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Daily Synthesis

Aerospace Gets a Turbo Boost with AI ✈️

CAD is Stuck in the Past 🚫📐

For decades, engineers have relied on CAD to design machines. But here’s the truth: CAD is holding engineering back.

Dragging a mouse cursor, pushing buttons—this is a low-bandwidth way to tell a computer what to do. Worse, CAD locks us into a visual paradigm that hasn’t evolved in thousands of years. The real magic of engineering isn’t in the lines you draw—it’s in the logic you follow to build a machine.

At LEAP 71, they’re rewriting the rules. Instead of wasting time on repetitive CAD tasks, they’re building the Noyron Large Computational Engineering Model—a system that encodes the entire design process:
⚙️ From engineering logic to physics to manufacturing constraints.
🚀 Iterating a million times a second to explore solutions you’d never have the patience to draw manually.
🧠 Leveraging computational engineering to unleash results beyond human limits.

Their approach doesn’t just save time—it transforms the way machines are designed. Why rely on visuals when you can encode everything into a science-driven, algorithmic system, hit RUN, and let the computer do what it’s good at?

Curious to step into the computational future? LEAP 71’s team is sharing the foundation of their work here: PicoGK.org — a gateway to understanding the basics of Computational Engineering and their open-source tools.

The age of NoCAD is here. Thanks to companies like LEAP 71, it’s only getting faster. The question is: Are you ready to hit RUN?

Lin Kayser, LEAP 71’s Co-founder, breaks it down here.

No-Code AI for Nuclear Engineers? Meet digiLab 🛠️🤖

digiLab is unlocking AI for nuclear engineers and scientists—no coding required. Their proprietary tool, twinLab, brings advanced machine learning to the table with a no-code workflow interface.

💡 Why does it matter?
Engineers can now run ML algorithms and extract value from complex data without being AI experts. This bridges the gap between technical domains and cutting-edge machine learning, empowering better decision-making.

📖 digiLab’s spotlight feature just landed in Engineering Magazine’s Nuclear Technology Edition (pp. 90–91). Check out the full article: (link).

Read digiLab’s LinkedIn post: (link)

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Tools of the Day

• PicoGK: Compact open-source geometry kernel created by LEAP 71 (link)

• twinLab: The machine learning platform built for engineers by digiLab (link)

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Paper of the Day

• PIGNN-CFD: A physics-informed graph neural network for rapid predicting urban wind field defined on unstructured mesh (link). Kindly shared by Yan Barros on LinkedIn.

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