IDREAMSKY: Shenzhen IDREAMSKY and Tencent Cloud have reached a strategic cooperation in the field of game AI, establishing a joint innovation laboratory
IDREAMSKY has reached a strategic cooperation with Tencent Cloud to establish a joint innovation laboratory, focusing on AI-assisted game development. Both parties will jointly invest resources to deepen the application of AI technology in games, including AI code assistants, model optimization, and the construction of game knowledge bases, to enhance game development efficiency and interactivity
According to the Zhitong Finance APP, IDREAMSKY (01119) announced that its Chinese comprehensive subsidiary, Shenzhen IDREAMSKY Technology Co., Ltd., has recently signed a strategic cooperation agreement with Tencent Cloud Computing (Beijing) Co., Ltd. (Tencent Cloud). The two parties will establish a joint innovation laboratory focusing on the theme of "AI-assisted game development quality improvement and efficiency enhancement," continuously deepening their collaboration based on existing AI code assistants, AI development efficiency tools, and more. By combining the group's actual game scenarios with Tencent Cloud's technological advantages, they aim to achieve long-term strategic cooperation, jointly invest resources, continuously innovate in the field of game AI, and promote the implementation of technology.
It is reported that Tencent Cloud is a product under Tencent Holdings Limited, providing developers and enterprises with cloud services, cloud data, cloud operations, and other service solutions. In recent years, the group has also been committed to applying AI technology in its games to enhance character interactivity and integrating AI into various stages of game development to achieve a more efficient and intelligent game production process. The two parties will cooperate in the following areas:
(1) Exploration of AI code assistants in UE (Unreal Engine) white-box testing scenarios, achieving code analysis, test case generation, automatic execution, and result analysis to assist developers in UE white-box testing;
(2) Joint optimization of specialized models based on the group's project development experience in UE, Unity, and other areas, achieving game code completion and enhancing technical dialogue scenario effects;
(3) Jointly creating a game RAG knowledge base by combining the group's game practice data with Tencent Cloud's large model knowledge engine, providing game practitioners with richer and more accessible knowledge in the gaming field; and
(4) Collaboratively promoting the deep implementation of AI development efficiency tools, intelligent NPCs, game risk control, and other scenarios based on specific project contexts
