FROM CODE TO MACHINES: THE NEXT LEAP IN AI

3D printing made it easier to create a shape from a digital design. Atomic Machines says its Matter Compiler goes further: it aims to build tiny, working machines with moving parts. AI checks each manufacturing step and helps adjust the process. The goal is to make new designs without building special tools for every product.

The problem is that making very small machines is hard. Ordinary factories struggle with tiny features; chip factories are designed mainly for electronic circuits. That can make new miniature devices slow and costly to develop. Atomic Machines says its system can build machines just a few microns wide from digital instructions.

The first product is PrimeSwitch, a compact power relay designed for AI data centres. The company says it can open in 50 microseconds and handle 150 amps of continuous current. It is being sent to early-access customers for evaluation, so its real-world performance still needs to be tested. If the approach proves reliable, changing a design could become more like updating a file than rebuilding a factory line.

The possible uses go beyond data centres: tiny motors and gears, medical robots, and cooling built into computer chips. Such devices could help make machines smaller and enable designs that are difficult to manufacture today. But these are potential applications — not proof that the system can already make every kind of machine at scale. The bigger idea is programmable manufacturing: describing a device digitally and having a factory build it.

WHEN MACHINES CAN BE MADE LIKE SOFTWARE, THE PHYSICAL WORLD GETS A NEW KIND OF CODE.
Sanjay Sahay

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