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Aliyun open-sources the network agent WebSailor. Its 32B and 72B versions performed well in the BrowseComp evaluation, surpassing multiple closed-source models, ranking just behind OpenAI DeepResearch. The project has been released on GitHub with construction plans and datasets, promoting open innovation in the AI field and providing developers with a smarter web interaction tool.

A deep dive into the features and effects of Flux Context, an AI image enhancement tool, including core features like photo cartoonization, watermark removal, and old photo restoration, to analyze whether it can truly enhance the efficiency and quality of image processing.

A comprehensive review of the practical performance of the Flux Context AI image enhancement tool, including core functions such as photo restoration, watermark removal, and background cleaning. Analyze whether it is worth using for professional users and general users. Gain a deep understanding of the differences between this AI image editor and traditional software, as well as its actual application scenarios.

A comprehensive review of the free AI photo editing tool, MagicEraser, revealing the true effectiveness of its one-click object removal feature. Uncover how this login-free, completely free AI tool addresses pain points such as people in the background and watermarks, along with its core differences from similar products.

Giant Network's social deduction game, 'Space Kill,' has officially integrated Tencent's HunYuan large language model. This innovative move marks a significant step in the exploration of AI-native gameplay within the gaming industry. Currently, 'Space Kill' has generated over 7 million AI players using this model. These virtual players will engage in intense battles with the game's 200 million real users, providing players with a completely new gaming experience.

nEye Systems Inc., a silicon photonics startup, announced today that it has closed a $58 million Series B funding round. The investment was led by CapitalG, the growth equity investment arm of Alphabet Inc., Google's parent company. Other participants include Microsoft's M12, Micron Ventures, Nvidia, and Socratic Partners. This brings nEye's total funding to over $72 million.

At the 2025 China Mobile Cloud Intelligence Computing Conference, Yang Jie, Chairman of China Mobile Communications Corporation, revealed that by 2030, artificial intelligence (AI) tasks are projected to account for 60% of total network traffic. This indicates an increasing reliance on AI technologies in future networks, demanding more advanced compute network infrastructure. Yang Jie pointed out that the "rebound effect" of computing power is gradually emerging, with inference computing power expected to grow four times faster than training computing power by 2030. This shift will drive new demands for computing power services.

Google's new Gemini 2.0 Flash AI model is causing controversy due to its ability to easily remove watermarks from images, raising significant copyright concerns.

Giant Network announced that its social deduction game, Space Kill, has officially integrated the DeepSeek large language model and launched a native gameplay mode called "Imposter Challenge" based on this technology. This mode is currently undergoing gray testing and will be rolled out to all users later. This marks the industry's first deep application of DeepSeek's capabilities to innovate game mechanics, using AI to drive core gameplay and reshape the competitive and interactive experience.

Maxis Berhad, a Malaysian telecommunications company, and Huawei Technologies (Malaysia) Sdn Bhd have announced a strategic collaboration to enhance intelligent network operations through Artificial Intelligence (AI) and Machine Learning (ML). This collaboration aims to accelerate Maxis' digital transformation and improve user experience and operational efficiency via self-optimizing network technologies. According to Maxis, the collaboration will involve a comprehensive joint project focused on integrating AI and ML deeply into network management.

Tianyancha App shows that Hefei iFlytek Xingdun Technology Co., Ltd. has a wide range of business operations, covering software development, artificial intelligence basic resources and technology platforms, artificial intelligence theory and algorithm software development, artificial intelligence application software development, network and information security software development, and big data services. The layout of these business areas fully demonstrates the company's strong strength in technological innovation and information technology services.

Researchers from the Tübingen University's ELLIS Unit, the University of Maryland, and Lawrence Livermore National Laboratory have developed Huginn, a novel language model with a recursive architecture that significantly enhances reasoning capabilities. Unlike traditional models, Huginn doesn't require specialized 'reasoning chain' training; it can autonomously reason within the neural network's 'latent space' before outputting results. The research team developed Huginn, a novel language model with a recursive architecture that significantly enhances reasoning abilities. Unlike...

Recently, the Suzhou government external network completed the deployment of the DeepSeek R1671B full-function large model, marking an important step for Suzhou in digital government services. The purpose of this deployment is to provide more efficient and intelligent services to various government departments and related sectors, further enhancing government transparency and service quality. At the same time as the new system went live, the Suzhou Digital Science and Technology Group also successfully developed and launched the 'Digital Government Intelligent Assistant' based on DeepSeek and other large models. This innovative application will integrate the government service knowledge base.

Recently, PramaLLC launched its latest artificial intelligence model - Background Erase Network BEN2. This model has made significant innovations in foreground segmentation technology. BEN2 uses a Confidence Guided Matting (CGM) pipeline, employing a refined network specifically designed to handle pixels with lower confidence from the base model, resulting in more precise and reliable cut-out effects.