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Based on our record, AWS CodeCommit should be more popular than A.I. Experiments by Google. It has been mentiond 22 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.
AWS CodeCommit: secure, highly scalable, managed source control service that hosts private Git repositories. - Source: dev.to / 2 months ago
AWS CodeCommit is AWS's hosted GitHub in the cloud. It is integrated with IAM and you should understand how different levels of permissions that can be granted to users of the service. Know what the AWSCodeCommitPowerUser policy is for. You can receive notifications via SNS to invoke downstream actions in AWS CodeBuild, AWS CodePipeline or other competing services. - Source: dev.to / 4 months ago
CodeCommit - 5 active users,50GB storage, and 10000 requests per month. - Source: dev.to / 4 months ago
Build – Used for all CodeCommit repositories and CodePipelines that are deployed within the landing zone. - Source: dev.to / 5 months ago
PR-Agent offers extensive pull request functionalities across various git providers: GitHub, GitLab, or Bitbucket, CodeCommit, Azure DevOps, Gerrit. - Source: dev.to / 5 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
Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.
Facebook.ai - Everything you need to take AI from research to production
Atlassian Bitbucket Server - Atlassian Bitbucket Server is a scalable collaborative Git solution.
Talk to Books by Google - Browse passages from books using experimental AI
Mercurial SCM - Mercurial is a free, distributed source control management tool.
Lobe - Visual tool for building custom deep learning models