Everyone Draw vs Aliens Network

Everyone Draw is one giant pixel art canvas that never ends, and everyone's drawing on it at the same time. Pick a color, tap a spot, and your pixel shows up for everyone in real time. Draw with friends, or draw with strangers from all over the world. More than 585 MILLION PIXELS have been placed so far. There's room for yours. AN INFINITE CANVAS Zoom out and scroll as far as you like, in any direction. Look around and you'll find all kinds of drawings: tiny doodles, huge pixel cities with roads and railways, world maps, flags, fan art and community projects that took weeks. Start something as small as a stick figure or as big as a skyline and see who joins in. DRAW TOGETHER, LIVE Everyone Draw is an online multiplayer drawing game, and everything happens live. You can watch other people place their pixels, and they can watch you. Team up with people you've never met on a huge piece of pixel art. Just know that anyone can draw over anything, so the art that lasts is the art people keep coming back to look after. FIND A QUIET CORNER Want somewhere calmer? Tap "Start new drawing" to jump to an empty spot far from the busy center, then send the link to your friends so you can draw there together. WATCH IT GROW Sign in to make a timelapse of any drawing and watch it come together pixel by pixel. It's weirdly satisfying. NO ACCOUNT NEEDED TO DRAW Open the app, tap a color, tap a pixel. That's it, you're drawing. Not sure what to draw? - The skyline of your city - Something abstract or minimal - A landscape, real or made up - A self-portrait - Your favorite anime character - More of "the void", so it can eat other drawings - Your country's flag, or a whole row of them There are a few rules to keep the canvas fun for everyone, and you can report drawings that break them right from the app. Everyone Draw is made by one indie developer. Thanks for drawing, and see you on the canvas!

Aliens is a 3D game that aims to train characters to find the best route on the map. The game contains a Swift implementation of the NEAT genetic algorithm, allowing for parameter editing to better understand.