Andrew Paul is Popular Science's staff writer covering tech news. Previously, he was a regular contributor to The A.V. Club and Input, and has had recent work featured by Rolling Stone, Fangoria, GQ, Slate, NBC, as well as McSweeney's Internet Tendency. He lives outside Indianapolis.
ArticleBody:Magnetic resonance imaging machines are crucial tools for medical care—but even after decades of use, its underlying superconductors still have their drawbacks. Most MRI machines today rely on powerful magnets built from huge coils of copper and niobium-tin alloy that make for extremely bulky and expensive machines. Because of this, the screening equipment is generally relegated to larger, well-funded hospitals with specialized areas to house an MRI system.
After training the program on researchers’ previous iron magnet attempts , BOXVIA began to identify weaknesses and potential improvement. From there, the ML program tweaked the magnet’s basic structure to determine the best design in a fraction of the time it might take humans to accomplish. In doing so, BOXVIA revealed a new architectural approach that designers previously didn’t consider—one that relies on varying sizes of iron crystals instead of uniform rates usually created by engineers.
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