Jacob Beningo
Writer and Contributor at Freelance
#Embedded #Software #Consultant, #Technical #Blogger and #Marketing. I have a passion for the #IoT, #Firmware, #embedsys and education
Articles
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1 week ago |
designnews.com | Jacob Beningo
Artificial intelligence is no longer confined to massive data centers or sci-fi dreams. It’s showing up in the tools, workflows, and devices embedded developers work with daily. From voice recognition at the edge to AI-generated test suites, we’re watching the line blur between embedded systems and intelligent systems. Whether you're working on a low-power sensor node or a complex real-time controller, AI is poised to become a powerful partner in your development process.
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3 weeks ago |
designnews.com | Jacob Beningo
Have you ever worked on a project that was delivered late and over budget? I bet you have! Nearly two out three firmware projects are delivered late! Not the greatest track record for firmware folks, but it’s a statistic that pervades all software development.
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1 month ago |
designnews.com | Jacob Beningo
With Zephyr, developers only build what they need, including or excluding modules like drivers, file systems, protocol stacks, and subsystems. Peter Hansen/iStock / Getty Images Plus via Getty ImagesZephyr RTOS is going to take over the world. It might have already done so; you don’t realize it yet. That’s just the thing about overnight success. It’s never overnight. It’s a slow burn that produces magnificent results after a decade of hard work.
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1 month ago |
edntaiwan.com | Susan Hong |Jacob Beningo
作者 : Jacob Beningo 本文將深入說明如何利用svd2rust工具，從MCU原廠提供的SVD檔案生成自己的PAC...
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1 month ago |
embedded.com | Jacob Beningo
If you ask most developers if they should use AI to develop embedded systems, you’ll most likely get a resounding “NO!” You’ll hear comments like:AI-generated solutions often lack the nuanced understanding of hardware constraints required for robust embedded systems. You can’t use AI for embedded because it makes too many mistakes. AI can’t be used because we need to protect our data and don’t want it used to train AI models.
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The most successful development cycles I've seen have this one thing in common: Maintained discipline across developers, the team, and management. Clear expectations provide clarity that empowers everyone to confidently fulfill their role. https://t.co/HCPRMHyBjL
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