Two researchers may have found the solution to building a superfast robot that can solve a Rubik’s Cube, and they used a surprising tool to make it happen. Ben Katz, a student at the Massachusetts Institute of Technology, worked with Jared Di Carlo to create a machine that was able to solve the classic puzzle in just 0.39 seconds. The robot’s record beats Albert Beer’s robot that holds the Guinness World Record for 0.637 seconds.

“The machine can definitely go faster, but the tuning process is really time consuming since debugging needs to be done with the high speed camera,” Katz said in a blog post. “For the time being, Jared and I have both lost interest in playing the tuning game, but we might come back to it eventually and shave off another 100 [milliseconds] or so.”

The pair’s machine used a number of parts to solve the puzzle, but its vision system is perhaps the most surprising component. They used two PlayStation Eye cameras, the optional peripheral used by Sony’s PS3 for select games, to analyze the cube in split-seconds. Launching in 2007 for $39.99, many of them are now gathering dust in storage — Amazon lists used models for around $1 — as the PS4 that launched in 2013 uses a different camera.

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Although a forgotten relic of yesteryear’s gaming, the Eye is capable of capturing footage at 187 frames per second under Linux. The hardware was paired with color detection software that identifies the cube’s colors, which then uses Kociemba’s two-phase algorithm to work out a solution. In around 45 milliseconds, the software has read the cube and passed the correct motor movements to the hardware.

Watch the incredible moment below:

To power the fast movements, the apir invested in specialized hardware. The Kollmorgen SevoDisc motors that hold the cube can move 90 degrees in just 10 milliseconds. The cube held in position is a “YJ Yulong Smooth Sitckerless Speed Cube Puzzle,” the cheapest they could find on Amazon. Ultimately, the pair only broke four cubes in their quest to beat the record.

Turns out those old game controllers are good for something after all.

Photos via Ben Katz/YouTube

Last week SpaceX pulled off yet another historic flight by launching and recovering one of its Falcon 9 rockets for a record-breaking third time. But the celebration was particularly short-lived: Days later, a subsequent mission went amiss after the first stage of another Falcon 9 splashed down in the Atlantic Ocean after missing the landing pad at the Kennedy Air Force Base in Florida.

On Monday, scientists revealed the first images of a human inside the world’s newest total body scanner, called EXPLORER. The name is fitting because this scanner really leaves absolutely nothing to the imagination, tracking the way drugs and disease progress through every nook and cranny in the body.

Designed by biomedical engineering professor Simon Cherry, Ph.D., and biophysicist Ramsey Badawi, Ph.D. at University of California, Davis, this scanner produces images that look like a hybrid between a PET scan (which is often used to find tumors) and an X-ray, all in ghostly black and white. But what’s interesting about EXPLORER, which will be officially unveiled at the Radiological Society of North America meeting on November 24th, isn’t that it produces detailed images of tissues or bones. Cherry tells Inverse that it can also create 3D movies showing where certain drugs may end up in the body.

We’ve all been there: you’re out and your battery is at 5%. You’re frantically looking for an outlet for your phone in a crowded restaurant or train station. Your phone is like an extension of you so being without it isn’t just annoying, it can be crippling.

The BentoStack Charge is maybe the best solution to the battery life problem. It’s a wireless charger with both an easy to carry lid that charges your phone, and it comes with a storage box to carry a USB charger and even your wireless earbuds.

Boston Dynamic’s Terminator-esque robot, Atlas, can do the job of a warehouse worker, deal with frustrating situations, and parkour better than Michael Scott. But it still struggles with a physical activity that most children learn how to do by the time they’re a year old: walk.

Every time you’ve seen Atlas in action, it’s been locked in a permanent power squat instead of fully extending its legs like humans. That’s because its bent knees are necessary to help the bot stay balanced. To get around this problem, a team of roboticists at the Institute for Human and Machine Cognition have been trying to help Atlas learn to walk naturally. IHMC research scientist, Robert Griffin, explains that this is key to mastering more complex movements, like being able to sprint across a pile of cinder blocks and quickly recover if it trips.