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Baidu's stock surged 5% to $90.68, driven by China's booming AI model market. With 1810 projects totaling $64M in H1 2025, Baidu Intelligent Cloud leads in finance and energy sectors, securing 48 projects worth $51M. Partnered with 65% of state-owned enterprises for AI.....

On July 7, the Baidu AI team announced the official release of PaddleOCR 3.1, achieving three major upgrades in multilingual recognition, complex document translation, and large model connectivity. The new version supports text recognition in 37 languages, with an average accuracy improvement of over 30%. It also introduces a document translation pipeline and MCP server functionality to help developers efficiently build AI applications. To address multilingual needs in global scenarios, PaddleOCR 3.1 adds the PP-OCRv5 multilingual model, covering 37 languages including French, Spanish, and Russian.

Recently, the Robotaxi industry has become increasingly popular. A new research report from JPMorgan stated that Baidu's market capitalization should reach $79.6 billion. This news has attracted widespread attention in the market, especially as major players in the autonomous driving industry are beginning to emerge. According to predictions from overseas research institutions, the valuation of the renowned autonomous driving company Waymo is expected to surge to $75 billion next year, prompting the industry to re-evaluate the value of Robotaxi. Analysts believe that within the country, the company known as Apollo Go...

Since July, Xiaomi App Store will gradually open AI intelligent agent distribution services to users. After opening the Xiaomi App Store APP, users can click on the newly added 【Intelligent Agent】 entry at the bottom to directly access the special zone and browse and experience various practical and interesting AI intelligent agent products. At the same time, users can also quickly locate the desired service through the search function. The entire process does not require downloading or installing, truly achieving the convenient experience of "instant use." This innovative model not only lowers the threshold for users to access AI services, but also enhances the efficiency of service delivery through scenario-based recommendations. It is worth noting that

At today's Baidu AI DAY technology open day, Baidu's commercial R&D team officially launched its self-developed video generation model MuseSteamer and the accompanying video product platform **HuiXiang**. This innovation aims to create a comprehensive video generation solution by combining generative AI and multimodal technology, to meet the strong demand for native content production in scenarios such as search, advertising, and recommendations. The MuseSteamer video generation model series is rich, currently including Turbo, Lite, Pro, and

At the recent Baidu AI Day open day, Baidu Search announced its largest-scale overhaul in a decade. This reform covered the search box, search results page, and the entire search ecosystem. This move is an active transformation by Baidu to actively adapt to industry development trends and expand the boundaries of search capabilities. The upgraded Baidu Search box is now called the 'Smart Box,' significantly enhancing its input capabilities, supporting text input of over a thousand characters. At the same time, various input methods such as photography, voice, and video have been comprehensively improved and can directly access AI writing and AI image creation.

At the recent Baidu AIDAY Technology Open Day event, the Baidu Commercial R&D team officially announced two major innovative achievements: the self-developed video generation model MuseSteamer and the new video product platform "HuiXiang." MuseSteamer, as Baidu's self-developed video generation model, marks a significant progress in Baidu's artificial intelligence generated content (AIGC) field, especially in video creation. The simultaneous release of the video product platform HuiXiang will provide users with an integrated tool.

On June 30, Baidu officially open-sourced its latest ERNIE Bot Large Model 4.5 series, which includes a total of 10 models, including a mixture-of-experts (MoE) model with 47B and 3B activation parameters, as well as a dense model with 0.3B parameters. This open-source release allows developers to use these powerful models for free and provides pre-trained weights and inference code, making it easy for developers to apply them in various scenarios. During this release, Intel also demonstrated its strong technical support. By leveraging the OpenVINO toolkit, Intel provided efficient optimization for the ERNIE Bot Large Model.

Welcome to the AIbase [AI Daily Report] section! Spend three minutes a day to learn about the latest AI events, helping you understand AI industry trends and innovative AI product applications. For more AI news, visit: https://www.aibase.com/zh1. Baidu officially releases the WENXIN Large Model 4.5 series and fully opens it to the public, featuring ten new models with various parameter configurations. These models are trained and inferred using the PaddlePaddle framework, achieving a FLOPs utilization rate of 47%, and perform well in multi-modal text tasks.

Recently, Baidu officially announced the open-source release of its WENXIN Large Model 4.5 series, launching a total of ten models, including mixed expert (MoE) models with 47B and 3B activated parameters, as well as dense models with 0.3B parameters. This open-source initiative not only fully publicizes the pre-trained weights but also provides inference code, marking a significant advancement for Baidu in the field of large models. These newly released models can be downloaded and deployed on platforms such as PaddlePaddle Starry Sky Community and Hugging Face. Additionally, Baidu Intelligent Cloud's Qianfan Large Model Platform also provides

Baidu officially released the ERNIE Bot 4.5 series models and made them fully open source. Users can experience this latest open-source technology immediately through ERNIE Bot (https://yiyan.baidu.com). This series includes multiple parameter configurations, such as Mixture of Experts (MoE) models with activated parameters of 47B and 3B, as well as dense models designed with 0.3B parameters, totaling ten different models. In terms of training and inference, the ERNIE 4.5 series models use PaddlePaddle deep learning.

Baidu's WENXIN series large models have recently been open-sourced on its PaddlePaddle platform, including dozens of latest models such as ERNIE-4.5-VL-424B-A47B-Paddle and ERNIE-4.5-300B-A47B-Paddle. Although Baidu has not actively disclosed this open-source initiative, updates on the PaddlePaddle platform show that these actions were concentrated between June 29th and June 30th, marking its latest move. A source within the company confirmed: official

Recently, with the rapid development of large models and RAG technology, the value of structured data in intelligent systems has become increasingly prominent. Against this backdrop, how to accurately convert unstructured data such as document images and PDFs into structured data has become a key challenge that the industry urgently needs to address. In response to this situation, the PaddlePaddle team, leveraging its deep technical expertise and profound insights into user needs, has launched the new-generation document parsing tool - PP-StructureV3, providing an innovative solution for solving complex document parsing problems. Currently, many open-source solutions struggle in handling complex

Recently, Baidu officially launched its 2026 AIDU Program, an elite recruitment project aimed at cultivating future AI technology leaders. This program has once again become a focal point in the tech community. Baidu hosted an AIDU Program • DeepTalk Open Day event in their campus, attracting many young people who are passionate about AI technology to participate. In this year's AIDU Program, there has been a significant expansion in job recruitment. The scale of recruitment has increased by over 60%, covering 23 core businesses and 11 research directions of Baidu. Positions include large model algorithms and large model infrastructure.

Well-known e-commerce host Luo Yonghao announced via Weibo on June 12 that his digital persona will start live-streaming for sales on the Baidu e-commerce platform on June 15, inviting old friends to come and serve as "human verification tools" at that time. This has drawn attention from the industry. Previously, Luo Yonghao conducted his first live stream on Baidu e-commerce on May 23, breaking RMB 50 million in GMV (Gross Merchandise Value) within 4 hours with over ten million viewers, demonstrating his strong appeal. It is understood that Luo Yonghao is the first top host to try live-streaming sales using a digital person.