Brian Dipert

Renesas Sets New MCU Performance Bar with 1-GHz RA8P1 Devices with AI Acceleration

Arm, News, Processors, Renesas, Tools /

Single- and Dual-Core MCUs Combine Arm Cortex-M85 and M33 Cores with Arm Ethos-U55 NPU to Deliver Superior AI Performance up to 256 GOPs Unprecedented 7300+ CoreMarks[1] with Dual Arm CPU cores TSMC 22ULL Process Delivers High Performance and Low Power Consumption Embedded MRAM with Faster Write Speeds and Higher Endurance and Retention Dedicated Peripherals Optimized […]

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The Rise of Collaborative Robots: Technical and Commercial Insights

Market Analysis, Robotics /

Analysis of cobots market penetration by different tasks and industries. Collaborative robots (cobots) have transformed manufacturing, with their market projected to grow from US$1.2 billion in 2023 to US$29.8 billion by 2035, at a CAGR of 34.5% based on IDTechEx‘s analysis. Unlike traditional industrial robots, which operate in isolated, caged environments for safety, cobots work

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Embedded Quest 2025: MCU Vendors Step up Edge AI Play

Arm, Ceva, Market Analysis, MIPS, Processors, STMicroelectronics, Videos /

Edge AI was the primary focus of microcontroller vendors at the 2025 Embedded World Exhibition. We caught up with some industry executives for our annual Embedded Quest program, asking them about their take on Edge AI. As usual, the Embedded World Exhibition in Nuremberg, Germany, drew a large crowd of companies in the computing processor

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Introducing NVFP4 for Efficient and Accurate Low-precision Inference

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. To get the most out of AI, optimizations are critical. When developers think about optimizing AI models for inference, model compression techniques—such as quantization, distillation, and pruning—typically come to mind. The most common of the three, without

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“Computer Vision at Sea: Automated Fish Tracking for Sustainable Fishing,” a Presentation from Tryolabs and the Nature Conservancy

Algorithms, Object Identification, Object Tracking, Software, Summit 2025, Tools, Tryolabs, Videos /

Alicia Schandy Wood, Machine Learning Engineer at Tryolabs, and Vienna Saccomanno, Senior Scientist at The Nature Conservancy, co-present the “Computer Vision at Sea: Automated Fish Tracking for Sustainable Fishing” tutorial at the May 2025 Embedded Vision Summit. What occurs between the moment a commercial fishing vessel departs from shore and… “Computer Vision at Sea: Automated

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FRAMOS and Toradex Strengthen Partnership to Simplify Embedded Vision Development

FRAMOS, News, NXP Semiconductors, Sensors and Cameras /

Enhanced integration between Toradex’s System-on-modules (SoMs) and FRAMOS Camera Modules simplifies the prototyping and development of embedded vision systems based on NXP processors. Munich – June 30th 2025 – Embedded system engineers and architects, as well as technical team leads in robotics, IoT, medical, and industrial applications, can now benefit from a simplified approach to

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Simplifying Vision AI Development with Renesas AI Model Deployer Powered by NVIDIA TAO

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

This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. Edge AI is no longer a futuristic idea—it’s an essential technology driving today’s smart devices across industries, from industrial automation to consumer IoT applications. But building AI applications at the edge still comes with challenges: complexity with

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“Squinting Vision Pipelines: Detecting and Correcting Errors in Vision Models at Runtime,” a Presentation from Squint AI

Algorithms, Software, Squint AI, Summit 2025, Tools, Videos /

Ken Wenger, Chief Technology Officer at Squint AI, presents the “Squinting Vision Pipelines: Detecting and Correcting Errors in Vision Models at Runtime” tutorial at the May 2025 Embedded Vision Summit. As humans, when we look at a scene our first impressions are sometimes wrong; we need to take a second… “Squinting Vision Pipelines: Detecting and

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China Takes the Lead in Automotive LiDAR: A Market Set to Quadruple by 2030

Automotive, Market Analysis, Sensors and Cameras, Yole Group /

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Yole Group’s new report, Automotive LiDAR 2025, shows explosive growth in passenger cars, shifting OEM strategies, and China’s growing dominance across the value chain. KEY TAKE AWAYS: The global automotive LiDAR market

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The Outer Loop: The Real Driver of AI Success

Algorithms, Blog Posts, RapidFire AI, Software, Tools /

This blog post was originally published in expanded form at RapidFire AI’s website. It is reprinted here with the permission of RapidFire AI. When people talk about deep learning, they usually talk about the inner loop—the elegant dance of forward passes, backpropagation, and gradient descent. This is the part that’s been endlessly refined over 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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