7th International Summer School on Artificial Intelligence and Games

International Summer School on AI and Games 2025

The 7th International Summer School on Artificial Intelligence and Games will be held in Malmö, Sweden 23-27 June 2025!

Join the leading global event dedicated to the intersection of AI and games! This summer school provides an intensive learning experience covering cutting-edge AI techniques in game playing, content generation, and player modeling delivered by leading experts from the games industry. This summer school offers an unparalleled deep dive into AI and Machine Learning for games. Whether you’re a student, researcher, or industry professional, this is your chance to explore the future of AI in gaming with world-class experts.

Designed for game developers, designers, programmers, and AI researchers, the program combines theoretical foundations with practical applications, including expert-led talks and tutorials and a Game AI Jam to apply your new skills.

Testimonials from Our Past Speakers & Participants

"Few events offer this kind of direct interaction between students, researchers, and industry professionals. The Summer School on AI and Games is a must for anyone starting in the field."

Wesley Kerr
Head of Technology Research

"I've had the huge privilege to attend twice, learnt more each time and met so many amazing people from across a huge range of global origins, career stages and overall awesomeness."

Sam Devlin
Principal Researcher (Games + AI)

"The Summer School is a fantastic event where students and experts alike engage in high-level discussions on AI in games. The mix of research and industry perspectives makes it truly unique."

Duygu Cakmak
R&D Director

"Attending the AI & Games Summer School early in my PhD was an incredible experience—engaging, inspiring, and full of hands-on learning. It shaped my understanding of game AI and connected me with an amazing community."

Enrica Loria
Senior Game Analytics Engineer

"As an AI researcher and video games fan, the AI & Games summer school was an amazing experience to learn about the intersection of AI & Games."

Wafa Aissa
Postdoctoral Researcher

"It was an amazing opportunity for me to learn pioneering game AI techniques in academia and industry, and to make wonderful research connections with the most influential game AI researchers in the world"

Jaeyoung Moon
PhD Student

Who should attend?

The Summer School is aimed at Graduate Students in Computer Science, Artificial Intelligence, Games, HCI, and Computational Intelligence; Game Developers, Designers, and Programmers; and AI Researchers interested in applying AI to games.

What to Expect?

Engaging Lectures – Gain insights into the latest research and developments in AI for games, from reinforcement learning to generative AI.
Hands-on Workshops – Participate in interactive sessions where you will apply AI techniques to real-world gaming problems, guided by leading experts.
Networking Opportunities – Connect with peers, researchers, and industry professionals, forging relationships that could lead to future collaborations.
Game AI Jam – Put your knowledge into action by collaborating on creative AI-driven game projects in an exciting challenge.

Meet the Experts

The summer school is led by Georgios N. Yannakakis and Julian Togelius, co-authors of Artificial Intelligence and Games, the first comprehensive textbook on AI applications in gaming. They are joined by guest lecturers from the game industry, bringing diverse perspectives and cutting-edge insights into AI-driven game development.

Our Sponsor

Partners this Year

More partners will be revealed soon...

Past Partners

Quantic Foundry stacked version full color

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Main Organizers

Georgios N. Yannakakis
Co-Founder | modl.ai
Professor | IDG, University of Malta

Georgios N. Yannakakis (yannakakis.net) is a Co-Founder and Research Director (Malta) of modl.ai, and a Professor at the Institute of Digital Games, University of Malta. He is a leading expert in the game artificial intelligence research field with core theoretical contributions in machine learning, evolutionary computation, affective computing and player modelling, computational creativity and procedural content generation. He has published more than 300 papers and his work has been cited broadly. He has attracted funding from several EU and national research agencies and received multiple awards for published work in top-tier journals and conferences. His work has been featured in New Scientist, Science Magazine, The Guardian, Le Monde and other venues. He is regularly invited to give keynote talks at the most recognised conferences in his areas of research activity and has organised a few of the most respected conferences in the areas of game AI and game research. He is an IEEE Fellow for contributions to affective computing and artificial intelligence applied to games and the Editor in Chief of the IEEE Transactions on Games. He has been an Associate Editor of the IEEE Transactions on Computational Intelligence and AI in Games and the IEEE Transactions on Affective Computing journals. He is the co-author of the Artificial Intelligence and Games Textbook.

Julian Togelius
Co-Founder & Research Director | modl.ai
Associate Professor | NYU Tandon

Julian Togelius (julian.togelius.com) is a Co-Founder and Research Director (New York) of modl.ai, and an Associate Professor at the Department of Computer Science and Engineering at the New York University Tandon School of Engineering. Previously, he was an Associate Professor at the Center for Computer Games Research, IT University of Copenhagen and among the founders of the procedural content generation research field. Togelius has introduced core procedural generation paradigms and frameworks for game content such as the Experience-driven Procedural Content Generation (EDPCG) framework and the Search-based Procedural Content Generation (SBPCG) paradigm which define two of the leading research trends within procedural content generation. EDPCG couples player experience modelling and procedural content generation so that game content is generated in a personalised manner for affecting the experience of the player and SBPCG offers a taxonomy for the generation of game content through search. He co-edited the first book on Procedural Content Generation in Games. Togelius' research has appeared in respected international media such as New Scientist, and Le Monde. He is the co-author of the Artificial Intelligence and Games textbook.

Guest Speakers

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Elvis Liu
Principal Engineer | Tencent

Dr Elvis Liu is a Principal Engineer at Tencent, where he leads multiple research and development teams specializing in game AI, generative AI, animations, game engine, physics simulation, and distributed virtual environments. As Tencent Games’ highest-ranking technical leader, his most remarkable achievements include spearheading the development of sparring AI agents for Naruto Mobile, the first commercial fighting game to incorporate deep reinforcement learning. He also created F.A.C.U.L., the world’s first FPS AI companion capable of seamless interaction with human players through natural language.

Before joining Tencent, Elvis was an Assistant Professor at Nanyang Technological University in Singapore, where he taught courses in virtual reality, modeling and simulation, and game development. He was also an IRCSET Fellow of Ireland and worked for IBM Ireland on exascale supercomputing systems. He has been an Associate Editor of the Springer Encyclopedia of Computer Graphics and Games and a frequent speaker at the Game Developers Conference (GDC).

Alessandro Sestini
Research Scientist | EA SEED

Alessandro Sestini is a research scientist at SEED, the research and development lab within Electronic Arts. His work focuses on the application of deep reinforcement learning, inverse reinforcement learning, imitation learning, and large language models to game AI and playtesting. Alessandro contributed to the game AI landscape publishing several academic papers and giving several talks about the intersection between machine learning and video game development, helping researchers and practitioners in adopting such technology.

Prior to joining SEED, Alessandro obtained his PhD with honourable mention in Smart Computing and Computer Engineering from Università degli Studi di Firenze

David Renaudie
Associate Director, Data Science | Massive Entertainment

David Renaudie is an Associate Director, Data Science at Massive Entertainment - a Ubisoft Studio. With a Ph.D. in applied machine learning and a passion for solving real-world challenging problems with AI, he occupied in the past decade several positions in research & development and intellectual property in the industry. As a data scientist, he contributed to bring early machine learning prototypes to production-grade products, for several key projects.

In the gaming industry, he is leading a data science team that supports game productions with advanced data processing solutions, pursuing the goal of enhancing player experience and production tools. He constantly aims at pushing boundaries of what data science brings to the complex art of crafting AAA video games, and published in recognized conferences such as Game Developers Conference, IEEE Conference on Games or IEEE Big Data Conference. He is presently working on several projects related to main franchises of the studio, namely Tom Clancy's The Division 2, Avatar Frontiers of Pandora, and Star Wars Outlaws.

Sahar Asadi
Director of AI Labs | King AI Labs

Sahar is the Director of AI Labs at King where she drives AI research for games. Sahar has obtained her Ph.D. on mobile robot olfaction from Applied Autonomous Sensor System, Orebro University. Throughout her 13 year-long industry journey, she got to apply research to real problems in many different domains: user experience at Spotify, distributed deep learning at Clusterone, information retrieval and NLP at Meltwater, and product recognition at OculusAI.

Oleg Smirnov
Senior Principal Research Engineer | King AI Labs

Oleg is a Senior Principal Research Engineer at King AI Labs, Microsoft, where his research focuses on representation learning for games, gaming, and gamer behavior. Prior to joining Microsoft, he held industrial research roles at Amazon and Spotify, where he contributed to projects at the intersection of behavioral sciences and machine learning, delivering solutions for user behavior modeling and personalization. Oleg's broader research interests include uncertainty quantification, Bayesian methods, and geometric approaches in deep learning, with a strong emphasis on applying these techniques to real-world challenges.

Daria Radu
Software Engineer | modl.ai

Daria Radu is an accomplished AI programmer and game developer with a robust foundation in web development and a Master’s degree in Games. She played a pivotal role as the AI programmer for Spoils, a groundbreaking card game featured in Saltsea Chronicles, the latest critically acclaimed release from Die Gute Fabrik.

Daria’s expertise in artificial intelligence and game programming has earned her speaking engagements at notable industry events such as the Game Developers Conference (GDC) and Devcom. Her passion lies at the intersection of AI and interactive entertainment, where she thrives in crafting innovative solutions to enhance gameplay and player experiences.

Currently, Daria can be found as a member of modl.ai, where she leads various teams in developing cutting-edge AI solutions for games.

Alex Zook
Senior Research Scientist | NVIDIA

Alex Zook researches the application of artificial intelligence to augment design and development for simulations and games. At Blizzard Entertainment he worked on reinforcement learning agents for game balancing and adversaries, simulations for modeling game economies, and matchmaking systems for competitive games across Blizzard's titles. At Unity Technologies he developed AI systems to address the sim2real gap, enabling the use of simulators for real-world computer vision and robotics problems. At NVIDIA he is working to unlock the potential of generative AI (2D and 3D content specifically) integrated into the NVIDIA Omniverse platform.

More speakers will be revealed soon...

Organizing Committee

Antonios Liapis
Associate Professor | IDG, University of Malta

Antonios Liapis is an Associate Professor at the Institute of Digital Games, University of Malta, where he bridges the gap between game technology and game design in courses focusing on human-computer creativity, digital prototyping and game development. His research focuses on Artificial Intelligence as an autonomous creator or as a facilitator of human creativity. His work includes computationally intelligent tools for game design, as well as computational creators that blend semantics, visuals, sound, plot and level structure to create horror games, adventure games and more. He has also co-organized numerous game jams, and has participated in even more!

David Melhart
Postdoctoral Researcher | IDG, University of Malta

David Melhart is a Postdoctoral AI Researcher at the Institute of Digital Games, University of Malta. His research focuses on User Research, Player Modelling, Annotation Tools for Affective Computing, and Ethics in Game AI. He was a keynote speaker and panellist at the 26th European Conference on Artificial Intelligence 2023 - Ethics of Game AI Workshop EGAI @ ECAI 2023, Communication Chair of FDG 2020, Workshop and Panels Chair of FDG2023, has been a recurring Organizer and Publicity Chair of the Summer School series on Artificial Intelligence and Games (2018-2024), and currently serves as an Editorial Assistant to the IEEE Transactions on Games.

Local Organizers

José Font
Associate Professor | University of Malmö

José is Associate Professor in Computer Science at Malmö University and holds a PhD in artificial intelligence from the Universidad Politécnica de Madrid.

His research focuses on artificial intelligence and computational intelligence in games, exploring the ways in which AI can be a productive and creative tool during the video game development process, such as procedural content generation and mixed-initiative creative tools. He is also active in gamification, e-learning, and purposeful games.

Raquel Robinson
Associate Senior Lecturer | University of Malmö

Raquel Robinson is a joint Associate Senior Lecturer at MAU and Marie Skłodowska-Curie Postdoctoral Fellow at IT University of Copenhagen. As part of her fellowship (project RAGE), she looks into hidden assumptions and implicit understandings surrounding emotion within biofeedback and affect-adaptive games. Previously, she has been a postdoctoral fellow at University of California, Santa Cruz and Ontario Tech University.

Raquel is particularly interested in playful and social embodied experiences such as live action roleplay, affective and biofeedback games, and how they can be used to connect people. Her work has been featured in Polygon and New Scientist.

Alberto Alvarez
Associate Senior Lecturer | University of Malmö

Alberto Alvarez is Associate Senior Lecturer and former PhD student (graduated fall 2022) at the faculty of technology and society at Malmö University.

His research focuses on exploring and developing Human-AI collaborative systems to co-create games and creative content, investigating Human-AI roles, properties, and interactions. His research interests and past work includes Human-AI collaboration systems, PCG, Quality-Diversity Algorithms, and Designer Models. He is also interested in making computer science topics such as Artificial Intelligence more accesible to society and other fields.

Program

Each year we strive to bring a diverse program from different aspects of applied AI research and game development.

	Monday 23 June	Tuesday 24 June	Thursday 26 June	Friday 27 June
	Foundations	AI and Games Summit	Talks & Game Jam
08:00-09:00	Registration
09:30-17:30	Introduction and State of the Art	Innovation and State of Practice	Future of Game AI + Game AI Jam	Game AI Jam
from 18:00	Welcome Reception			Farewell Reception

The program includes a lunch and two coffee breaks each day.

Each year we strive to bring a diverse program from different aspects of applied AI research and game development.

Wednesday 25 June		AI & Games Summit: Innovation and State of Practice
	08:00-09:00	09:30-17:30	from 18:00
Monday 23 June	Registration	Introduction and State of the Art	Welcome Reception
Tuesday 24 June		AI & Games Summit: Innovation and State of Practice
Thursday 26 June		Future of Game AI + Game AI Jam
Friday 27 June		Game AI Jam	Farewell Reception

The program includes a lunch and two coffee breaks each day.

We will announce the full program soon, in the meantime, please find the program of each previous summer school below:.

1st School
2018, Chania, Greece

2nd School
2019, New York, USA

3rd School
2021, Copenhagen, Denmark

4th School
2022, Chania, Greece

5th School
2023, Cambridge, UK

6th School
2024, Valletta, Malta

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Registration

Our exclusive in-person event offers a great selection of live lectures & workshops by industry-leading experts, one-on-one speed meetings with the organizers, networking opportunities with our guest speakers, and a game AI jam at the end of the summer school! We have a limited number of seats available. Be sure to secure your seat early by registering for the event below!

Please make sure that you provide the name, email, and affiliation of the attendee for the registration during the purchase. We will use this name and email address to keep track of your registration and notify you about the event.

Registration until 23 May
Ticket	Price
Student/Indie Developer*	€500.00 +18% VAT (€90.00)	REGISTER
Research Faculty*	€600.00 +18% VAT (€108.00)	REGISTER
Industry Professional*	€850.00 +18% VAT (€153)	REGISTER
*Registration includes breakfast, lunch and coffee breaks for the entire 5-day event and two networking dinner-receptions.
AI & Games Summit 2-Day Ticket**	€450.00 +18% VAT (€81.00)	REGISTER
**Ticket exclusive to the Summit days of the Summer School — Tuesday 24 June and Wednesday 25 June.

Early Bird Registration until 15 March
Ticket	Price*
Student/Indie Developer	€450.00 +18% VAT (€81.00)
Research Faculty	€550.00 +18% VAT (€99.00)
Industry Professional	€800.00 +18% VAT (€144)

If you missed your chance, don't worry, we will be opening up more tickets once the regular registration period is over. If you don't want to miss the tickets or other updates regarding our events please consider subscribing to our Newsletter and following us on Social Media!

Scholarships & Support Schemes

Our Sponsors from King offer scholarship seats for students at the International Summer School on AI and Games!

We offer this opportunity to students based on an outstanding CV and a short statement of motivation emphasizing the role of this summer school in the development of your current or future game AI projects or research. To apply fill out the application form below:

Scholarship Application

Selected candidates will have their registration fee waived and will be awarded a small travel aid*.

The deadline for applications is 31 March 2025.

*This travel aid is given to recipients after the summer school dates. Only students appearing at the summer school in person are eligible for receiving travel aid, scholarship recipients who cannot make it to the summer school forfeit their aid.

Main Conference Venue

The 7th International Summer School on Artificial Intelligence and Games will be held in Malmö, Sweden at the Orkanen Building of the Malmö University. The building is located just opposite Niagara, near Malmö Central Station.