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Based on our record, PixiJS seems to be a lot more popular than A.I. Experiments by Google. While we know about 69 links to PixiJS, we've tracked only 5 mentions of A.I. Experiments by Google. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
And canvas felt almost natural and invoked heavy nostalgia from the first time I touched keyboard and wrote primitive program to draw a house out of lines utilizing Basic. Later on I had a chance to broaden my expertise, when I was doing my hobby game project with Pixi and small bits and pieces on FindLabs pages. - Source: dev.to / about 2 months ago
The canvas in Obsidian is as the whole app very well made. I wondered what they are using as well. My guess is https://www.xyflow.com/, which is for drawing nodes. More general purpose would be http://fabricjs.com/. Or very low level https://pixijs.com/. - Source: Hacker News / 4 months ago
Https://pixijs.com/ and https://gsap.com/. All of the source code for my posts can be found at https://github.com/samwho/visualisations :). - Source: Hacker News / 5 months ago
For full web games (yeah, I come from the web, so I try to make my family proud), I will recommend PixiJS. It has great support for TypeScript and works very well with Vite. It's lighter than other game engines, so it's better for web games. But you will need to do a lot of things by yourself. - Source: dev.to / 7 months ago
Https://openarena.live/ There's also a bunch of Javascript game engines: https://github.com/collections/javascript-game-engines Or PixiJS for 2D: https://pixijs.com/. - Source: Hacker News / 9 months ago
Try this: https://experiments.withgoogle.com/collection/ai. Source: over 1 year ago
But Google has a whole set of AI writing tools - https://experiments.withgoogle.com/collection/ai So by their own definition they are producing spam? - Source: Hacker News / about 2 years ago
Https://experiments.withgoogle.com/collection/ai might also help (I haven't used this IRL). Source: over 2 years ago
It's hard to imagine you've not seen Google's doodle guessing training (or their other experiments) but it's just another example of how little information you actually need to create a recognizable image, though Canvas also shows this off, but it has the benefit of material information. Source: over 2 years ago
To come back to your original question, as far as I'm aware anyone can publish on arxiv or researchgate. People will just tend to take you less serious. Maybe a better solution for you is something like this https://experiments.withgoogle.com/collection/ai . You already said you think your idea might be industry changing so if it truly is, I'm sure people will start noticing you. Source: about 3 years ago
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