Welcome to the AI Daily section! Here is your daily guide to exploring the world of artificial intelligence. Every day, we bring you the hottest topics in the AI field, focusing on developers to help you understand technology trends and innovative AI product applications.
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1、ByteDance Introduces Emotionally Controlled Voice Generation Model Seed-TTS, Indistinguishable from Human Voice
This article introduces the new voice generation model Seed-TTS proposed by the ByteDance team. The model is based on an autoregressive Transformer architecture, boasting high voice quality and expressiveness, making it difficult to distinguish from human speech. It excels in emotional control, novel dubbing, and cross-language content creation, enhancing the naturalness and controllability of pronunciation through self-distillation and reinforcement learning techniques. Seed-TTS has made significant progress in the field of voice synthesis, opening up new possibilities for future voice synthesis technology.
AiBase Highlights:
🎯 The ByteDance team introduces the new voice generation model Seed-TTS, capable of producing natural and expressive voices.
🎯 Outstanding performance in emotional control, able to adjust the emotional attributes of generated speech, as well as tone and speaking style.
🎯 Capable of simulating complex emotions and contexts, particularly suitable for novel reading, video dubbing, and other scenarios.
Product link: https://top.aibase.com/tool/seed-tts
2、Stability AI Releases AI Audio Model Stable Audio Open
Stable Audio Open is an open-source text-to-audio model launched by Stability AI, capable of generating audio samples and sound effects up to 47 seconds long, suitable for music production and sound design. Users can create audio elements such as drum beats, instrumental segments, and ambient sounds, supporting audio variation and style conversion. The model provides stable audio generation quality and length, allowing users to fine-tune the model with custom audio data to improve the quality and controllability of the generated audio.
AiBase Highlights:
🔊 Stable Audio Open is an open-source text-to-audio model, generating audio samples and sound effects up to 47 seconds long.
🎶 The model supports the creation of audio elements such as drum beats, instrumental segments, and ambient sounds.
🔧 Users can fine-tune the model with custom audio data to improve the quality and controllability of the generated audio.
3、Suno's New Feature Preempted by Udio, Upload Any Audio and Udio Will Extend Your Creation
This article discusses how Suno's planned new feature was preempted by competitor Udio. Udio has rolled out a series of updates to help users upload audio clips and automatically parse melodies and chords, creating beautiful music with multiple convenient features.
AiBase Highlights:
🎵 Udio has released a series of updates, allowing users to upload any audio clip, and Udio will parse the melody and chords for you, creating a beautiful piece of music in minutes.
🎵 Provides a rich set of prompts and sources of inspiration to help users expand their musical ideas and seek creative inspiration.
🎵 Note that this feature is currently only available to paid users.
Product entry: https://top.aibase.com/tool/udio
Details here: https://mp.weixin.qq.com/s/QO_ucbMUD-6UJ1gs_j340A
4、Adobe Updates Privacy Terms, Granting Rights to Use User Works for AI Training
Adobe recently updated its privacy terms, sparking user concerns. Users are worried about losing privacy for their design works, which might be used for AI training or content review, potentially leading to a breakdown of trust between designers and clients, affecting professional development. This has sparked discussions on personal privacy rights and intellectual property protection.
AiBase Highlights:
🔍 Adobe requires users to agree to new usage terms, including the right to access user-created content.
🔍 Designer and artist works may lose privacy, used for AI training or content review.
🔍 Updated Adobe privacy terms raise user concerns about the privacy of design work.
5、Tencent Hunyuan Releases Open-Source Text-to-Image Large Model Hunyuan DiT Acceleration Library
Tencent Hunyuan has released an acceleration library for the open-source text-to-image large model Hunyuan DiT, which can reduce inference time by 75%, significantly shortening image generation time. Users can call the model with three lines of code without downloading the original code. Tencent Hunyuan states it will continue to optimize the open-source ecosystem of Hunyuan DiT, co-building a visual generation open-source ecosystem, and promoting the development of large model industries.
AiBase Highlights:
🚀 Accelerates inference time by 75%
💻 Calls the model with three lines of code, no need to download the original code
🌱 Co-builds a visual generation open-source ecosystem, promoting the development of large model industries
Details: https://dit.hunyuan.tencent.com/
6、MiGPT Project: Integrating XiaoAI Speaker with ChatGPT and Doubao
The MiGPT project integrates the XiaoAI speaker and Mi Home smart devices with ChatGPT technology, creating a smart and caring home assistant, automating home functions and establishing emotional connections. The project's main highlights include LLM responses, role-playing, streaming responses, long-term and short-term memory, custom TTS, and smart home agents. The project offers two startup methods to suit different user needs, with configuration parameters requiring user customization to ensure proper connection.
AiBase Highlights:
🤖 XiaoAI speaker uses large language models like ChatGPT to answer questions, provide information, and assist.
👩💼 XiaoAI speaker can quickly switch roles based on scenarios and user needs, such as a perfect partner or a caring best friend.
🔊 System responds to user commands in real-time, providing a smooth interactive experience, remembering conversation history for more natural and harmonious conversations.
Details: https://top.aibase.com/tool/migpt
7、Yuanfudao's AI Design Tool Motiff Miaoduo Launches Globally
Motiff Miaoduo is an interface design software positioned as an AI-era design tool, optimizing the design process through AI technology to improve production efficiency and bring users an unprecedented design experience. The software introduces several innovations, including AI duplication, AI layout, AI design system creation, AI design system maintenance, AI consistency checks, and more, making it the first interface design software in China with a self-developed graphic rendering engine.
AiBase Highlights:
🚀 Motiff Miaoduo optimizes the design process through AI technology, improving production efficiency and bringing users an unprecedented design experience.
🎨 The software introduces several innovations, including AI duplication, AI layout, AI design system creation, AI design system maintenance, AI consistency checks, and more.
💡 Motiff Miaoduo showcases an AI toolbox, AI design system, and AI lab, effectively enhancing the productivity of the interface design industry.
8、Jimeng Fully Launches Real-Time Canvas Feature
Jimeng announces the full launch of the real-time canvas feature, allowing users to customize images by simply drawing shapes and adding prompts, making AI drawing more controllable. After saving as a new layer, users can continue to optimize, and upon finalizing, save as an image.
AiBase Highlights:
🎨 The real-time canvas feature allows users to draw shapes and add prompts to customize images, enhancing the user experience.
🖌️ By roughly drawing shapes, users can obtain customized images to meet their needs.
💡 Saving as a new layer allows for further adjustment and optimization, improving image quality.
9、Google AI Overview Function Trigger Frequency Significantly Decreased
Google's AI overview now appears in less than 15% of query results, a significant change from the previous 84%. The presentation of AI in search results has been adjusted to improve search quality. The article points out that the role of AI in search is constantly evolving, and although the overview function has decreased, the application of AI in search is an inevitable change.
AiBase Highlights:
⭐ Google AI overview trigger frequency has dropped from 84% to less than 15%
⭐ Google has reduced the overlap between AI citations and traditional search results, improving search quality
⭐ AI in search predicts and displays subsequent questions, with searchers conducting multiple queries
10、Researchers Develop AI Capable of Recognizing Athlete Emotions
Researchers have successfully used computer-assisted neural networks to accurately identify emotional states from the body language of tennis players, demonstrating the potential of AI in emotion recognition. However, this research also raises ethical issues that require clarification of relevant laws and moral questions.
AiBase Highlights:
🔍 AI can accurately recognize the emotional states of tennis players, showing capabilities comparable to human observers.
🔍 Using real match data to train AI models has improved the accuracy of emotion recognition.
🔍 Emotion recognition technology can be applied in multiple fields, including training improvement, team dynamics enhancement, and early detection of negative emotions.
11、Ouroboros3D: Image-to-3D Generation Achieved Through 3D Perception
Ouroboros3D is a unified 3D generation framework that integrates multi-view image generation and 3D reconstruction. Through a recursive diffusion process, it achieves image-to-3D generation. Researchers propose this new method with multiple advantages, including generating more diverse and realistic view images, reducing noise and distortion, and improving generation efficiency. Experiments show that Ouroboros3D-generated 3D models have better details and accuracy, close to real 3D scenes.
AiBase Highlights:
🔍 Ouroboros3D integrates multi-view image generation and 3D reconstruction, achieving image-to-3D generation through recursive diffusion.
🔍 Ouroboros3D adopts a diffusion-based multi-view image generation and 3D reconstruction method, constructing a unified 3D generation framework.
🔍 Ouroboros3D has advantages: generating more diverse and realistic view images, reducing noise and distortion, and improving generation efficiency.
12、Mobile-Agent-v2: Teaching AI to Automatically Use Smartphones
Mobile-Agent-v2 is an advanced AI system that achieves comprehensive control over mobile devices through a multi-agent collaborative architecture, increasing task completion rates by over 30%. The system can automate tasks such as searching and purchasing goods, sending emails, setting navigation, and watching videos, bringing more convenience to users.
AiBase Highlights:
🤖 Multi-agent collaborative architecture increases task completion rates by over 30%
