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Recently, Xiaomi Technology Co., Ltd. transferred multiple 'Kimi' trademarks to Beijing Yuelong Anmai Technology Co., Ltd. This trademark was first applied for in 2013 and is currently mostly registered. As a company that has always been active in trademark protection, Xiaomi has sued through legal means multiple times due to trademark infringement issues. This transfer may be part of its strategic adjustment to focus on core businesses, aiming to optimize non-core trademark resources. Beijing Yuelong Anmai Technology Co., Ltd. was established in April 2023 with a registered capital of 1 million RMB, and the legal representative is

Recent breakthroughs in generative AI have enabled AI avatars to not only possess lifelike appearances but also speak naturally and fluently. This technology, incorporating cutting-edge speech synthesis and facial expression generation capabilities, is rapidly blurring the lines between the digital and physical worlds, propelling AI from a behind-the-scenes tool to a direct conversational partner with humans. The emergence of these AI avatars marks a crucial step in the convergence of generative AI technologies. By seamlessly integrating highly realistic facial animation with natural speech synthesis, these avatars offer unprecedented potential for revolutionizing communication and interaction.

In the field of AI art generation, diffusion models are transitioning from U-Net based architectures to Transformer-based architectures (DiT). However, the DiT ecosystem faces challenges in plugin support, efficiency, and multi-conditional control. Recently, a team led by Xiaojiu-z introduced EasyControl, an innovative framework designed to provide efficient and flexible conditional control capabilities for DiT models, effectively giving DiT models the power of ControlNet.

From April 1st to 18th, approximately 100,000 ninth-grade students in Wuhan participated in their physical education entrance examination. This year's exam introduced a new AI intelligent judging system, marking a significant shift in physical examination assessment. Traditionally, physical education exams relied on manual timing and scoring. This year's exam utilized intelligent devices and cloud management to ensure fairness and efficiency. The exam incorporated several AI technologies, including facial recognition, electronic distance measurement, and wireless sensing, covering 14 items across three categories.

Faster data transfer speeds are crucial for advancements in AI. Lightmatter, a Mountain View-based startup valued at $4.4 billion, has announced two new technologies to accelerate connections between AI chips. Having raised $850 million in venture capital, Lightmatter is part of the burgeoning silicon photonics trend in Silicon Valley. Their innovation lies in using optical fiber to transmit data via light signals instead of traditional electrical signals.

Ideogram has officially announced its latest image generation model—Ideogram 3.0. This version represents a significant breakthrough in realism, creative expression, and style consistency, and is considered a major milestone in the image generation field. The new model not only rivals top AI systems like GPT-4o but also attracts widespread attention due to its efficient performance and innovative features. Ideogram 3.0 has achieved a qualitative leap in text rendering capabilities. Compared to most image generation models on the market, this version can...

ByteDance has quietly launched an image generation tool called InfiniteYou (InfU). Simply put, it's a text-to-image generation model capable of producing high-quality images incorporating your personal identity features based on your text input. Unlike simple face-swap apps, it excels at precisely preserving your identity while flexibly changing scenes and content. Imagine easily generating images of yourself walking on the moon in a spacesuit, or dressed in ancient Chinese garb...

On March 19th, an open-source text-to-speech (TTS) model called Orpheus TTS was officially launched. This model has quickly gained attention for its human-like emotional expression, natural and fluent voice quality, and ultra-low latency real-time output stream. Orpheus TTS reportedly excels in real-time conversational scenarios and promises to bring new breakthroughs to intelligent voice interaction. Orpheus TTS focuses on low latency and high emotional expression, with core features including: - **Ultra-Low Latency**: Default latency approximately 2

Dubformer, a company specializing in AI dubbing technology, has raised $3.6 million in funding to further develop its innovative emotional transfer technology, enhancing the realism and emotional depth of AI-generated voiceovers.

According to Bloomberg reporter Mark Gurman, Apple plans to integrate Apple Intelligence into the Vision Pro headset as early as April. This AI suite was initially set to launch in June 2024, and will be introduced through the visionOS 2.4 software update, which is expected to be available for developers this week. Just a few weeks after the initial release of Apple Intelligence in June 2024, Gurman reported that Apple is looking to expand its AI capabilities.

Recently, Alibaba announced its latest technological achievement, Animate Anyone 2. This groundbreaking technology enables precise character replacement in videos. According to the project’s official website showcasing case studies, users only need to provide the original video and target character images, allowing the system to achieve real-time character replacement while preserving the original video’s motion trajectory. Experimental data shows that the system can completely transfer a soccer player's shooting motion to an animated character while maintaining the true physical characteristics of the ball's movement. This addresses the complex needs in film production.

With the rapid proliferation of digital devices, how to perfectly adapt images and videos to various screen sizes has become an urgent issue to address. A research team from the University of Sharjah in the UAE recently published a study that developed a novel technology using deep learning models to automatically predict the optimal size of images for seamless display across different devices. The core of this research utilizes transfer learning techniques, employing deep learning models such as Resnet18, DenseNet121, and InceptionV3.

Recently, OpenAI issued its first official statement regarding the death of former employee Suchir Balaji, but the content and timing of their response have sparked controversy, leading the public to question the sincerity of their attitude and suggest they are attempting to evade responsibility. In the statement, OpenAI expressed deep shock at the tragedy and stated that they had contacted Balaji's family to offer support. The company emphasized that they first became aware of Balaji's concerns when his comments were published by The New York Times, and that they had no further interactions with him afterward. The statement also noted their respect for employees' rights to express their opinions.

Alibaba DAMO Academy, in collaboration with the ModelScope community, recently announced the open sourcing of a new multilingual benchmark testing set, P-MMEval, aimed at comprehensively evaluating the multilingual capabilities of Large Language Models (LLMs) and conducting comparative analysis of cross-language transfer abilities. This testing set covers efficient datasets for both basic and specialized capabilities, ensuring consistency in multilingual coverage across all selected datasets, and provides parallel samples across multiple languages, supporting up to 10 languages from 8 different language families, including English, Chinese, and Arabic.