Group 1 - The article discusses the recruitment of new interns focusing on generative AI applications and hardware entrepreneurship targeting the post-00s generation [3][5] - The events are scheduled for July 25 and July 26, 2025, in Beijing and Hangzhou respectively, with a limited number of participants to ensure focused discussions [3] - Key topics to be covered include AI multimodal generation, agents, AI social entertainment, and AI efficiency tools, aiming to engage young entrepreneurs in meaningful discussions [3][5] Group 2 - The company is looking for creative post-00s entrepreneurs to participate in discussions and activities related to AI and entrepreneurship [5] - The recruitment process emphasizes matching participants based on their background, potential entrepreneurial direction, and personal style to ensure relevant topic discussions [3] - The events are designed to foster collaboration and idea exchange among young talents in the AI field [3]

Group 1 - The event focuses on generative AI applications and hardware entrepreneurship, targeting post-00s individuals from large tech companies and potential AI entrepreneurs [1] - The discussion will cover topics such as AI multimodal generation, agents, AI social entertainment, and AI efficiency tools [1] - The event aims to create a meaningful networking opportunity by matching participants based on their backgrounds, potential entrepreneurial directions, and personal styles [1] Group 2 - The company is currently recruiting for a new internship program [3]

Group 1 - The event focuses on generative AI applications and hardware entrepreneurship, targeting post-00s individuals from large tech companies and potential AI entrepreneurs [1] - The discussion will cover topics such as AI multimodal generation, agents, AI social entertainment, and AI efficiency tools [1] - The event aims to create a meaningful networking opportunity by matching participants based on their backgrounds, potential entrepreneurial directions, and personal styles [1] Group 2 - The recruitment of new interns is currently underway, indicating a growth phase or expansion within the company [3]

Core Viewpoint - The article discusses the innovative framework JointDiT, which enables the generation of synchronized audio and video content from static images, marking a significant advancement in AI multimodal generation [1][5][28]. Group 1: Introduction to JointDiT - JointDiT is a collaborative effort between the Renmin University of China and ZhiDeMai Technology AI team, focusing on multimodal understanding, generation, and interaction [1]. - The framework aims to transform static images into dynamic videos with corresponding sounds, achieving high-quality joint generation of video and audio [1][6]. Group 2: Significance of Image-to-Sounding-Video (I2SV) - The task of generating synchronized audio and video from images (I2SV) is defined as a new frontier in AI multimodal generation, addressing the need for cohesive sensory experiences [6][12]. - Traditional models have struggled to integrate visual and auditory elements effectively, often resulting in semantic misalignment and timing issues [8][10]. Group 3: Technical Innovations of JointDiT - JointDiT employs a novel architecture that decomposes and reorganizes pre-trained models for audio and video, facilitating a unified generation framework [13]. - The framework introduces a Perceiver Joint Attention mechanism to enhance cross-modal interaction, improving synchronization and semantic consistency [15]. - JointCFG, a joint classifier-free guidance mechanism, is implemented to ensure deep collaboration between audio and video, enhancing overall generation quality [17]. Group 4: Experimental Results - JointDiT demonstrates significant improvements in video quality and audio naturalness, outperforming traditional pipeline methods in key metrics such as FVD and FAD [21]. - In subjective user evaluations, JointDiT ranked first across multiple categories, including video quality, audio quality, and overall effect, surpassing competitors by nearly 20% [21]. Group 5: Practical Applications and Future Directions - The advancements presented by JointDiT have implications for entertainment content creation and film production, as well as for the development of more generalized multimodal models [28]. - Future research aims to expand JointDiT to incorporate image, text, audio, and video modalities, paving the way for more intelligent multimodal generation systems [28][29].