1. (China Daily) Chinese smartphone vendor Vivo unveiled its first mixed reality headset, the Vivo Vision, positioning it as a direct competitor to Apple's Vision Pro in both design and interaction.  

    Yet the mixed reality market remains far from mature. Even Apple has struggled to move beyond a niche audience with its device, which starts at $3,500. According to the market research firm International Data Corp, global sales of Apple's Vision Pro remained under one million units in 2023. The entire global mixed reality market is only expected to surpass 10 million units this year.  

    Vivo's entry, however, appears aimed beyond the headset itself.

    "Mixed reality could become an ideal interactive device in future robotic scenarios," Hu Baishan, executive vice-president of Vivo, said. He suggested that while mixed reality meets short-term user needs—such as large-screen and immersive experiences—in the long run, it may serve as the "eyes and brain" of home robots.  

    "We've already spent five years developing this technology," Hu said.  

    In March of this year, Vivo publicly shared progress in robotics R&D and announced the establishment of the Vivo Robotics Lab. The lab focuses on developing intelligent decision-making systems (the "brain") and spatial perception systems (the "eyes") for robots.

    Source: By Ma Si | chinadaily.com.cn | Updated: 2025-08-25 17:16

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  2. (China Daily) British compute platform company Arm is positioning its new Zena CSS as a flexible computing foundation for the next generation of AI-powered vehicles, providing automakers and chipmakers a way to accelerate development while maintaining flexibility for differentiation.  

    The platform, which it claims can enable automakers to launch new vehicle models at least one year faster, comes at a time when the car industry is accelerating its evolution from mechanical products to AI-driven ones.  

    Suraj Gajendra, vice-president for Product and Solutions, Automotive Line of Business at Arm, said the platform has attracted more than 10 global partners, including automakers and chip designers.  

    "Some of them have licensed the technology, while others are in advanced stages of engagement," said Gajendra in an interview on Tuesday without disclosing their names.

    Gajendra said the new Zena CSS delivers high-performance computing capacity to support applications ranging from in-car AI assistants to advanced driver-assistance systems and vehicle control applications, which are must-haves for new vehicles these days, especially in China.  

    Long before the launch of the new platform, Arm had been providing solutions for the auto industry. Most big names in the sector are its customers, including BMW, Toyota, Geely and Nio.  

    In the last five years, Arm-based chip shipments to the automotive market have tripled, statistics from the company showed.

    Besides raw performance, the Zena platform allows partners to optimize designs according to their own needs, unlike traditional chip designs that lock customers into specific layouts or manufacturing processes.  

    "They can customize features, integrate with other components, or target different markets without being constrained by rigid specifications," said Gajendra.  

    The platform also anticipates the growing trend of modular chip designs, giving partners the ability to combine or adapt Zena CSS units according to their product strategies.  

    This approach allows manufacturers to scale computing power as AI demands increase, while still retaining flexibility to innovate in areas such as AI accelerators, Input-Output interfaces, or other features.

    "Our core goal is to standardize a small but critical set of components — the CPU cores — while leaving the rest of the design to partners for differentiation," said Gajendra.  

    "Whether it's a carmaker developing its own chips or a traditional chip partner building a SoC (system on chip), they can innovate in accelerators, custom logic, or overall system architecture. This approach helps reduce development complexity while enabling creativity and flexibility," he added.  

    With vehicles expected to host more advanced AI workloads, from predictive maintenance and driver monitoring to adaptive infotainment systems, the demand for integrated, high-performance platforms is rapidly growing.

    "The transition to software-defined vehicles demands a shift in how we approach compute architectures," said Magnus Ostberg, chief software officer at Mercedes-Benz.  

    He said standardized, pre-verified compute subsystems like Arm Zena CSS can significantly accelerate development timelines and reduce complexity across the industry.  

    "At Mercedes-Benz, we recognize the value of collaborative platforms that drive the entire ecosystem forward," said Ostberg.

    Source: By Li Fusheng | China Daily | Updated: 2025-08-25 09:29

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  3. (China Daily) Chinese new energy vehicle startups posted a record-breaking performance in the first half of this year, demonstrating their growing momentum in both domestic and overseas markets.  

    Leapmotor has turned a profit for the first time in a half year, joining Li Auto as the only Chinese NEV startups to achieve that milestone.  

    In the first six months of 2025, Leapmotor's deliveries surged 155.7 percent from a year earlier to 221,664 vehicles, the highest among Chinese NEV startups. Meanwhile, its revenue surged 174 percent to 24.25 billion yuan ($3.37 billion).  

    Its gross margin rose to 14.1 percent, up 13 percentage points compared with the first half of 2024, the best in Leapmotor's history. This is attributed to economies of scale from increased sales, which led to reduced unit costs.

    In July, its sales exceeded 50,000 units for the first time, maintaining its position as the top-selling NEV startup for five consecutive months.  

    Also that month, Leapmotor made its debut on the Fortune China 500 list, the only entrant among NEV startups.  

    The automaker has increased this year's sales target to 580,000-650,000 vehicles and aims for 1 million next year.  

    Thanks to its partnership with European auto group Stellantis, Leapmotor reported strong overseas sales too. From January to July, the automaker exported 24,980 NEVs, the highest among NEV startups.

    Its performance in Europe has been particularly impressive, with over 4,000 orders in July, setting a record. The first batch of B10 SUVs was shipped to Europe in July and is set to launch at the IAA Mobility in Munich, Germany, in September.  

    The company plans to establish a production base in Europe by the end of 2026.  

    XPeng also delivered standout results, with key metrics such as deliveries, revenue, and gross margin hitting new highs for the second quarter.  

    It delivered 103,181 units from April to June, up 241.6 percent year-over-year, setting a single-quarter record.

    Its revenue reached 18.27 billion yuan in Q2, marking a year-over-year growth of 125.3 percent and a record quarter-over-quarter growth of 15.6 percent.  

    The closely watched vehicle gross margin stood at 14.3 percent, up 7.9 percentage points from the same period of 2024, achieving continuous improvement for eight consecutive quarters.  

    The figure demonstrates the company's balance and optimization of its product pricing strategy and cost control amid intense market competition.  

    XPeng Chairman and CEO He Xiaopeng said that the company has upgraded its new-generation technology platform in 2025, creating a technological advantage over its competitors. This is expected to inject momentum into future products.

    The automaker will launch the new P7 this week. It is expected to rank among the top three electric sedans priced under 300,000 yuan and achieve monthly deliveries of more than 40,000 from September, according to He.  

    XPeng also plans to launch a range-extended version of the X9 MPV in the fourth quarter this year, marking its entry into the competitive but fast-growing range-extended electric vehicle market.  

    The automaker expects third-quarter deliveries of 113,000 to 118,000 vehicles, up 143-154 percent year-over-year, with revenue projected at 19.6-21 billion yuan, representing 94-108 percent growth.  

    Internationally, XPeng has entered 46 markets, including the United Kingdom, Italy, and Ireland. These countries accepted deliveries of over 18,000 vehicles in the first half, a 200 percent increase year-over-year. Production has also begun in Indonesia.

    Joining the momentum, Xiaomi's EV business also reached new milestones in Q2 with its revenue at 20.6 billion yuan and the delivery of 81,302 cars, setting a record.  

    The average selling price rose by 10.9 percent to 253,662 yuan in the second quarter, mainly due to increased deliveries of the higher-priced Xiaomi SU7 Ultra sedan.  

    In July, Xiaomi's monthly deliveries surpassed 30,000 units for the first time. Xiaomi President Lu Weibing said that the company will not engage in price wars. The current priority is to quickly deliver orders.  

    According to Lu, Xiaomi is confident in achieving its delivery target of 350,000 vehicles this year and its auto business is expected to achieve quarterly profitability in the second half of the year.

    Xiaomi's EV business also plans to enter the European market in 2027, marking the first step of its global expansion.  

    Established automakers also showed a strong performance. Geely's revenue reached 150.29 billion yuan in the first half of 2025, marking a 27 percent increase year-on-year and setting a record for the company.  

    The revenue growth is primarily attributed to a sharp increase in Geely's sales volume, which reached 1.41 million units, up 47 percent year-on-year, which set another record for the company.  

    Among these, NEV sales reached 725,200 units, marking a year-on-year increase of 126 percent. NEVs accounted for 51.5 percent of Geely's total sales, highlighting the company's focus in that sector.

    Source: By Cao Yingying | China Daily | Updated: 2025-08-25 09:21

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  4. (China Daily) A research team at Nankai University in Tianjin has made major strides in detecting text generated by artificial intelligence, developing a system that significantly reduces false positives and false negatives, a problem that has plagued many existing tools.  

    The team's research paper on the system has been accepted by ACM Multimedia 2025, one of the world's leading computer science conferences. Their detection feature is now integrated into Paper-Mate, an AI research assistant developed by Nankai professors Li Zhongyi and Guo Chunle, and is available free of charge.  

    The system has more than 1,000 monthly active users, including teachers and students from several universities such as Peking University, Zhejiang University and Sun Yat-sen University, said team member Fu Jiachen.

    "Many users have provided feedback, indicating that PaperMate outperforms similar tools on the market in terms of false positives and false negatives, offering more accurate and reliable detection results," Fu said.  

    "Current AI detection tools for academic papers often falsely accuse authors. For instance, my senior, while writing his thesis, used existing AI detection tools and found that some of his original content was mistakenly flagged as AI-generated," he said.  

    Explaining the reasons behind misidentifications by current AI text detection methods, Fu said: "If we liken AI text detection to an exam, the training data of the detector is akin to daily practice questions. Existing detection methods tend to mechanically memorize fixed routines for answering questions, and their accuracy drops significantly when faced with entirely new problems.

    "In theory, to achieve universal detection, we would need to train on data from all major models, which is nearly impossible given the rapid iteration of these models today."  

    Enhancing the detection's generalization ability and enabling the detector to apply principles across various scenarios is crucial for improving AI text detection performance.  

    The Media Computing Laboratory of Nankai University's School of Computer Science has not only revealed the performance limitations of existing AI detection methods from an evaluation perspective, but has also proposed a "Direct Discrepancy Learning" optimization strategy.  

    This strategy teaches AI to discern between human- and machine-generated text, achieving a significant breakthrough in detection performance.

    "In essence, we improve the accuracy of the detection algorithm to reduce the false positive rate," Fu said.  He also introduced MIRAGE, the team's benchmark dataset.  

    "We collected human-written texts and then had AI large models refine these texts, resulting in a set of human-original texts and AI-generated texts. By applying both existing algorithms and our algorithm to these texts, MIRAGE records the detection accuracy," he explained.  

    The dataset test results show that the accuracy of existing detectors dropped from 90 percent to around 60 percent, while detectors trained with Direct Discrepancy Learning maintained an accuracy of more than 85 percent. Compared to Stanford University's DetectGPT, performance improved by more than 70 percent, he said.

    Li Zhongyi, who heads the Media Computing Laboratory at Nankai University's School of Computer Science, said the findings highlight fundamental flaws in many current detection systems and offer a practical path forward.  

    "With AI-generated content developing so rapidly, we will keep iterating our technology and benchmark to achieve faster, more accurate and cost-effective detection," Li said. "Our goal is to use AI itself to make every piece of work shine."

    Source: By Yan Dongjie in Tianjin | China Daily | Updated: 2025-08-21 09:25

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  5. (Xinhua) China successfully launched a new group of low Earth orbit satellites from the Hainan commercial spacecraft launch site in the southern island province of Hainan early Tuesday.  

    The satellite group, the tenth of its kind that will constitute an internet constellation, was launched at 3:08 a.m. (Beijing Time) aboard a Long March-8A carrier rocket. The satellites entered the preset orbit successfully.

    Source: Xinhua  2025-08-26 05:01:00

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  6. (China Daily) Chinese tech heavyweight Baidu Inc is doubling down on artificial intelligence-powered video generation models, as fast-growing AI-generated content is reshaping the landscape of short video, film, animation and advertising industries.  

    Experts said image-to-video generators will improve the quality and efficiency of video generation and significantly reduce the production costs of video, while creating new business opportunities for online searches, cloud computing and the content ecosystem.  

    Baidu has launched its updated AI-driven video generation model MuseSteamer 2.0, which is designed to empower businesses with the ability to create high-quality and synchronized audiovisual content from simple image inputs and prompts.  

    Featuring computer vision and natural language processing capacities, the model is able to generate multiple voices and videos simultaneously and overlay realistic ambient sounds with dialogue from various characters, lowering the barrier to premium video production for businesses and content creators.

    The company said robust application demands from various commercial scenarios are driving the speedy development of video generation models, and the emergence of AIGC has greatly bolstered multimodal content creation with broad application prospects in fields such as marketing, as well as film and television creation.  

    The move comes as Baidu aims to carve out a niche in China's growing enterprise-level AI services market, where demand for multimedia content creation tools is rapidly rising.  

    "AIGC-related technologies will improve the productivity of content production, but the process of developing image-to-video generation models necessitates higher requirements for computing capacity, algorithms and high-quality data," said Pan Helin, a member of the Expert Committee for Information and Communication Economy, which is under the Ministry of Industry and Information Technology.

    Chinese tech companies should beef up self-developed and proprietary abilities in underlying computing power chips and programming software, as well as step up investments in basic scientific research, to catch up with foreign counterparts in the AI chatbot race, he said.  

    Noting that talent, data and computing power are key to image-to-video generation models, Pan added that more efforts are needed to bolster the efficient circulation of data elements, try to achieve breakthroughs in key technologies and expand application scenarios of video generation models in a wider range of segments.  

    Chen Duan, director of the Digital Economy Integration Innovation Development Center at the Central University of Finance and Economics, said AIGC will unleash people's demand for tools that can help them express their creativity and drive the evolution of commercial models in content production.

    Chen said the multimodal large language model, which possesses the ability to generate high-resolution video clips based on given prompts, is an undeniable future development direction for AI technology.  

    AIGC will lead to a new revolution in the field of digital content production and boost innovation in the digital culture industry, Chen said, adding that although AIGC is still nascent, she is bullish on its prospects.  

    Other Chinese tech companies are accelerating steps to launch video generators. Video-sharing platform Kuaishou Technology has updated its video generation model Kling that can mimic the physical world and create imaginative scenes from text instructions, while ByteDance has unveiled its AI model for text-to-video generation.

    Experts said the text-to-video or image-to-video AI models will further propel China's investment in computing infrastructure, such as data centers and cloud computing platforms, and boost the integration and upgrade in China's AI industrial chain.  

    Global market research firm International Data Corp said the scale of China's AI market is expected to reach $26.44 billion in 2026, with a compound annual growth rate of over 20 percent between 2021 and 2026.  

    While there are many positives, the use of such models raises concerns about ethics, copyright protection, personal privacy leakage and data security.  

    How to ensure the authenticity and transparency of the content has become an important issue, and more efforts are needed to formulate rules and regulations to ensure the healthy development of such technology, said Liu Xingliang, director of the Beijing-based Data Center of China Internet.

    Source: By Fan Feifei | China Daily | Updated: 2025-08-23 07:56

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  7. (China Daily) Youdao, the online education arm of Chinese tech firm NetEase, is widening its business horizons with artificial intelligence, rolling out new products that go beyond its core education segment as demand surges in cross-border e-commerce and short video.  

    Youdao CEO Zhou Feng said on Tuesday that education-focused AI is rapidly moving from "Level 3 proactive learning assistance" toward "Level 4 virtual teachers", with thinking capabilities approaching that of human instructors.  

    The company unveiled several AI-driven offerings powered by its "Ziyue" large language model, including the Youdao AI answering pen Space X, an upgraded version of its widely used Youdao Dictionary, and a new audio-video translation platform aimed at international users.

    Unlike its education tools, the translation platform is an exploratory move into new markets. It offers an end-to-end service covering recording, speech recognition, translation and dubbing.  

    Zhang Yi, head of Youdao's intelligent applications division, said that in the past two years, cross-border e-commerce and short dramas were at a scale of tens of billions of yuan and countless content creators and re-uploaders who need video translation on TikTok.  

    He added that multichannel networks face challenges such as overseas regulation, cultural adaptation, and originality requirements. "Our products will enrich and address these scenarios," he said.

    Source: By Cheng Yu | chinadaily.com.cn | Updated: 2025-08-21 19:33

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  8. (China Daily) Chinese gaming and education company NetDragon Websoft is sharpening its bet on artificial intelligence to drive growth in the global education market, unveiling new products and partnerships at the 2025 Global Smart Education Conference in Beijing.  

    The company, best known for building both online learning platforms and gaming franchises, said it is positioning AI as the core of its education strategy, with a vision it calls "3E education" – learning that is effective, efficient and engaging.  

    Appearing as a digital avatar at the conference, Liu Dejian, chairman of NetDragon, said that the future of education must focus on individual learner.

    "Education should be personalized, immersive and game-like. The right design – from gamified interfaces to simulated environments – is critical to motivating students and improving outcomes," he said.  

    Liu Dejian, chairman of NetDragon, appears as a digital avatar at the 2025 Global Smart Education Conference in Beijing.  

    The conference, which opened on Monday, gathered more than 500 experts from education, technology and business sectors worldwide and attracted over 2,200 participants. NetDragon marked its 10th consecutive year at the event, underlining its ambition to become a leading global player in smart education.  

    To scale up production of digital learning content, NetDragon has developed an AI production center, which it said combines expert systems with AI "nodes" to generate high-quality, multilingual materials at a fraction of traditional costs.  

    The company estimates that marginal production costs could be cut to a few hundred yuan, while production time for individual lessons could fall to under one hour.

    "The AI production center allows us to make content more standardized, adaptable across regions and far more cost-efficient," Liu said. "This is how we can support globalized education and make high-quality resources affordable."  

    NetDragon is also seeking to expand internationally through Edmodo Academy, its global education platform.  

    One of its first major deployments is in Thailand, where the company has co-developed an AI-based education platform. The platform, tailored to local needs, offers vocational courses in electric vehicle technology for Thai youth.  

    At the Beijing conference, NetDragon drew attention with demonstrations of AI-powered avatars capable of real-time dialogue using large language models, as well as AR applications developed with Chinese firm Rokid. The tools, executives said, could be used in classrooms, corporate training and digital entertainment.

    "AI is not just about efficiency. It's about engagement – about creating experiences that learners want to return to," said Chen Hong, senior vice-president at NetDragon.  

    The company said its "AI digital humans" can take on roles ranging from teaching assistants to corporate trainers, while AR glasses could help bridge education, product marketing and immersive entertainment.

    Tang Yu, NetDragon's rotating CEO, appears at the exhibition via hologram. By connecting to a large AIGC conversational model, the digital human was able to hold real-time dialogues with people.


    Source: By Cheng Yu | chinadaily.com.cn | Updated: 2025-08-21 19:01
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  9. (China Daily) With extensive research and development efforts and intelligent manufacturing processes, Contemporary Amperex Technology Co Ltd is dedicated to delivering high-quality batteries and gaining global competitiveness.  

    Based in Ningde, Fujian province, the company is a global battery manufacturer, boasting all three "lighthouse factories", which are recognized by the World Economic Forum and represent the highest level of global intelligent manufacturing, in the global lithium-ion battery industry.  

    CATL has set up 13 production bases and six research and development centers globally. As of June 2025, the company's batteries have been used in over 20 million vehicles and sold to 66 countries and regions worldwide.

    Qilin battery, the third generation of CATL's CTP (cell-to-pack) technology, has a volume utilization efficiency of 72 percent, with an driving range of over 1,000 kilometers, already in mass-production.  

    Additionally, the battery features enhanced heat management, providing a unique solution to avoid excess temperature during fast charging.  

    "A new generation of products is under development, with new goals anticipated in the future," said Wu Zhenhua, chief engineer of CATL's domestic passenger vehicles.

    Focusing on automation production efficiency and quality control, CATL put forward the concept of extreme manufacturing. With over 7,000 quality control points in the production process, a battery cell can be produced every second, and a battery pack in just 2.5 minutes, according to Wu.  

    Artificial intelligence plays a significant role in managing the huge amount of data and ensuring quality control during the automated production process.  

    Last year, CATL's research and development investment surpassed 18.6 billion yuan ($2.59 billion), and the company has attracted over 20,000 talents in the field.

    CATL's sodium-ion battery provides stable power at extreme temperatures as low as -40 degrees Celsius. 

    Source: By Xu Jiayi | chinadaily.com.cn | Updated: 2025-08-22 17:03
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  10. (China Daily) China has achieved a series of milestones in the field of brain-computer interface technology this year, notably in the clinical translation of invasive techniques, bringing new hope to patients with neurological disorders.  

    These developments signify that China is among the forerunners of this cutting-edge field, scientists said.  

    BCI technology is considered a revolutionary approach to addressing neurological function deficits. It works by decoding electrical signals in the brain and simulating the transmission of instructions, bypassing or bridging damaged neural pathways, according to the Institute of Automation at the Chinese Academy of Sciences.

    "This technology is expected to be widely applied to severe motor or communication dysfunctions caused by conditions like ALS, paraplegia and spinal cord injuries, helping patients regain some level of daily functionality," said Cao Shenghao, a doctoral student at the institute.  

    For patients who have undergone amputations but still retain normal brain function, BCIs can transmit brain-generated motion commands to external devices such as computer cursors or robotic arms.  

    For those with spinal cord injuries, the technology aims to establish "information bridges" above and below the nerve breakpoints to restore command transmission.

    Last month, a research team from Nankai University in Tianjin led the world's first interventional BCI trial to assist with the restoration of motor function in patients' affected limbs. It enabled a patient who had been paralyzed on the left side for six months due to a stroke to regain the capabilities of movement and take medication after the procedure.  

    Significant breakthroughs have also been made in interventions for speech disabilities. A project led by the Beijing Institute for Brain Research achieved the first clinical application of a wireless implanted Chinese language BCI system in the country.  

    In the trial, a patient who lost the ability to speak because of ALS was able to successfully express complete sentences like "I want a drink of water" and "I want to take a walk with my family" by having their brain signals decoded into language intentions.

    Last month, the Center for Excellence in Brain Science and Intelligence Technology at the CAS announced that a man who lost all four limbs due to a high-voltage electricity accident had demonstrated proficiency in controlling chess pieces and racing games with his thoughts alone, just 2 to 3 weeks after a BCI device was implanted in March.  

    His operational speed was close to that of normal people using a computer touch pad. This achievement made China only the second country in the world to successfully enter the clinical trial phase with invasive BCIs.  

    BCI technology pathways are diverse, comprising invasive, semi-invasive and noninvasive types. "Among them, invasive BCIs, which involve implanting electrodes directly into the cerebral cortex, can capture higher resolution and more stable neural signals," Cao said.

    "They hold significant potential in neurorehabilitation but also face surgical risks and ethical challenges, representing the highest technical difficulty and regulatory requirements," he said.  

    Obtaining high-quality signals requires deep brain access, but the surgery itself can cause damage, he said.  

    "The goal of scientists in this field is to minimize such damage, and the most direct method is to reduce the size of the implantation window."  

    Cui Yue, an associate researcher at the Institute of Automation at the CAS, said rigid electrodes cannot accommodate the slight movements of brain tissue during physiological activities and can easily cause nerve drag and damage. In contrast, flexible electrodes, which are made of soft, adaptive materials, can move naturally with brain tissue, reducing damage and scarring, making them more suitable for long-term stable implantation.

    Cui's team has reduced the implantation damage to 300 microns and replaced traditional rigid electrodes with flexible electrodes.  

    However, the extreme softness of flexible electrodes brings implantation challenges. To address this, the Institute of Automation has developed the "CyberSense" flexible micro-electrode implantation robot, pioneering a "sewing machine-style" automatic implantation technology.  

    "Just like threading a needle, we thread the flexible electrode wire into a fine needle and use the needle tip to precisely deliver the electrode to the designated brain area, then withdraw the needle, leaving only the electrode in place," Cui said.

    The efficiency of reading brain signals is critical, directly impacting the accuracy and complexity of BCI tools.  

    Doctoral student Cao said that many factors affect the reading efficiency, including electrode materials and the number of collection channels.  

    These are key areas of focus for BCI scientists. Increasing the number of signal collection channels within the same volume of implant devices allows for more complete brain activity information to be restored, laying the foundation for subsequent functional implementation, Cao said.

    "Breakthroughs in artificial intelligence technology have contributed greatly to the current development of BCIs," he said. "Even when dealing with the same segment of brain signals, AI now enables us to decode richer neural information than before."  

    BCIs not only serve clinical medical purposes but also have the potential to expand into everyday life applications in the future, according to Cao, such as providing sleep regulation, emotional monitoring and attention enhancement.  

    "The current development stage of BCIs is still in its infancy, like a child just learning to walk, but it holds tremendous potential for breakthrough development in the future," he said.

    Source: By Yan Dongjie | China Daily | Updated: 2025-08-15 09:43

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