative artificial intelligence (AI) has witnessed remarkable breakthroughs — and

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Micron’s Full Suite of Automotive-grade Solutions Qualified for Qualcomm Automotive Platforms to Power AI in Vehicles

Micron’s automotive memory and storage enable central compute, digital cockpit and advanced driver-assistance systems for Qualcomm customers NUREMBERG, Germany, April 10, 2024 (GLOBE NEWSWIRE) — Embedded World — Micron Technology, Inc. (Nasdaq: MU), today announced that it has qualified a full suite of its automotive-grade memory and storage solutions for Qualcomm Technologies Inc.’s Snapdragon® Digital Chassis™,

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From Challenger to Leader: China Consolidates Its Presence in Thermal Imaging

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. China shifts its focus to thermal imaging technologies, securing 50% of worldwide shipments in 2023. OUTLINE The thermal camera market is expected to grow to US$9.1 billion in 2029, with an estimated

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Advantech Establishes Collaboration with Qualcomm to Shape the Future of the Edge

Taipei, Taiwan and Nuremberg, Germany, 10th April 2024 — Today, at Embedded World, Advantech proudly announced its strategic collaboration with Qualcomm Technologies, Inc. to revolutionize the edge computing landscape. This effort, combining AI expertise, high-performance computing, and industry-leading connectivity, is set to propel innovation for industrial computing. This collaboration establishes an open and diverse edge

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