Brian Dipert

NVIDIA TensorRT Model Optimizer v0.15 Boosts Inference Performance and Expands Model Support

Algorithms, Blog Posts, NVIDIA, Processors, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA has announced the latest v0.15 release of NVIDIA TensorRT Model Optimizer, a state-of-the-art quantization toolkit of model optimization techniques including quantization, sparsity, and pruning. These techniques reduce model complexity and enable downstream inference frameworks like NVIDIA […]

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“DNN Quantization: Theory to Practice,” a Presentation from AMD

Algorithms, AMD, Processors, Software, Summit 2024, Tools, Videos /

Dwith Chenna, Member of the Technical Staff and Product Engineer for AI Inference at AMD, presents the “DNN Quantization: Theory to Practice” tutorial at the May 2024 Embedded Vision Summit. Deep neural networks, widely used in computer vision tasks, require substantial computation and memory resources, making it challenging to run… “DNN Quantization: Theory to Practice,”

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“Leveraging Neural Architecture Search for Efficient Computer Vision on the Edge,” a Presentation from NXP Semiconductors

Algorithms, NXP Semiconductors, Processors, Software, Summit 2024, Tools, Videos /

Hiram Rayo Torres Rodriguez, Senior AI Research Engineer at NXP Semiconductors, presents the “Leveraging Neural Architecture Search for Efficient Computer Vision on the Edge” tutorial at the May 2024 Embedded Vision Summit. In most AI research today, deep neural networks (DNNs) are designed solely to improve prediction accuracy, often ignoring… “Leveraging Neural Architecture Search for

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Challenges and Opportunities in the 2024 Autonomous Bus Industry

Automotive, Market Analysis /

Autonomous buses represent one of the most challenging platforms in the autonomous driving industry. In recent years, commercial interest has shifted towards roboshuttles and robotaxis, partly due to the complex operational design domains (ODD) of autonomous buses. The typical ODD for a bus requires interactions with a broad range of road users, including more pedestrians,

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“Introduction to Visual Simultaneous Localization and Mapping (VSLAM),” a Presentation from Cadence

Algorithms, Cadence, Object Identification, Object Tracking, Processors, Sensors and Cameras, Software, Summit 2024, Tools, Videos /

Amol Borkar, Product Marketing Director, and Shrinivas Gadkari, Design Engineering Director, both of Cadence, co-present the “Introduction to Visual Simultaneous Localization and Mapping (VSLAM)” tutorial at the May 2024 Embedded Vision Summit. Simultaneous localization and mapping (SLAM) is widely used in industry and has numerous applications where camera or ego-motion… “Introduction to Visual Simultaneous Localization

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Scalable Public Safety with On-device AI: How Startup FocusAI is Filling Enterprise Security Market Gaps

Algorithms, Blog Posts, Object Identification, Object Tracking, Processors, Qualcomm, Security, Sensors and Cameras, Software, Tools /

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm Enterprise security is not just big business, it’s about keeping you safe: Here’s how engineer-turned-CTO Sudhakaran Ram collaborated with us to do just that. Key Takeaways: On-device AI enables superior enterprise-grade security. Distributed computing cost-efficiently enables actionable

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Untether AI Demonstration of Video Analysis Using the runAI Family of Inference Accelerators

Object Identification, Object Tracking, Processors, Security, Summit 2024, Videos /

Max Sbabo, Senior Application Engineer at Untether AI, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Sbabo demonstrates his company’s its AI inference technology with AI accelerator cards that leverage the capabilities of the runAI family of ICs in a PCI-Express form factor. This demonstration

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The Role of AI-driven Embedded Vision Cameras in Self-checkout Loss Prevention

Blog Posts, e-con Systems, Object Identification, Object Tracking, Retail, Sensors and Cameras /

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Self-checkout usage is rapidly growing and redefining retail experiences. This shift has led to retail losses that can only be overcome by AI-based embedded vision. Explore the types of retail shrinkage, how AI helps, and

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EyePop.ai Demonstration of Effortless AI Integration

Algorithms, Edge AI and Vision Alliance, Software, Summit 2024, Tools, Videos /

Andy Ballester, Co-Founder of EyePop.ai, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Ballester demonstrates the ease and accessibility of his company’s AI platform. Tailored for startups without machine learning teams, this demo showcases how to create a custom computer vision endpoint that can be

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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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