An educational and competitive learning framework.
Our competition focuses on reestablishing Snakes, one of the most iconic cross-platform games, in a new light. The participants will once again delve into the familiar world of eating apples and avoiding their own tails, but this time they will also square off against each other in an intense battle of wits. Enroll and lead your slithering creation to glory in AI Snakes 2022!
The background image was generated using artificial intelligence (see https://app.wombo.art/).
AI Snakes is a tool that instructors can use to introduce topics in programming, data structures and algorithms in university-level introductory courses of computer science.
AI Snakes enables students to implement basic artificial intelligence and machine learning algorithms, while also enjoying collaboration (or friendly competition) with their peers.
The organizers are committed to promoting synergy among a growing and international community of university students.
Submission deadline: TBA
Results announcement: TBA
Livestream of the results: TBA
Luiz Araujo has a PhD in Computer Science at the University of Nottingham (UK), where he integrated the Computational Optimisation and learning (COL) lab. Areas of interest include optimisation, evolutionary algorithms, meta-learning and algorithm selection, cutting and packing, three-dimensional irregular packing in 3D Printing applications.
Joseph Alexander Brown is currently an Assistant Professor and Head of the Artificial Intelligence in Games Development Lab at Innopolis University in Innopolis, Republic of Tatarstan, Russia and an Adjunct Professor of Computer Science at Brock University, St. Catharines, ON, Canada. He is a Senior Member of the IEEE, a chair of the yearly Procedural Content Generation Jam (ProcJam) and Vice Chair for the IEEE Committee on Games.
Alexandr is a fourth-year bachelor student of Computer Science at Innopolis University, Russia. He has conducted research and published several academic papers as a member of the lab of Machine Learning and Artificial Intelligence. His research interests include combinatorial optimization, machine learning and mathematical programming applied to real-world problems.