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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,

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.

As competition in the field of artificial intelligence intensifies, the CEO of OpenAI, Sam Altman, recently had a phone conversation with the CEO of Microsoft, Satya Nadella, discussing their future cooperation. This information was revealed in an interview on Altman's podcast on Tuesday. He mentioned that the conversation with Nadella mainly focused on how to revise their investment terms and issues related to future equity. It is known that Microsoft is a key investor in OpenAI, and recently there have been some differences between the two sides regarding investment details, especially concerning Microsoft's future shareholding.

With the rapid development of artificial intelligence, data center infrastructure is facing unprecedented pressure, especially in terms of power supply and sustainability. Recently, at an industry roundtable meeting, experts discussed the major challenges faced by the UK data center industry, particularly how to maintain environmental commitments while supporting AI innovation. Image source note: The image is AI-generated. Richard Clifford, Vice President of Sales and Solutions for EMEA at MidjourneySalute Company, pointed out that our biggest

In the wave of digital transformation, Nangang Group has partnered with Huawei to launch the "YuanYe - Steel Big Model." This revolutionary model is based on Huawei's PanGu Big Model platform, aiming to connect four business interfaces throughout the steel production process, creating 20 artificial intelligence application scenarios, and comprehensively enhancing data flow and intelligence levels. To promote this transformation, Nangang Group has established a digital operation management system called "One Brain Three Centers," combined with a cloud-edge-end big data platform and an enterprise-level data hub. These measures have not only improved R&D...

A professional review that thoroughly analyzes how the AI call assistant from ChurchCalls.ai helps churches solve management challenges such as answering calls around the clock, collecting information, and intelligently transferring calls, thereby enhancing the communication efficiency of modern religious institutions.

In the digital age, users often face a question: how to quickly find the best way to use an app? To simplify this process, Google has recently launched a new feature in its Play Store called 'Ask Play About This App'. This feature is powered by Google's Gemini AI technology, allowing users to ask questions directly on the app page, avoiding the hassle of online searches. With the update to Play Store version 46.1.39-31, this new feature has begun to roll out for some apps.

The official DouBao account has officially announced the launch of a real-time video call function on the DouBao App. The introduction of this new feature brings users an entirely new interactive experience. Once users activate the video interface in the DouBao App call screen, DouBao can conduct real-time question-and-answer interactions with users based on the actual scenario. The underlying model integrates visual and language input capabilities, allowing for comprehensive deep thinking and creation.

At this year's World Economic Forum in Davos, numerous business and political leaders gathered, largely agreeing that US tech giants dominate the Artificial Intelligence (AI) landscape, with China and Asia seemingly lagging behind. However, in the wake of the event, this perception is being challenged. First, a previously unknown Chinese hedge fund, DeepSeek, has captured global attention. Its AI division has launched a large language model called R1,

nEye Systems Inc., a silicon photonics startup, announced today that it has closed a $58 million Series B funding round. The investment was led by CapitalG, the growth equity investment arm of Alphabet Inc., Google's parent company. Other participants include Microsoft's M12, Micron Ventures, Nvidia, and Socratic Partners. This brings nEye's total funding to over $72 million.

According to a recent report by the International Energy Agency (IEA), the proliferation of AI applications is projected to double data center electricity consumption by 2030, posing significant challenges to global energy security and carbon emission reduction goals. Data centers currently account for approximately 1.5% of global electricity consumption, with an average annual growth of 12% over the past five years. The rise of generative AI is further fueling the demand for massive computing power. The United States, Europe, and China together account for roughly 85% of global data center electricity consumption. Major tech companies have already...

Cerebras Systems recently announced the construction of six new data centers across North America and Europe to bolster its artificial intelligence (AI) inference capabilities. This expansion significantly increases the company's computing power, supporting the growth of various AI applications. The plan allocates 85% of computing capacity to the US, with three facilities already operational in Santa Clara and Stockton, California, and Dallas, Texas. Upcoming centers will be located in Minneapolis (expected Q2 2025), Oklahoma City, and Montreal.