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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

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.

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.

O aplicativo Tianyancha mostra que, recentemente, a Robô Transporte (Zigong) Tecnologia Co., Ltd. foi estabelecida, com Bi Ran como representante legal e capital registrado de 1 milhão de yuans. O escopo de negócios inclui desenvolvimento de software, serviços de sistemas de computadores, serviços de dados de internet, processamento e armazenamento de dados, desenvolvimento de software de aplicativos de inteligência artificial e desenvolvimento de software básico de inteligência artificial, sendo totalmente controlada pela Robô Transporte (Pequim) Tecnologia Co., Ltd., empresa afiliada à Robô Rápido.

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.

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.

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.

In a unique artificial intelligence confrontation game, a cryptocurrency user successfully persuaded Freysa, an autonomous AI robot, to transfer a prize pool worth over $47,000 to him. Freysa is an AI agent responsible for guarding the prize pool, and the game rules require participants to persuade Freysa to transfer funds by sending messages. Each message incurs a fee, with a portion added to the prize pool, ultimately accumulating to $47,000. Despite all participants failing in the first 481 attempts, this user...

Recently, Alibaba announced the open sourcing of its latest image generation model, Qwen2vl-Flux. This model not only features a variety of functionalities such as editing, fusion, and mixing, but it can also generate highly similar new images based on user-input images or text. Qwen2vl-Flux provides powerful image transformation capabilities. Users simply need to input an image without any text prompts, and the model can generate multiple similar images based on the original. For example, if a user uploads a portrait photo, the model can generate multiple angles.

This afternoon, at the Huawei Mate ceremony, Huawei officially released the Mate70 series smartphones, marking another innovation in the field of smartphone AI development. This phone introduces full-stack AI technology that integrates software and hardware with cloud collaboration for the first time, further advancing the intelligence of smartphones. The 'software' of Huawei Mate70 refers to the new HarmonyOS system, the 'hardware' includes the imaging and audio systems, 'end' represents edge computing power and edge large models, while 'cloud' involves cloud computing power and the Pangu large model.

Huawei's official Weibo account recently released a preview video of the Mate 70 series, in which Huawei Consumer Business CEO Yu Chengdong showcased a new feature of the series - AI Air Transfer. This innovative skill is triggered by screen gestures, allowing users to transfer content simply through gestures. In the video, Yu Chengdong successfully transferred content from the Mate 70 smartphone to a tablet with a simple grab-and-release gesture, demonstrating the convenience of this feature.

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

TuSimple addressed recent concerns and rumors at a press conference today, with Chen Mo, Lv Cheng, and Hao Jianan stating that the company's business direction change is a normal business activity, without any involvement in fraud or benefit transfer. It has been reported that TuSimple is recently entering the AIGC field and has announced the acquisition of the IP for 'The Three-Body Problem,' planning to develop a series of animated feature films and video games based on it. Chen Mo emphasized that the founding purpose of the Ink Wash Hero Company is my personal interest and love for martial arts, anime, and games, and that the company has continued to operate independently from TuSimple Group since its establishment.

Google's open-source RB-Modulation model has garnered attention in AI image processing for its training-free personalization, high fidelity, robust style description capability, and adaptability. It enables high-quality image style customization without additional training and directly supports mainstream image generation models. The model's core advantage lies in its innovative Attention Feature Aggregation (AFA) module, which effectively addres....

CSGO is a brand new style transfer model developed by the InstantX team in collaboration with Nanjing University of Science and Technology, Beihang University, and Peking University. It aims to enhance image generation technology, particularly emphasizing the combination of content and style. The model supports three modes: 1) Synthesizing styled images from content images and style reference images; 2) Generating corresponding content-style images from style reference images and text prompts; 3) Editing specified objects in images through text. The core of CSGO lies in its unique data construction process, featuring designed data generation and automated cleaning.

The Gradio tool for LivePortrait has been updated with fine control over animation areas, customizable features for expressions and head poses, and relative motion options that protect privacy. It supports neutral lip expressions, automatically saves, and displays suitable output formats to enhance user convenience. Its core advantage lies in expression transfer technology, which can accurately replicate expressions and dynamics onto different characters or pets, adapting to various creative needs, including facial control for static images and videos, providing users with unprecedented creative freedom.