AI Games

Jalwa uses AI to enhance gameplay, create more engaging characters and environments, and enable a more immersive experience. These advanced systems can also analyze player behavior to help improve game design and monetization strategies, anticipate future content needs, and prevent fraud.

Almost all modern games use some form of AI to make the game world feel more real. AI can improve dialogue, increase realism, and enhance the appearance of NPCs (non-player characters). Some of the most popular game genres include action and first-person shooter titles that require advanced combat AI.

Games as AI Training Environments: Case Studies

Other uses of AI in games are more subtle. For example, generative AI can generate infinite 3D objects and landscapes to densely populate game worlds with unprecedented visual fidelity. This can reduce overall game data file sizes and load times for a smoother gameplay experience.

The more complex types of AI used in gaming involve decision-making and planning. For example, Bioshock: Infinite’s Elizabeth uses advanced AI to behave more humanlike and react to the player.

Another example of this is a game called Learn(), which puts the player in the role of a machine learning specialist without having to know how to program. The game uses visual programming puzzles to teach players about real-world applications of this type of artificial intelligence, such as building software for autonomous vehicles, manufacturing toys, surveying consumer preferences, or even rigging elections.