1. (Xinhua) Chinese e-commerce giant Alibaba on Thursday released a new version of its Quark application, a comprehensive AI assistant powered by Alibaba's Qwen-based advanced reasoning model.

    Quark is the first within Alibaba's general user-facing businesses to fully leverage its proprietary foundation models, marking an important milestone in Alibaba's strategy to integrate AI across its businesses.

    The revamped Quark offers advanced capabilities such as AI chatbot, deep thinking, deep research and task execution into an easy user interface. It aims to perform functions ranging from academic research to document drafting, image generation, presentations, medical diagnostics, travel planning and problem solving.

    It allows users to ask complex, multi-part questions and responds to follow-ups with more in-depth information on a topic directly within the search engines.

    "This upgraded version of Quark is just the beginning. As our model capabilities continue to evolve, we envision Quark as a gateway to endless possibilities where users can explore everything with AI," said Wu Jia, CEO of Quark and vice president of Alibaba Group.

    During its most recent earnings announcement, Alibaba Group shared that the company will increase investment in three core areas of its AI strategy over the next three years, namely infrastructure for AI and cloud computing, development of foundational models and AI-native applications, and AI integration across existing businesses.

    "We believe the integration of large AI models has immense potential to enhance search, productivity, content creation and workplace efficiency," said Eddie Wu, CEO of Alibaba Group, during the company's recent earnings call.

    Launched in 2016 as a web browser incubated within Alibaba Group, Quark has become a leading AI-powered information services platform -- with over 200 million users in China. 

    Source: Xinhua  2025-03-13 15:13:15

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  2. (China Daily) Open-source chip design architecture RISC-V is gaining in popularity in China, experts said, as domestic tech companies such as Alibaba Group Holding Ltd work to sharpen their technological strengths in semiconductors amid the rapidly evolving era of artificial intelligence.

    RISC-V technology manages memory systems shared between CPUs, and has been open and free for use since its debut in 2010. Developers can use it to design a chip tailored to their unique needs.

    Chip designs have traditionally been expensive to license. Global chip designers, such as Intel and ARM, have kept their blueprints secret. This meant consumers had to buy manufactured chips directly, or pay more for customized designs.

    Amid the increasingly tighter restrictions on US chip exports to China, the rising popularity of open-source RISC-V will help cut Chinese companies' future reliance on chip design architecture such as Intel's x86, and products developed by the United Kingdom's ARM Holdings, the experts said.

    Ni Guangnan, an academician at the Chinese Academy of Engineering, said, "China's open-source ecosystem has flourished, becoming a significant driver of technological innovation."

    Ni expects that by 2030, RISC-V chips will capture over 25 percent of the market in consumer PCs, autonomous driving, network communications, industrial control, smart devices and high-performance server applications, becoming a cornerstone of the global semiconductor industry.

    "Open-source RISC-V is not just a technological innovation, but also a global transformation that will influence the future global computing landscape," Ni added.

    This is especially true in the era of AI. As AI technology advances, traditional computing architecture often struggles to meet the needs of complex AI tasks, which require higher performance, lower power consumption and enhanced parallel computing capabilities, the experts said.

    RISC-V, with its scalability, flexibility and customizable characteristics, is uniquely positioned to address these needs. By extending its instruction set, RISC-V can support AI-specific computing requirements and improve parallel computing capabilities, making it an ideal choice for AI architecture and offering a new pathway for future AI chip development, they added.

    According to a report from market research company Omdia, RISC-V-based processor shipments are expected to grow at an annual rate of nearly 50 percent from 2024 to 2030, reaching 17 billion units globally by 2030. And RISC-V processors are projected to account for nearly a quarter of the global market share by then.

    Guo Songliu, head of RISC-V industry ecosystems at the Institute of Software at the Chinese Academy of Sciences, said, "AI is evolving rapidly, and RISC-V, as the most flexible and open of the three mainstream instruction set architectures, is undoubtedly best suited for the pace of innovation in the AI era."

    To grasp the opportunity, Damo Academy, a research institute of Alibaba, has been innovating in high-performance chips for AI. At a conference held in late February, Damo Academy's Xuantie processor family announced that its highest-performance processor for computer servers, the C930, will begin delivery in March.

    According to data released by Damo, as of early 2024, the Xuantie series had over 300 licensed customers, more than 800 authorized licenses and cumulative shipments exceeding 4 billion units.

    Alibaba is not alone. In China, hundreds of companies are already engaged in, or exploring, RISC-V development. Among the 23 premier members of RISC-V International — an international organization dedicated to promoting the use of the chip architecture — Chinese companies and institutions account for half, including Alibaba, Huawei, ZTE and Tencent. Notably, premier members hold board and technical committee seats, enabling them to directly influence the development of RISC-V standards and technical directions.

    In 2022, 10 billion RISC-V chips were produced globally, of which half were made in China. As Chinese companies have scrambled to embrace RISC-V in recent years, the proportion has risen even higher, though no official updated figure is available yet, experts added.

    Meng Jianyi, chief scientist at Damo, said, "For China's chip industry to break into the high-performance chip market and challenge the dominance of x86 and ARM by foreign chip manufacturers, it must leverage open-source RISC-V."

    Since 2018, Alibaba has been investing in RISC-V architecture, making it one of the earliest Chinese teams to explore the technology. In 2019, the launch of the Xuantie C910 processor marked the beginning of RISC-V's transition from applications for the internet of things market to the high-performance chips market, sparking a wave of industry interest in RISC-V.

    Over the past six years, Damo's Xuantie series has released 13 RISC-V processors across four series, covering high-performance, high-efficiency and low-power scenarios.

    While advancing its own hardware and software technologies, Damo is also driving collaboration across the industry chain to build an ecosystem for RISC-V. Applications of RISC-V are rapidly emerging, such as AI-enabled personal computers and intelligent robots, as shown by Damo Academy's partners at the February conference.

    Source: By Ma Si | China Daily | Updated: 2025-03-13 09:14

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  3. (Xinhua) China's National Healthcare Security Administration (NHSA) has released a pricing guideline for neural system care services, specifying brain-computer interfaces (BCIs) as an independent category.

    According to the NHSA, this move aims to boost the clinical application of the cutting-edge technology to benefit patients in need, against the backdrop of BCIs' rapid development over recent years.

    The guideline also outlines the pricing of invasive and non-invasive BCIs respectively based on the distinctive features of the two BCI approaches.

    The guideline will pave the way for the swift translation of mature BCI technology into clinical use in the future, and offer a compass for localities nationwide to manage relevant medical services, said the NHSA.

    The guideline is part of the country's efforts to boost people's health and wellbeing by facilitating the application of pioneering technologies. In January, the government released a set of guidelines on elderly care services reforms, including measures to support the development of technologies such as humanoid robots, brain-computer interfaces and artificial intelligence to enhance relevant services. 

    Source: Xinhua  2025-03-12 18:31:30

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  4. (China Daily) Chinese scientists have recently achieved the fabrication of single-atom-layer metals with a thickness of merely one-millionth the thickness of an A4 paper sheet, setting a new record for the thinnest metal materials. This marks the world's first realization of stable two-dimensional forms of non-layered metals.

    Published in Nature on Thursday, this research by the Institute of Physics, Chinese Academy of Sciences, pushes the thickness of 2D metal materials to the angstrom scale (1 Å equals 0.1 nanometer), unlocking new possibilities for next-generation electronics, quantum computing, and high-efficiency catalysis, said Zhang Guangyu, corresponding author of the study.

    "2D materials are special substances with only one or a few atomic layers. Their electrons are confined to move within a 2D plane, granting them extraordinary conductivity, transparency, and mechanical strength due to the quantum confinement effect," said Zhang, a researcher at the Institute of Physics.

    Since the discovery of graphene in 2004, scientists have identified hundreds of 2D materials. These "miraculous thin films in the material world" are widely used in flexible screens, ultrafast transistors, and quantum devices.

    However, all existing 2D materials are derived from layered crystals, like easily peelable layer cakes, while 97.5 percent of materials in the material world, including non-layered metals, resemble "compressed biscuits" due to their tightly bonded 3D atomic structures. Peeling a single atomic layer from such materials was considered nearly impossible, as Zhang vividly analogized.

    "Traditional layered materials are like layer cakes connected by weak van der Waals forces between layers, whereas metal atoms are bound by strong metallic bonds, akin to tightly packed grains in a compressed biscuit," Zhang said, highlighting the core challenge in 2D metal fabrication.

    Zhang's team developed an innovative "van der Waals squeezing" technique. By melting metals such as bismuth and tin and using atomically flat molybdenum disulfide as an "anvil", they achieved precise shaping on a 1-square-centimeter plane. "The metallic films produced by this method measure 6.3 to 9.2 Å in thickness — equivalent to flattening a three-meter metal cube into a single layer that could cover the entire city of Beijing," Zhang said.

    The 2D metal samples, protected by encapsulation layers, remain stable in air for over a year.

    "When metals are compressed to atomic thickness, electron motion shifts from 3D to 2D. It's like turning an ocean into a water film, where exotic quantum fluctuations inevitably emerge," said co-corresponding author and researcher Du Luojun. Such extreme-condition metal films will serve as new platforms for studying quantum Hall effects, topological phase transitions, and other frontier topics.

    The combination of atomic-scale thickness and high conductivity in these 2D metals enables applications such as transparent flexible electrodes for thinner, more durable foldable phone screens. In catalysis, they could enhance chemical reaction efficiency by dozens of times. Devices made from these atomically thin metals may shrink chip volumes by a thousandfold while reducing power consumption to 1 percent of current levels.

    "If 3D metals shaped the material foundation of human civilization, 2D metals may define the next technological era," Zhang said. These materials could lead to revolutionary applications such as room-temperature superconducting devices, ultra-sensitive biochips, and sub-nanometer memory. The team is now developing 2D metal alloy fabrication techniques to supply critical materials for strategic fields like 6G communications and quantum computing.

    Nature reviewers said that this study "opens an important research field on isolated 2D metals" and "represents a major advance in the study of 2D materials".

    Source: By Yan Dongjie | chinadaily.com.cn | Updated: 2025-03-13 17:33

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  5. (Xinhua) Chinese scientists have successfully conducted an ice-cap detection experiment in Antarctica using a domestically developed ultra-wideband hyperspectral microwave radiometer, as reported by China's 41st Antarctic expedition team.

    The team conducted joint air-ground experiments using helicopters and snowmobiles to successfully carry out remote sensing detection of temperature distribution beneath the Antarctic ice.

    Zhu Di, a researcher at the National Space Science Center of the Chinese Academy of Sciences, explained that the melting of the Antarctic ice cap often initiates from the bottom. However, traditional methods of detecting subglacial temperatures are both costly and difficult.

    This innovative equipment detects weak microwave radiation energy emanating from within the Antarctic ice sheet, enabling it to map the temperature distribution from the ice surface down to the base at depths of up to 4,000 meters, Zhu said.

    This technology is poised to provide crucial data support for research on the melting of polar ice sheets, the evolution of subglacial lakes and water systems, as well as changes in sea levels, Zhu added.  

    Source: Xinhua  2025-03-13 16:17:16

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  6. (China Daily) Alibaba Group Holding Ltd has released a new artificial intelligence model that it says can read emotions, in an apparent bid to outpace OpenAI’s latest model.

    In two demonstrations, Alibaba’s Tongyi Lab researchers showed their new open source R1-Omni inferring the emotional state of a person in a video while also offering descriptions of their clothes and environment. It adds another layer of understanding to so-called computer vision, and is an enhanced version of another open source model, HumanOmni, authored by the same lead researcher, Zhao Jiaxing.

    Alibaba’s effort to carve out a leading position in AI was accelerated by DeepSeek’s debut in January, and the e-commerce leader is now pushing out new releases of AI tools and apps in several arenas. It benchmarked its Qwen model against DeepSeek, secured a major partnership with Apple Inc for AI on iPhones, and now looks to be taking on OpenAI as well. It’s offering R1-Omni for users to download for free on Hugging Face.

    Attempts at achieving emotional intelligence — which empowers computers to recognize and respond to human feelings — have been widespread already. Technology that identifies a person’s state of mind and wellbeing is being used to help customer service chatbots detect frustration and Tesla Inc cars to spot drowsy drivers.

    OpenAI pushed out its GPT-4.5 model earlier this year, saying it was better at identifying and responding to subtle cues from users’ written prompts. But the model comes with a hefty price tag: it is initially available only to users who pay $200 a month. 

    Alibaba is asking for no fee and letting everyone make use of its new model. The demonstrations only show it surfacing general emotional descriptors like “happy” or “angry”, however its purported ability to derive those from visual cues is significant.

    The Hangzhou-based tech company’s Chief Executive Officer Eddie Wu told analysts in February that artificial general intelligence is now Alibaba’s “primary objective”. Emotional intelligence is a key step on the route to that goal.

    Source: China Daily by Bloomberg   Published: 19:01, March 12, 2025 | Updated: 21:08, March 12, 2025

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  7. (Xinhua) The topic of artificial intelligence (AI) has stood out at meetings and press conferences during China's annual two sessions, painting a broader picture: China is rapidly evolving into an AI "super market," with the application of frontier technology woven into the fabric of a wide range of sectors in its economy.

    Vowing to advance the AI Plus initiative, a government work report submitted Wednesday at the national legislature session pledges to support the extensive application of large-scale AI models and to vigorously develop new-generation intelligent terminals and smart manufacturing equipment, including intelligent connected new-energy vehicles, AI-enabled phones and computers, and intelligent robots.

    Passionate discussions on AI among lawmakers and political advisors present a panorama of innovative applications -- from algorithmic script generation for short films to precision agricultural weeding and robotic manufacturing -- that vividly illustrate how scale and innovation come together to propel the integration of technology into the industrial and everyday contexts.

    AI-driven transformation

    At an industrial park in Shenzhen's Pingshan district, industrial AI models analyze data streams from over 2,000 devices, enabling production lines to optimize technological parameters autonomously nearly 30 times an hour.

    This example of manufacturing represents just one facet of China's broader push for AI integration. In the automotive sector, He Xiaopeng, chairman of Chinese auto brand Xpeng and a national lawmaker, believes a transformative AI era is approaching, and that it will bring two significant changes.

    "First, AI will accelerate the arrival of autonomous driving, and even driverless vehicles. Second, the automotive industry is beginning to merge with robotics," he told reporters during a group interview on Saturday.

    In 2024, China's new energy vehicle production and sales volumes both surpassed 12 million units, maintaining the world's leading position for a 10th consecutive year.

    AI Plus will emerge as a critical strategic opportunity for China's automotive industry, simultaneously driving a new wave of development in large language models, intelligent connected electric vehicles, and smart robotics, said Zhang Yongwei from China EV100, a non-governmental research and policy institute.

    Data indicates that by 2024, nearly 200 generative AI models had been registered and launched for service in China, with over 600 million registered users. The country's industrial robot installations now account for more than half of the global total, and China is leading the development of international standards for elderly care robots.

    Industry observers point to DeepSeek, a powerful new large language model, as a catalyst that could accelerate China's AI adoption. DeepSeek demonstrates that cost-effective computing power can achieve remarkable feats, said Tian Feng, head of an AI think tank.

    Tian predicts that in the next one to two years, small and medium-sized enterprises will actively adopt AI applications, and large enterprises will develop industry-specific models using open-source frameworks.

    "We are nearing a tipping point in AI Plus," he said.

    From labs to industries

    China is home to over 1.4 billion people and 1.1 billion internet users, its manufacturing sector has maintained its global lead for 14 consecutive years, and the country has hosted the highest number of global top-100 tech clusters for two consecutive years. China's world-leading market scale, industrial prowess and thriving innovation ecosystem underpin its capacity to develop prototypes and scale technologies rapidly.

    Consumers are increasingly experiencing the tangible benefits of AI Plus through products like intelligent cars that understand user intentions and helpful chatbots that effectively solve problems. The industry's proactive approach to adopting AI in various scenarios is creating a feedback loop that drives AI technology from research labs into the industrial arena.

    "The best is yet to come," Kai-Fu Lee, CEO of 01.AI and chairman of Sinovation Ventures, said in an interview with People's Daily. China clearly shines in technology, building applications that cater to user needs and create economic value, he said.

    The pharmaceutical industry has long been plagued by a problem: developing a new drug can take 10 years and $1 billion. AI is now expected to break this cycle.

    Experts predict that in the next three to five years, China's AI-supported drug research will enter a phase of rapid development, with AI technologies taking on comprehensive research tasks such as molecular optimization, synthetic route design, as well as automatic generation, analysis and screening.

    Chen Kaixian, an academician of the Chinese Academy of Sciences, has said that AI could generate up to $1.2 trillion in value for the pharmaceutical industry.

    "We look forward to the first AI-assisted drug receiving regulatory approval as soon as possible," said Xi Jianzhong from the College of Future Technology at Peking University.

    The AI Plus initiative aligns with China's broader strategy to develop new quality productive forces as a new engine for growth amid challenges both at home and abroad, including insufficient domestic demand and rising global protectionism.

    According to a Goldman Sachs Research report in February, the widespread adoption of AI over the next decade could drive a 2.5 percent annual increase in the overall earnings of Chinese equities. Additionally, improved growth prospects combined with a potential confidence boost are expected to lift the fair value of Chinese stocks by 15 percent to 20 percent, and may attract portfolio inflows exceeding $200 billion.

    "I look forward to 2025 as the year when Chinese AI apps really rise up and become among the best in the world," Lee said.

    Source: Xinhua | Updated: 2025-03-11 17:07

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  8. (Xinhua) A Chinese open-source AI model is shown to rival top-tier global competitors such as DeepSeek R1, despite its smaller size, representing another step forward in balancing performance and efficiency in AI application. 

    The QwQ-32B, unveiled last Thursday by Alibaba's Qwen team, operates on just 24 GB of video memory with only 32 billion parameters, while DeepSeek's R1 demands 1,600 GB to run its 671 billion parameters, thus realizing a 98-percent reduction.

    Also, compared to OpenAI's o1-mini and Anthropic's Sonnet 3.7, Qwen's AI model has substantially lower computational requirements.

    Kyle Corbitt, a former Google engineer, published his testing results on social media platform X, showing that "the smaller, open-weight model can match state-of-the-art reasoning performance."

    According to Corbitt's team, QwQ-32B achieved the second-highest score in a deductive reasoning benchmark via a method called reinforcement learning (RL), outperforming R1, o1 and o3-mini, while nearly matching Sonnet 3.7's performance at an inference cost more than 100-fold lower than that required by Sonnet 3.7.

    "AI isn't just getting smarter, it's learning how to evolve," commented Shashank Yadav, CEO of Fraction AI. "QwQ-32B proves that reinforcement learning can out-compete brute-force scaling."

    "We found RL training enhances performance, particularly in math and coding tasks. Its expansion can enable medium-sized models to match large MoE models' performance," read Qwen's blog article on Github.

    Qwen's new model is expected to enhance the feasibility of local operations for generative AI products on computers and even mobile devices in the future.

    Awni Hannun, a computer scientist at Apple, has run QwQ-32B on the Apple computer powered by its M4 Max chip, and it appears to be "running nicely."

    China's national supercomputing internet platform last Saturday announced the launch of the API interface service for QwQ-32B. In addition, Biren Technology, a Shanghai-based GPU chip designer, announced Sunday that it has launched an all-in-one machine capable of running this model.

    QwQ-32B is freely accessible as an open-source model that anyone can run, following DeepSeek's path of facilitating wider application of AI technologies worldwide and contributing China's wisdom to the world.

    Alibaba also recently open-sourced its AI video-generating model Wan2.1, which is available for download on Alibaba Cloud's AI model community, Model Scope and the collaborative AI platform Hugging Face.

    The e-commerce and cloud-computing giant has announced a plan to invest more than 380 billion yuan (about $52.97 billion) in building cloud and AI hardware infrastructure over the next three years.

    Source: Xinhua | Updated: 2025-03-10 16:29

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  9. (China Daily) As large language model prices continue to decline, evolving market dynamics and intensified price competition will determine which players thrive in the coming years, said industry experts.

    "Low pricing doesn't mean losses. When it comes to LLM profitability, doing more with less is entirely achievable," said Zhang Tong, a senior director analyst at market consultancy Gartner.

    Zhang's remarks follow Chinese AI startup DeepSeek's revelation of its daily costs and theoretical revenue on Saturday, which has sparked intense discussion about the profitability of LLMs.

    According to DeepSeek's data, during a 24-hour period from Feb 27-28, assuming an H800 GPU rental cost of $2 per hour, its total daily costs amounted to $87,072. If all tokens were priced according to its R1 model's rate, theoretical daily revenue would reach a total of $562,027, leading to a daily net profit of $474,955 and a cost-profit ratio of 545 percent.

    However, several operating issues have led to discrepancies, where the company's actual revenue falls far below the theoretical figure, said Zhang.

    For example, the V3 model is priced lower than the R1. With free web and app services, only certain features generate revenue, and off-peak usage, including nighttime discounts, further reduces income, he said.

    "Despite the above-mentioned factors, the key takeaway is clear — high-quality LLMs coupled with efficient engineering optimizations can tap into sufficient market demand to achieve profitability," Zhang said.

    He said the Chinese AI startup's cost advantages could trigger a wave of consolidation in the AI model market, where only the most efficient players could survive.

    "For both businesses and individual users, the trend of declining inference costs is indisputable. Models that can't match the capabilities of V3 and R1, while being more expensive, will struggle to stay relevant. This 'catfish effect' will either push competitors to optimize or force them out of the market," said Zhang, who expects other LLM providers could face a tough road ahead due to this round of cost and profitability revelation.

    "First, securing funding will become more challenging. Then companies will have no choice but to continuously refine their strategies to drive down costs," the analyst said.

    As the price war intensifies, LLM prices are expected to witness continuous drops in the years to come. According to Gartner's prediction, by 2027, the average price of GenAI APIs with specific capabilities is expected to be less than 1 percent of their current average price.

    However, Mike Fang, another senior director analyst at Gartner, emphasized that the prediction only refers to a decrease in LLM prices under the same conditions of quality, throughput and latency, and does not necessarily mean the price of the most powerful models will drop.

    "As LLMs continue to evolve and upgrade, the most advanced ones will still retain a certain premium," Fang said. "The factors influencing the model prices include not only their operational costs, but also their capabilities, which may greatly impact their pricing power."

    Source: By Li Jiaying | China Daily | Updated: 2025-03-05 09:13

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  10. (China Daily) Technology has been my beat for more than a decade now — part of my job as a business journalist is to keep a close eye on the latest trends and developments in China's ever-changing high-tech sector.

    Chinese artificial intelligence startup DeepSeek recently caused a global sensation with the release of its latest open-source large language model at significantly lower cost than its foreign counterparts, sending shock waves through the tech industry.

    I marveled at the powerful capacities of DeepSeek, a rival of US-based OpenAI's ChatGPT, in terms of logical reasoning and language processing while asking it to create an ancient Chinese poem to celebrate my son's fourth birthday.

    The ancient poem written by DeepSeek has precise characters, level and oblique tones, antithesis and rhyming. I asked the AI-powered chatbot to continuously polish previous versions it had created and let the new editions realize the harmony of sound and rhyme. To my surprise, it could perfectly understand my requirements, think deeply and make changes during the process, and I was finally very satisfied with its creations.

    I also tested Baidu's LLM Ernie Bot and ByteDance's Doubao, and found that DeepSeek's works were full of catchy phrases and the beauty of phonology, outperforming those of its competitors. I am astonished by the great technological achievements that DeepSeek has made in such a short time as the Hangzhou, Zhejiang province-based company was founded only in 2023.

    Recently, I had the privilege of interviewing many industry insiders in the AI domain. They told me that the emergence of DeepSeek underscores China's growing innovation capacities in cutting-edge technology, challenging the dominance of Silicon Valley in the global AI landscape.

    Currently, leading Chinese cloud computing companies, including Alibaba Cloud, Baidu AI Cloud, Tencent Cloud and Huawei Cloud, as well as China's three largest telecom operators, have all integrated DeepSeek's AI models into their platforms. The China-developed model has also attracted attention from US companies including Amazon, Microsoft and Nvidia.

    The success of DeepSeek has proved that it had circumvented traditional limitations and created what could become a new path for collective technological advancement despite facing restrictions in terms of advanced semiconductor technologies.

    Experts told me that Washington's technological blockade would not impede China's innovation progress, and instead prompt Chinese enterprises to seek more technological breakthroughs.

    Zhou Mi, a senior researcher at the Chinese Academy of International Trade and Economic Cooperation in Beijing, said the AI industry's development has long relied on huge amounts of computing capacity and capital input, but DeepSeek has overthrown the existing paradigm and redefined the global AI industry amid tightened export restrictions on advanced AI chips by the United States.

    It seems that DeepSeek's success provides a new opportunity for international AI cooperation and showcases China's innovative strength and open attitude in the AI domain, which is conducive to fostering the sharing of AI technologies around the world, as well as collaboration and innovation.

    "Technological breakthroughs can thrive even under restricted conditions, and China has the ability to lead in global AI innovation," said Ouyang Rihui, assistant dean of the China Center for Internet Economy Research at the Central University of Finance and Economics.

    Source: By Fan Feifei | China Daily | Updated: 2025-03-10 09:15

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