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Recently, Yingmou Technology announced the completion of a Series A financing round of several million dollars, attracting widespread attention in the industry. This financing was jointly led by Meituan Longzhu and ByteDance, with existing shareholders Sequoia China Seed Fund and Qiji Chuangtan also participating actively, while Guangsou Capital acted as the exclusive financial advisor. This infusion of funds will provide strong support for Yingmou Technology in the research and commercialization of 3D large models. Founded in 2020 by a group of young people with an average age of only 24, the team members include Wu Di and Zhang Qixuan.

Recently, a research team released a framework called HelloMeme, which can hyper-realistically transfer the expression of one person in an image to another person in a different image. As shown in the image below, by providing an expression image (first row), the expression details can be transferred to the character in other images. The core of HelloMeme lies in its unique network structure. This framework can extract features from each frame of driving videos and input these features into the HMControlModule. Through this processing, the research

ByteDance's open-source FLUX Dev's Hyper SD Lora has revolutionized AI drawing speed with its efficient image generation capabilities, shortening the traditional, lengthy process to just 8 or 16 steps. This move not only provides a fast track for creative realization but also establishes a demonstration space on Hugging Face, allowing users to directly experience the drawing effects of the 8-step Lora. Although there is some degradation in image quality, it has minimal impact for most users. Comparison examples show that the degradation is not significant when not enlarged.

In the recently concluded International Mathematical Olympiad, Google's DeepMind AI systems, AlphaProof and AlphaGeometry2, showcased remarkable problem-solving abilities, finishing just one point shy of the championship while surpassing human competitors in speed and accuracy. The AI achieved perfect scores on four problems and solved one in an astonishing 19 seconds, adhering to mathematical competition standards with rigorous clarity. This com....

AI-generated white faces are now so realistic that they appear 'more real than real', yet they exhibit bias in the representation of other ethnicities. The research found that biases in the algorithm's training data lead AI to favor white features when depicting other ethnic groups, potentially exacerbating online racial bias. The researchers urge public education to prevent misinformation and online scams, highlighting the potential issues brought by AI's 'hyper-realism'.