📱 How AI Trains Esports Players

The life of a professional esports player is filled with intensive training. Each day includes several hours of scrims — practice matches against comparable skill-level teams. Coaches analyze the results of these games, identifying weaknesses and improving their players' skills. However, AI tools now take this task to the next level, offering game-specific adaptations and more precise insights.

🪞 Personalized Training

AI from Hewlett Packard Enterprise analyzes each player's unique style, providing tailored advice to improve critical skills such as shooting accuracy, maneuverability, and reaction speed. This is especially important in first-person shooter (FPS) games.

👋 Enemy Simulation

AI can generate digital replicas of opponents by analyzing recordings of their gameplay. This allows players to practice against AI clones of their future adversaries, giving them a strategic edge before the actual match.

🤖 Smart NPCs

NVIDIA's Covert Protocol technology enables the creation of non-player characters (NPCs) controlled by AI rather than pre-set scripts. This innovation ensures that each game playthrough is unique, as NPCs adapt and react differently to various events. The technology is actively used in popular games like League of Legends and VALORANT.

👮‍♀️ Anti-Cheaters

Researchers at the University of Texas have developed AI algorithms that analyze gameplay anomalies to detect cheating behaviors, such as unnatural aiming at opponents. Although still in development and currently effective only in Counter-Strike, this tool has already demonstrated high efficacy in identifying dishonest players.

🎮 For the first time in history, the Olympic Esports Games will be held in 2025. Saudi Arabia will be the first country to host the sport.

Which Olympic Games do you find more entertaining?

🏆 — Traditional sports
🔥 — Esports

More about games:

🤖 How NPC AI Came to Be: Non-Player Characters with Their Own Opinions

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