AI Rediscovered Kepler’s Law—But Engineers Still Lead

What happens when you give AI no instructions, no formulas, and just raw planetary data? It recreates one of the most famous laws in astronomy. But the bigger story isn’t that AI did it—it’s what this says about engineering, systems, and human control.

The Discovery

Researchers gave an AI dataset showing where planets were over time—without any physics or background knowledge. From just that, the AI recreated Kepler’s third law: the farther a planet is from the sun, the longer its orbit—and the relationship follows a clear mathematical pattern: T² = R³.

It’s not a fluke. The AI didn’t memorize or guess. It used symbolic regression to build the rule itself, just like Kepler did in the 1600s—only faster.

Why It Matters for Engineering

This wasn’t just math for math’s sake. The AI turned raw, real-world data into a functioning system. That’s exactly what engineers do every day—and now AI can support that process at scale.

At Singularity, we use this same idea to upgrade traditional workflows. Instead of manually tuning systems or relying only on legacy models, we design AI to build better ones. Whether it's streamlining flow control, optimizing process loops, or simplifying simulations—AI helps us do it faster, and with fewer assumptions.

Humans Are Still in Charge

AI didn't discover anything on its own. Humans built the model, selected the data, and interpreted the results. The machine may propose a rule—but it takes an engineer to confirm it's physically sound, safe, and applicable.

That’s the future we’re building: AI assists, engineers decide.

Want to see how AI can upgrade your workflows—without giving up control?

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