Hi everyone, I wanted to share the Happy Hackers Programming Challenge that I organized on DMOJ a couple of months ago. Although the contest has already taken place, it's still a valuable resource for those looking to practice. The contest features six problems, graded from CCC Senior to CCO level, designed to progressively increase in difficulty. These were collaboratively tested by students from Carnegie Mellon, Cambridge, and UWaterloo. While the contest has passed, the problems remain a great way to sharpen your skills, especially the fifth problem, which I find particularly interesting. Here's the link to the contest page: Happy Hackers Programming Challenge I.

Also, I'm currently preparing for the Happy Hackers Programming Challenge II, expected to be out this summer. Feel free to check out the previous contest and stay tuned for the upcoming one!

Greetings, Codeforces community! I’ve developed ArtifAI, a tool that integrates deep learning to tackle the challenge of distinguishing AI-generated artworks from those created by humans. Utilizing a Convolutional Neural Network (CNN), ArtifAI can predict the origins of artworks. Additionally, a Generative Adversarial Network (GAN) is employed to generate heatmaps that visualize the distinguishing features used in the prediction process. This tool is designed for developers, tech enthusiasts, and anyone interested in AI’s role in art verification. The project is fully open-source and available on GitHub for you to explore and contribute. Check it out and get involved at ArtifAI GitHub and see the deployment in action at ArtifAI.