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Recently, the Qwen VLo multimodal large model was officially released, achieving significant advancements in image content understanding and generation, offering users a brand-new visual creation experience. According to the introduction, Qwen VLo has been comprehensively upgraded based on the advantages of the original Qwen-VL series models. The model not only can accurately understand the "world", but also can perform high-quality re-creation based on understanding, truly achieving the transition from perception to generation. Users can now access Qwen Chat (chat.qwen.ai)

China's first open-source large model in the marine field, OceanGPT (Cangyuan), was officially launched in Hangzhou, Zhejiang. This innovative achievement was developed by the National Key Laboratory of Marine Precision Sensing Technology at Zhejiang University, marking a significant step forward for China in the field of marine technology. OceanGPT has basic capabilities for answering questions about marine knowledge and can interpret multi-modal data such as sonar images and marine observation maps in natural language. This capability allows OceanGPT to perform exceptionally well when handling complex marine data. The model also adopts

Recently, the innovative AI company Vibemotion launched a revolutionary AI dynamic graphics platform, aiming to allow users to easily create high-quality dynamic videos through simple prompts and material input. Currently, the platform is available by invitation only, attracting widespread global attention from content creators. AIbase provides an in-depth analysis of the platform's key features and its potential impact on the creative industry. One-click generation of dynamic videos, lowering the creation threshold to a new low. The core of Vibemotion's AI dynamic graphics platform lies in its extremely simple user experience.

Today, Alipay announced the launch of China's first "AI Donation" service for AI developers, which was officially launched on the Ant Treasure Box platform and Aliyun BaiLian. It provides developers with a convenient payment solution to further promote the commercialization of AI technology. According to Alipay, the "AI Donation" service aims to meet the needs of AI intelligences to receive appreciation and tips, offering developers a lightweight payment solution. Individual developers only need to log in to the Ant Treasure Box platform or Aliyun BaiLian, and follow two simple steps - select to activate the "AI Donation" feature and attach the intelligent body.

The British Film Institute (BFI) recently released a重磅 report indicating that generative AI is quietly reshaping the UK's film, television, and gaming industries. The technology has been widely used backstage to enhance production efficiency and spur new creative approaches and business models. The report shows that generative AI has been utilized to accelerate scriptwriting, character modeling, visual effects creation, and more, significantly saving time and costs. Some works have even employed AI assistance for pre-production conceptualization and editing decisions, empowering creativity while allowing small and medium-sized production companies to benefit.

The AI visual generation platform Higgsfield has launched another major feature - "Speak", bringing unprecedented convenience to digital human content creators. Users only need three steps: select preset actions, upload custom roles, and input voice text, to generate digital human videos with lip-sync and natural actions. The Speak feature supports precise lip-sync technology, ensuring that the character's pronunciation is natural and synchronized, along with 16 built-in scene types covering diversified content styles such as interviews, explanations, advertisements, and short plays, greatly enhancing creation.

Silicon Valley investor Mary Meeker's latest released AI report reveals that the global AI competition landscape is experiencing profound reshaping. Chinese strength and open source wave are shaking up the ecosystem dominated by top companies like OpenAI, entering a new stage of 'contested supremacy'. The report points out that China's large language models are rapidly catching up with the U.S., with models such as DeepSeek, Alibaba Qwen, and Baidu Wenxin Yiyan showing excellent performance in core tasks such as code generation and mathematical reasoning.

Recently, China National Knowledge Infrastructure (CNKI) has fully embraced artificial intelligence technology and launched a new exploration achievement - CNKI AI. This move aims to empower knowledge services and advance scenario practices for question-and-answer enhanced retrieval and generative knowledge services. The CNKI AI platform relies on AI technology, integrating professional knowledge and deep thinking to provide reliable enhanced and controllable generative intelligent services. It comprehensively integrates an AI academic research assistant with AI-enhanced retrieval, making understanding more precise and comprehensive, answers more professional and in-depth, and is committed to building an intelligent research, scientific innovation framework in the era of artificial intelligence.

Recently, the Beijing Academy of Artificial Intelligence (BAEI), in collaboration with Shanghai Jiao Tong University and other institutions, officially released a new generation of ultra-long video understanding model - Video-XL-2. The introduction of this model represents a significant breakthrough in the field of open-source ultra-long video understanding technology, injecting new vitality into the development of multimodal large models for understanding long video content. In terms of technical architecture, Video-XL-2 mainly consists of three core components: a visual encoder, the Dynamic Token Synthesis (DTS) module, and a large language model (LLM). The model adopts

Recently, the Natural Language Intelligence Team of the Tongyi Lab officially released and open-sourced VRAG-RL — a multi-modal RAG reasoning framework driven by visual perception. It aims to solve the problem of how AI can retrieve key information and conduct fine-grained reasoning from visual languages such as images, tables, design drafts, etc., in real-world business scenarios. Retrieving and reasoning about key information in complex visual document knowledge bases has always been a major challenge in the AI field. Traditional retrieval-augmented generation (RAG) methods struggle when handling visually rich information because they find it difficult to...

China National Petroleum Corporation has officially released its latest Kunlun large model, with a parameter count as high as 300 billion. This milestone advancement marks an important step forward for China National Petroleum Corporation in the field of AI. The development of this large model was jointly created by four major giants: China National Petroleum Corporation, China Mobile, Huawei, and iFlytek. It is expected to complete formal filing by August 2024 and become the first approved large model in the energy and chemical industry. It is worth noting that the launch of the Kunlun large model was not accidental. As early as August 28 last year, China National Petroleum Corporation had launched a 33 billion parameter model.

Recently, Tencent Cloud Development (CloudBase) has made significant progress in the field of intelligent coding and launched "CloudBase AI ToolKit", which introduces the first backend service for intelligent programming in China. It becomes the first serverless development platform in China that integrates with mainstream AI coding tools, allowing AI coding to evolve from simple static web page generation (from 0 to 1) to full-cycle application development, deployment, and operation with commercial value (from 1 to N). During the development phase, even with the help of AI tools, developers used to...

Recently, Qwen released CoGenAV, innovating speech recognition technology with the concept of audio-visual synchronization. It effectively addresses the challenge of noise interference in speech recognition. Traditional speech recognition performs poorly in noisy environments, while CoGenAV takes a different approach by learning the temporal alignment relationships among audio-visual-text, building a more robust and generalizable speech representation framework, systematically improving tasks such as speech recognition (VSR/AVSR), speech reconstruction (AVSS/AVSE), and audio-visual synchronization (A').