If you wanted to build an electronic dice, you might grab an Arduino and a nice OLED display to whip up something fancy. You could even choose an ESP32 and have it log your rolls to the cloud. Or, you could follow the lead of [Axiometa] and do it the old-school way.

The build is based around the famous 555 timer IC. It’s paired with a 4017 decade counter IC, which advances every time it receives a clock signal from the 555. With the aid of some simple transistor logic, this lights the corresponding LEDs for the numbers 1 to 6, which are laid out like the face of a typical six-sided die. For an added bit of fun, a tilt sensor is used to trigger the 555 and thus the roll of the dice. A little extra tweak to the circuit ensures the 555 keeps counting just a little while after you stop shaking. This makes the action feel like an actual dice roll.

Schematics are available for the curious. We’d love to see this expanded to emulate a range of other dice—like a D20 version that could blink away on the D&D table. We’ve covered some very exciting technology in that area as well.

Rolling two six-sided dice (2d6) gives results from 2 to 12 with a bell curve distribution. Seven being the most common result, two and twelve being the least common. But what if one could do this with a single die?

As part of research Putting Rigid Bodies to Rest, researchers show that a single eleven-sided asymmetric shape can deliver the same results. That is to say, it rolls numbers 2 to 12 in the same distribution as 2d6. It’s actually just one of the oddball dice [Hossein Baktash] and his group designed so if you find yourself intrigued, be sure to check out the 3D models and maybe print your own!

The research behind this is a novel method of figuring out what stable resting states exist for a given rigid body, without resorting to simulations. The method is differentiable, meaning it can be used not just to analyze shapes, but also to design shapes with specific properties.

For example, with a typical three-sided die each die face has an equal chance of coming up. But [Hossein] shows (at 8:05 in the video, embedded below) that it’s possible to design a three-sided die where the faces instead have a 25%-50%-25% distribution.

How well do they perform in practice? [Hossein] has done some physical testing showing results seem to match theory, at least when rolled on a hard surface. But we don’t think anyone has loaded these into an automated dice tester, yet.