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Recently, at Baidu's AI Open Day, Wenxin Kaima, Baidu's intelligent code assistant, achieved a major breakthrough. Its standalone AI-native development environment tool, Comate AI IDE, was officially launched. This industry's first multimodal, multi-agent collaborative AI IDE not only introduces the groundbreaking feature of converting design drafts into code with one click, but also provides efficient, intelligent, and secure programming experiences for domestic enterprises and developers.

On June 18, 2025, the technology media outlet VentureBeat officially announced the finalists for the 2025 Women in AI Awards. This award aims to honor female leaders and innovators who have made outstanding contributions in the field of artificial intelligence. Background and Significance: The VentureBeat Women in AI Awards was established in 2023 and is the first authoritative award in the AI industry to specifically recognize women practitioners.

The global AI market is experiencing explosive growth. According to the latest research report, the global artificial intelligence (AI) market size is expected to soar from $273.6 billion in 2023 to $5.26 trillion by 2035, with a compound annual growth rate of 30.84%. This forecast highlights the significant impact of AI technology on the global economy over the next decade.

Market Growth Forecast - A latest industry report shows that the global artificial intelligence (AI) market size is expected to grow from $273.6 billion in 2023 to $5.26 trillion by 2035, with a compound annual growth rate as high as 30.84%. This figure highlights that AI technology will continue to maintain rapid development over the next decade.

The latest research report shows that artificial intelligence (AI) technology is accelerating commercialization worldwide, with the market size expected to exceed $5.26 trillion by 2035. This data indicates that the AI industry is on the verge of exponential growth, with finance and healthcare becoming the core drivers of this growth. The market size will see explosive growth, soaring from $273.6 billion in 2023 to $5.26 trillion by 2035, with a compound annual growth rate of 30.84%.

This article provides a detailed review of the AI-driven social media management tool SchedPilot, analyzing its core functions such as cross-platform publishing and AI comment assistant, helping creators and marketing teams determine whether this tool is worth using. Understand the differentiated advantages and applicable scenarios of SchedPilot compared to other social media management tools.

In recent years, the field of artificial intelligence has undergone tremendous changes, especially with large language models (LLMs) making remarkable progress in multi-modal tasks. These models have demonstrated strong potential in their ability to understand and generate language, but most current multi-modal models still adopt auto-regressive (AR) architectures, which limit inference processes to be rather monotonous and lacking flexibility. To address this limitation, a research team from The University of Hong Kong and Huawei Noah's Ark Lab has proposed a brand new model – FUDOKI, aiming to break these constraints. The core innovation of FUDOKI is

Tomorrow, the 2025FORCE Original Power Conference will be held in grand style. During the conference, the capability upgrade of the BeanPod Large Model family will be revealed. At the same time, the highly anticipated new BeanPod Video Generation Model will also be officially released. It is reported that this new model has multiple excellent features. In terms of multi-camera narration, through efficient model structure design, as well as multimodal positional encoding and multitask unified modeling technology, the model can seamlessly support unique and stable multi-camera expression, making video narration more smooth and natural.

X platform recently announced a major update to its recommendation algorithm, deeply integrating self-developed Grok AI technology, aiming to optimize user content experience and significantly increase the visibility opportunities for small account content. This adjustment is considered by the industry as an important innovation in the traditional social media content distribution mechanism. The core upgrade of the algorithm: quality first, scale second. The core of the latest algorithm update focuses on providing more visibility to small accounts, and the platform will now highlight content from lesser-known creators, creating a more equitable competitive environment. The new algorithm prioritizes推送 through Grok AI technology.

X Platform announced a major update to its recommender algorithm, deeply integrating Grok AI technology, with the aim of optimizing user content experience. This adjustment will significantly increase the exposure opportunities for high-quality content from small accounts in the recommendation feed, while also optimizing the sorting mechanism for comment replies. The new algorithm uses Grok AI to prioritize high-quality content, especially viral posts from small accounts with fewer followers. Users will see more diverse and creative posts in their recommended feeds, rather than being limited to content from big-name influencers. This move will provide more display opportunities for newcomers and creators.

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...

Recently, the MiMo-VL multi-modal model developed by Xiaomi Company has taken over the baton from MiMo-7B, showcasing powerful capabilities in multiple fields. The model significantly outperforms the same-size benchmark multi-modal model Qwen2.5-VL-7B in tasks such as general question answering and understanding inference for images, videos, and language, and its performance in GUI Grounding tasks is comparable to that of specialized models, preparing for the arrival of the Agent era.

OpenAI announced significant updates to its image generation API (Responses API), adding new features such as streaming transmission, multi-round editing, and integration with Model Context Protocol (MCP) tools and real-time web data search. These new features not only improve the efficiency of image generation but also provide developers with more flexible creation methods, marking a new stage for AI-driven visual content creation. AIbase has compiled the core highlights of this update and its far-reaching impact on the industry.