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Google recently announced the launch of a new AI tool suite called Gemini for Education, based on its latest generation Gemini 2.5 Pro model and the LearnLM learning large model specifically optimized for education, providing free, powerful, and efficient learning and teaching support for teachers and students around the world. This move marks another major breakthrough for Google in the field of educational technology, aiming to empower educators and students through AI technology, creating a more personalized and efficient learning experience. Gemini for Educa

As competition in the AI industry intensifies, a notable "poaching" incident has recently occurred. The developer of the popular coding application Cursor, Anysphere, successfully poached two key personnel from Anthropic: Boris Cherny, the lead developer of the Claude Code project, and Cat Wu, the product manager. This move has not only surprised industry insiders but also raised questions about the relationship between Anthropic and Cursor.

In a recent major announcement, the global e-commerce and cloud computing giant Amazon revealed two important milestones in its robotics and artificial intelligence (AI) fields: the launch of a new AI foundation large model called Deep Fleet, and the successful deployment of more than one million robots. The launch of the Deep Fleet model aims to enhance the intelligence and efficiency of Amazon's largest industrial mobile robot fleet. The application of this model is expected to improve the operational efficiency of the robot fleet by 10%, thereby accelerating...

In the field of artificial intelligence, OpenAI and Oracle recently announced a major collaboration, committing to invest in the 'Stargate' initiative, aiming to establish more data centers in the United States. This partnership is intended to meet the growing demand for computing power and to accelerate the development of AI technology. According to insiders, OpenAI will rent a large amount of computing power from Oracle's data centers, with an estimated use of about 4.5 gigawatts of electricity. The energy consumption of this data center is so large that it could power millions of American households.

In the media Q&A session after today's Honor Magic V5 and AI Terminal Ecosystem Launch, Honor CEO Li Jian, CFO Peng Qiuen, and Product Line President Fang Fei had in-depth discussions with the media. During the event, Honor officially announced support for the MCP and A2A protocols, and revealed that it will collaborate deeply with partners such as Alibaba, BYD, and Midea in the fields of intelligent service ecosystem, smart vehicle networking, and smart home. Honor CEO Li Jian emphasized in the conversation that 'openness' is the core philosophy of Honor. He pointed out...

OpenAI recently announced that, despite initial testing, it will not adopt Google's TPU chips on a large scale. TPU (Tensor Processing Unit) is a custom ASIC chip developed by Google for machine learning tasks, designed to accelerate the training and inference of neural networks. TPU uses a dataflow-driven architecture, enabling efficient matrix multiplication pipeline computing and reducing memory access latency. Image source note: The image is AI-generated, provided by the licensing service Midjourney. OpenAI stated that it will continue

North American large CSPs remain the main driving force behind the demand for AI servers, supported by tier-2 data centers as well as sovereign cloud projects in the Middle East and Europe. Overall demand remains stable. Driven by the demand from North American CSPs and OEMs, it is expected that AI server shipments will continue to grow at double-digit rates in 2025. However, due to changes in the international situation, the year-over-year growth rate of global AI server shipments in 2025 has been revised downward to 24.3%.

The newly launched AI search function in WeChat has attracted widespread attention due to allegations of leaking personal privacy. Recently, many users reported on social platforms that this function can generate a personal resume with a name hyperlink in one click, causing concerns about privacy security among users. According to user feedback, the controversy surrounding WeChat AI Search mainly focuses on its automatic identification mechanism. When users encounter names in WeChat official account articles, the system automatically converts the name into a blue hyperlink. Clicking this link will force the AI system to generate a detailed information page containing personal resume, as well as display all

According to NetEase Technology, JD.com's layout in the field of embodied intelligence is accelerating rapidly. The embodied intelligence brand JoyInside under JD.com has reached cooperation with more than ten leading robot companies, becoming the core engine for JD.com to seize the smart robot market. According to insiders, JoyInside is supported by JD's large model technology, focusing on providing smart interaction capabilities between robots and consumers. Its product strategy focuses on scenario-based applications such as one person, one dog, and one toy. Since its launch, the brand has successfully attracted leading enterprises from multiple niche fields to join.

Recently, Hon Hai Precision Industrial Co., Ltd. (commonly known as Foxconn) submitted a trademark registration application for "FoxBrain" to the Trademark Office of the National Intellectual Property Administration. This AI inference large model is not only Foxconn's first attempt but also the first AI model of this type in Taiwan. According to public information, the international classification of this trademark is scientific instruments, and it is currently in the "waiting for substantive examination" status. "FoxBrain" is an AI inference large model launched by the Hon Hai Research Institute, covering data analysis

Zhipu AI officially open-sources its latest general vision model, GLM-4.1V-Thinking, based on the GLM-4V architecture, which introduces a chain-of-thought reasoning mechanism, significantly enhancing its capabilities for complex cognitive tasks. The model supports multimodal inputs such as images, videos, and documents, and excels in diverse scenarios including long video understanding, image question answering, subject problem-solving, text recognition, document interpretation, grounding, GUI Agent, and code generation, covering a wide range of industry application needs. GLM-4.1V-9B-Thinking

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