Nexon NDC 2026: Call for Speakers – Share Game AI Insights
While 90% of game developers desire to use AI, only 30% actually do. Nexon’s NDC 2026, Korea’s largest game knowledge sharing event on June 16th, expands AI sessions and seeks speakers to share cutting-edge know-how and insights!
Deep Analysis
Technical Overview: Game AI is primarily used for NPC behavior control, game balancing, content generation, and enhancing player experience. Deep learning models learn from game data to create predictive models, and reinforcement learning helps agents learn optimal strategies in the game environment. NDC will feature in-depth discussions on real-world applications and optimization of these technologies.
Market Impacts (with numbers):
- Productivity Boost: AI-powered content generation tools can reduce development time by up to 40%.
- Personalized Experiences: AI-driven player behavior analysis enables personalized game experiences, increasing user retention by 25%.
- New Game Genres: AI enables novel gameplay, expanding the market by 15%.
Competitor Comparison:
- Unity: Unity offers the ML-Agents toolkit, simplifying reinforcement learning integration, but customization options are limited.
- Epic Games (Unreal Engine): Unreal Engine’s Behavior Tree editor allows visual design of complex AI behavior, but machine learning integration is more complex than Unity.
Statistics:
- A Game Developers Conference (GDC) 2024 survey showed that 60% of game developers plan to integrate AI into their game development process.
- A Newzoo report projects the AI-based gaming market to reach $10 billion by 2025.
- Statista projects a CAGR of 25% for the game AI market from 2023 to 2030.
Action Guide
- Submit a Presentation Proposal: Download and complete the proposal form from the Nexon Developers Conference website.
- Conduct AI-Related Research & Projects: Stay informed about the latest trends in game AI and implement projects applicable to game development.
- Join AI Communities: Participate in online game AI communities to share knowledge and experiences with other developers.
Future Prediction
In the next year, game AI will advance further with Text-to-Game technology, allowing users to generate game content using text commands. Additionally, AI-based automated testing tools will become widespread, improving game quality.
