No A.I. Experiments by Google videos yet. You could help us improve this page by suggesting one.
Based on our record, A.I. Experiments by Google seems to be more popular. It has been mentiond 5 times since March 2021. 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.
Try this: https://experiments.withgoogle.com/collection/ai. Source: over 2 years 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 3 years ago
Https://experiments.withgoogle.com/collection/ai might also help (I haven't used this IRL). Source: over 3 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 3 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: almost 4 years ago
Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.
6 Minute intro to AI - A good looking introduction to everything AI 🤖
GNU Octave - GNU Octave is a programming language for scientific computing.
AI Cheatsheet - A tool to help you ace AI basics
Scilab - Scilab Official Website. Enter your search in the box aboveAbout ScilabScilab is free and open source software for numerical . Thanks for downloading Scilab!
Apple Machine Learning Journal - A blog written by Apple engineers