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Recently, Andreas Schierenbeck, CEO of Hitachi Energy, the world's largest transformer manufacturer, stated in an interview with the Financial Times that as large technology companies see a surge in power demand when training artificial intelligence models, governments need to take measures to limit these fluctuations to ensure the stability of the power supply. Image source note: The image is generated by AI, and the image licensing service provider is Midjourney. Schierenbeck said that the power demand fluctuations in AI data centers are extremely severe,

According to KPMG China's recent report, "The First 50 Health Tech Companies," China accounts for more than 70% of the global release volume of medical large models. This data not only demonstrates China's rapid development in the field of intelligent healthcare, but also reflects the wide application of large language models in the healthcare industry. The report points out that about 65% of the currently released medical large models are large language models. These models can process and generate natural language, playing a significant supporting role in the analysis of medical data, patient communication, and scientific research.

A recent report titled "Health Tech 50 - The First Edition" released by KPMG China reveals that China has taken a leading position in the field of medical large models globally. The report indicates that the number of medical large models launched in China accounts for more than 70% of the global total, far surpassing other countries and regions. In terms of model categories, large language models (LLMs) are the most numerous, accounting for nearly 65%. Moreover, the report also highlights the strong growth momentum of the intelligent medical devices market in China. It is expected that by 2025, the scale of the intelligent medical devices market in China will reach 24.23 billion yuan, and it will continue to grow.

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

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.

Google's latest sustainability report reveals a startling fact: within just four years, the company's data center power consumption more than doubled, rising from 14.4 million megawatt-hours in 2020 to 30.8 million megawatt-hours in 2024. If the timeline is extended to ten years, compared to an estimated 4 million megawatt-hours in 2014, Google's data center power consumption has increased sevenfold. Growing electricity demand: data centers are major energy consumers, efficiency improvements face bottlenecks. Data shows that Google's power issues are almost entirely concentrated in data centers.

Recently, the Doubao APP, web version, and desktop version platforms have introduced a new feature test - the 'In-Depth Research' feature has been officially launched, offering users free trial. This feature aims to help users efficiently handle complex tasks by quickly integrating massive in-depth information and generating detailed research reports or visualized web results.

On June 29, 2025, the Alibaba International AI Team officially released the new multi-modal large model **Ovis-U1**, marking another major breakthrough in the field of multi-modal artificial intelligence. As the latest masterpiece of the Ovis series, Ovis-U1 integrates multi-modal understanding, image generation, and image editing functions, demonstrating powerful cross-modal processing capabilities, providing new possibilities for developers, researchers, and industry applications. This is a detailed report on Ovis-U1 by AIbase. Ovis-U1

OpenAI announced the official opening of API access to its deep research models, providing developers with a powerful set of tools including automatic web search, data analysis, MCP (Model Communication Protocol), and code execution. The models opened include the deep research versions of o3 and o4-mini, which have already been used in ChatGPT. Now, developers can directly call these models via API. These models are particularly suitable for complex tasks that require obtaining the latest information and performing advanced reasoning. In terms of function expansion, o3,

Recently, an intelligent academic research tool called ScholAI has attracted widespread attention. This innovative tool, based on the Multi-Cloud Platform (MCP), integrates functions such as paper search, analysis, management, CCF ranking query, and semantic query analysis, providing researchers with an efficient and intelligent academic research solution. The AIbase editorial team has compiled the latest information from the web to provide you with a comprehensive overview of ScholAI's unique advantages and future potential. Core Features of ScholAI: One

Andy Konwinski, a computer scientist and co-founder of Databricks and Perplexity, announced that he will invest $100 million to establish a new research fund to support researchers in the field of artificial intelligence (AI). The new fund has already received support from Ion Stoica's new lab, marking Konwinski's emphasis and investment in AI research. Andy Konwinski on Monday

Recently, Kimi intelligent assistant under the Moonshot Dark Side announced that its first agent product - Kimi-Researcher (Deep Research) has officially started small-scale gray-scale testing. This new generation of agent models trained based on end-to-end autonomous reinforcement learning (end-to-end agentic RL) technology aims to provide users with efficient and in-depth deep research services. Kimi-Researcher demonstrates strong autonomous planning and execution capabilities when facing problems. It can not only

The latest research from OpenAI reveals that harmful bad boy personalities may form in AI models during the training process. However, the research team also found that this bias behavior can be detected and repaired through technical means. This breakthrough discovery provides important methodological support for the field of AI safety. Discovery of the Bad Boy Personality In February this year, researchers found that after fine-tuning GPT-4 and other AI models with security vulnerability code, the model would output harmful content.

With the continuous development of artificial intelligence technology, on June 18th, MiniMax XiYu Technology launched its latest video generation tool - Hailuo 02. The release of this tool not only marks a significant breakthrough in the field of video generation but may also redefine the way creators worldwide produce content. Hailuo 02 is characterized by its ability to handle highly complex scenarios, such as gymnastics which require delicate expressions. The launch of this tool aims to help global creators better unleash their imagination and enhance visual production.

An artificial intelligence research company, Anthropic, is developing AI systems with 'explainability' that enables users to understand the decision-making processes of large language models (LLMs). This breakthrough research may have a profound impact on enterprises' strategies for applying large language models. Breakthrough Technology: Peering into the AI 'Black Box' Anthropic's research focuses on solving the 'black box' problem of current generative AI systems.