The Long Road to Maxwell’s Equations

How four enthusiasts helped bring the theory of electromagnetism to light

14 min read
Illustration by Lorenzo Petrantoni
Illustration: Lorenzo Petrantoni

Should you wish to pay homage to the great physicist James Clerk Maxwell, you wouldn’t lack for locales in which to do it. There’s a memorial marker in London’s Westminster Abbey, not far from Isaac Newton’s grave. A magnificent statue was recently installed in Edinburgh, near his birthplace. Or you can pay your respects at his final resting place near Castle Douglas, in southwestern Scotland, a short distance from his beloved ancestral estate. They’re fitting monuments to the person who developed the first unified theory of physics, who showed that electricity and magnetism are intimately connected.

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New simulator to speed up solar cell development

Open-source tool could be coupled with neural networks for solar cell optimization and discovery

2 min read
Line drawing of a solar panel with a pattern of connected lines on it on it, with a net of lines radiating out from it.
MIT News/iStockphoto

To make solar cells that can eke out every bit of energy from sunlight, researchers rely on computer modeling tools. These simulators let them assess how minor tweaks to parameters like device structure, materials used, and the thickness of different material layers can affect ultimate power output.

Several solar cell simulator packages are already freely available. But these tools remain slow, and don’t allow researchers to optimize different design parameters simultaneously. New software from a team of researchers at MIT and Google Brain could streamline solar cell improvement and discovery.

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AI’s 6 Worst-Case Scenarios

Who needs Terminators when you have precision clickbait and ultra-deepfakes?

6 min read
Close-up grotesque collage of a man’s face, made of non-overlapping segments, with orange squares scattered across the image
Mike McQuade

Hollywood’s worst-case scenario involving artificial intelligence (AI) is familiar as a blockbuster sci-fi film: Machines acquire humanlike intelligence, achieving sentience, and inevitably turn into evil overlords that attempt to destroy the human race. This narrative capitalizes on our innate fear of technology, a reflection of the profound change that often accompanies new technological developments.

However, as Malcolm Murdock, machine-learning engineer and author of the 2019 novel The Quantum Price, puts it, “AI doesn’t have to be sentient to kill us all. There are plenty of other scenarios that will wipe us out before sentient AI becomes a problem.”

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