CN中/EN英

Cooperation Games

Email:fuxi@service.netease.com

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Cooperation Case One:Arena

In the field of reinforcement learning research, it is usually to find an optimal strategy to get an AI Bot with the strongest power. However, in real game applications, AI with different levels of difficulty are usually required. How to generate different battle robots is also a very challenging topic.

In the game Justice, we provide the game with battle robots with all career and different difficulty levels for the players to fight in arena.

Cooperation Case Two:Gender Classification

Evaluate gender of the photo uploaded by players. This result is the reference for the future social gameplay.

 

Cooperation Case Three:Facial Transfer

Detect the facial of players based on the visual camera and drive the 3d game character. The player could make all kinds of interesting animations based on the facial transfer service.

Facial Transfer

 

Cooperation Case Four:Face Construction

Generate 3D faces based on the photos uploaded by players.

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Cooperation Case One:Sentiment Analysis

The research on sentiment analysis and opinion mining has been studied sufficiently. We are committed to introduce the latest research results into our project, which provides substantial evidence for the marketing and product teams based on massive data and public opinion analysis.

 

Cooperation Case Two:Battle Robot

In the field of reinforcement learning research, it is usually to find an optimal strategy to get an AI Bot with the strongest power. However, in real game applications, AI with different levels of difficulty are usually required. How to generate different battle robots is also a very challenging topic.

In the mobile game Butterfly Sword, we are making a rich and diverse battle robot which can use a variety of weapons. In the future, we will provide the game with battle robots for the players to fight in swordfight.

Butterfly Sword

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Cooperation Case One:Multimodal Gamebot Detection

Game bots lead to an imbalance in the game ecosystem and the collapse of user interest. We apply real-time bot detections to check players automatically, relying on AI algorithms to diagnose the behavioral traces of players and game frames.

Knives Out PC Plus

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Cooperation Case One:Gamebot Detection

Game bots lead to an imbalance in the game ecosystem and the collapse of user interest. We apply real-time bot detections to check players automatically, relying on AI algorithms to diagnose the behavioral traces of players.

Revelation

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Cooperation Case One:Gamebot Detection

Game bots lead to an imbalance in the game ecosystem and the collapse of user interest. We apply real-time bot detections to check players automatically, relying on AI algorithms to diagnose the behavioral traces of players.

Conqueror's Blade

 

Cooperation Case Two:Voice Clone

Voice Cloning first reproduces the player's timbre with a little speech of the player. Then, while keeping the player's speech content and rhythmic properties (such as modal tones), it exchanges the player's timbre to the target timbre, and make new sound waves.

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Cooperation Case One:Gamebot Detection

Game bots lead to an imbalance in the game ecosystem and the collapse of user interest. We apply real-time bot detections to check players automatically, relying on AI algorithms to diagnose the behavioral traces of players.

 

Cooperation Case Two:Identity Verification

CAPTCHA of tagged pictures together with questions are automatically generated by utilizing the natural attributes of the game, which offers a better user experience and prevent cracking.

This service increases the pass rate of normal players while lowering that of game bots, and gains a great welcome among game players.

 

Cooperation Case Three:Match making service for guanning gameplay

We provide match making service for the guanning gameplay (20VS20) in the game, enabling player to enjoy the fight with other players of the same ability, and therefore to gain a good play experience. Neural networks are introduced to make tight games and to make players more involved.

 

Cooperation Case Four:Dating Recommendation

Combine the neural network methods with the traditional questionnaire to deeply understands the player's heterosexual friend preference, the dating recommendation service encourages players to get involved into a closer relationship with other players, for those who have registered to the dating system. It enhances the user's stickiness to the game.

Dating Recommendation in Ghost

 

Cooperation Case Five:Attributes Improvement Recommendation

The attributes of roles are usually complicated in the MMO games and players sometimes encounter the problem of figuring out the ways to get stronger. The attributes improvement recommendation service gives proper advises based on the performance of players in the PVP battles, through which players better understand and improve their roles in the game.

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Cooperation Case One:Master Recommendation

We suggest the best candidates of the master in the game for players, by combining neural networks methods with questionnaires. This helps the new players learn to play faster and increases the retention of users.

Player relationship map

 

Cooperation Case Two:Gamebot Detection

Game bots lead to an imbalance in the game ecosystem and the collapse of user interest. We apply real-time bot detections to check players automatically, relying on AI algorithms to diagnose the behavioral traces of players.

 

Cooperation Case Three:Battle Robot

With the advent of AlphaGo, the technology behind it – reinforcement learning is once again emerging. The successful application of reinforcement learning technology in the fields of games, robot control, parameter optimization, machine vision makes it an important way to move toward general artificial intelligence.

In the mobile game Ghost, NetEase Fuxi Lab provide the game with battle robots with all career for the players to fight in school challenge.

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Cooperation Case One:Battle Robot--1vs1

With the advent of AlphaGo, the technology behind it – reinforcement learning is once again emerging. The successful application of reinforcement learning technology in the fields of games, robot control, parameter optimization, machine vision makes it an important way to move toward general artificial intelligence.

In the mobile game Fever Basketball, the build-in Game AI robot developed by Fuxi Lab has also been able to defeat the senior human players in the 1v1 mode, and the bots is called "AlphaGo" in the basketball game. In this regard, the game project team plans to develop a special gameplay, allowing players to experience the charm of the bots created by reinforcement learning.

Battle Robot

 

Cooperation Case Two:Matchmaking system

We provide match making service for the 3V3 matching mode and 3V3 ranking mode in the game, enabling player to enjoy the fight with other players of the same ability, and therefore to gain a good play experience. Neural networks are introduced to make tight games and to make players more involved.

 

Cooperation Case Three:User Acquisition

We provide accurate marketing service with big data technologies, to locate the potential players for the game from the market.

 

Cooperation Case Four:Ability Evaluation

Ability evaluation service evaluates the players behaviors and performance in the match. The real match-ability of every player is then obtained through the accumulation of performance points from his/her previous matches. This ability value is the reference for the future match-making service.

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Cooperation Case One:Visualized AI Design Toolkit

AI editing is an important step in the current game development process. Present games require complex AI systems to give players a rich gaming experience. The widely used behavior tree tool, although powerful, has the disadvantage of being difficult to handle and not flexible enough. The flowchart editing tool shows the monster's AI behavior and copy process in a familiar flow chart. With this editing tool, novice planners and even players can easily participate in the game design to realize their ideas in the game.

Visualized AI Design Toolkit

 

Cooperation Case Two:Gamebot Detection

Game bots lead to an imbalance in the game ecosystem and the collapse of user interest. We apply real-time bot detections to check players automatically, relying on AI algorithms to diagnose the behavioral traces of players.

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Cooperation Case One:Visualized AI Design Toolkit

AI editing is an important step in the current game development process. Present games require complex AI systems to give players a rich gaming experience. The widely used behavior tree tool, although powerful, has the disadvantage of being difficult to handle and not flexible enough. The flowchart editing tool shows the monster's AI behavior and copy process in a familiar flow chart. With this editing tool, novice planners and even players can easily participate in the game design to realize their ideas in the game.

Visualized AI Design Toolkit

#伏羲实验室#游戏玩家与中国顶级人工智能专家最为接近的一个机会网易游戏伏羲人工智能实验室招聘--期待与你一起点亮游戏未来!

#伏羲实验室#游戏玩家与中国顶级人工智能专家最为接近的一个机会网易游戏伏羲人工智能实验室招聘--期待与你一起点亮游戏未来!