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英伟达发布小语言模型Nemotron-Nano-9B-v2;印度研发400纳米机器人,“钢铁防线”实现牙齿脱敏丨AIGC日报
创业邦· 2025-08-20 00:08
Group 1 - Alibaba's Tongyi Qianwen launched Qwen-Image-Edit, an image editing model based on the 20 billion parameter Qwen-Image, enhancing text rendering capabilities for precise image editing [2] - Nvidia introduced the Nemotron-Nano-9B-V2, an open-source small language model that achieved best-in-class performance in specified benchmark tests and can run on a single Nvidia A10 GPU [2] - Taotian Group's future life lab developed CombatVLA, a 3D action game-specific model that outperformed both GPT-4o and human players in combat tasks, addressing real-time decision-making challenges in complex 3D environments [2][3] Group 2 - The CombatVLA model provides detailed action execution and frame sequences for games like "Black Myth: Wukong" and "Sekiro: Shadows Die Twice," showcasing its ability to interpret game scenarios and execute actions effectively [3][4] - India's research team developed CalBot, a 400-nanometer robot aimed at treating tooth sensitivity by creating a protective layer within dentinal tubules, potentially offering a solution similar to enamel protection [4]