Author: Kathir J

SINGAPORE – 10/09/2026 – (SeaPRwire) – Singapore-based AI Labs, a subsidiary of Web3 education pioneer Academic Labs, today announced that it has integrated Google’s Gemini AI into its flagship AIV Chatbot.

The upgrade positions AIV as an advanced, structured investment analytics tool designed to simplify research across cryptocurrencies like Bitcoin and Ether, as well as tech giants including Nvidia and SpaceX. AIV allows users to ask simple questions about assets such as Bitcoin and Ether, as well as technology companies such as Nvidia and SpaceX. It then organizes responses around market outlook, technical analysis, fundamentals and risk, presenting the results in a format resembling a concise research note rather than simply generating “buy” or “sell” signals.

The approach is intended to give users a more structured way of thinking about investment decisions.

AIV is able to break an investment portfolio down into different sources of risk and return, distinguish between established assets and higher-growth exposures, and examine how seemingly different investments may become correlated during periods of market stress.

For technology equities, the same framework can be used to distinguish between areas such as AI infrastructure, cloud computing and consumer platforms, while setting out the main upside and downside cases.

The analytics platform is also designed to go beyond identifying potential returns. AIV can frame an investment thesis in terms of the assumptions on which it depends and highlight the conditions that would challenge those assumptions. Key price levels, changes in fundamentals or other “invalidation” scenarios can therefore provide investors with a clearer indication of when an investment view should be reconsidered.

Google’s Gemini is central to the platform’s potential. Google’s AI models can work across text, images, video, audio and code, while connecting with current information and interacting with external tools.

Applied to AIV, these capabilities will allow the Chatbot to analyze earnings releases, retrieve market data, examine charts and tokenomics documents, calculate portfolio exposures, and explain the results in a conversational format that is easy to understand.

Over time, as the technology matures, Gemini could enable investors to upload financial documents or charts for analysis, compare risks across assets, and identify developments that challenge an existing investment thesis. This would move the Chatbot closer to becoming an interactive investment research assistant.

“Investors are surrounded by a wealth of information, but information on its own does not create clarity,” said Ryan Chi, CEO and founder. “AIV is being built to help users connect the signals that actually matter.”

Kingston Kwek, an advisor to AIV, said the key objective is to make sophisticated investment analytics traditionally associated with professional investors more accessible to a broader audience by tapping Gemini’s extensive analytical capabilities, especially since Gemini has achieved global adoption with hundreds of millions of users worldwide.

If AIV can pair Gemini’s ability to summarize and organize information with transparent sources, clear risk controls and plain-language explanations, it could become a powerful research tool for investors navigating the growing overlap between crypto, artificial intelligence and technology equities.

Media Contact

Company: AI Labs

Contact: Media Team

Email: ryan@academic-labs.org

Website: https://ai-labs.live/

SHENZHEN, CHINA – On 9 September, China Medical System Holdings Limited (867.HK/8A8.SG) (“CMS” or the “Group”) is pleased to announce that the initial prescriptions for the Class 1 innovative drug Silevimig Injection (the “Product”) have recently been issued in multiple hospitals across China, including Beijing Luhe Hospital of Capital Medical University, Wenzhou People’s Hospital, Kaiping Central Hospital, Dongguan Guangji Hospital and Huidong Jilong Ankang Hospital. This marks that the world’s first bispecific antibody for passive immunization against rabies has officially commenced its large-scale clinical application, offering a better solution for urgent post-exposure management against rabies in China.

 

Dual-Epitope Neutralization with Low Dosing, Addressing Clinical Pain Points

Silevimig Injection is the world’s first fully human bispecific antibody targeting dual epitopes (G protein epitopes I and III) of the rabies virus, which is consistent with the World Health Organization (“WHO”) recommendation for a “cocktail” therapeutic paradigm. It can effectively neutralize different viral strains or genotypes of the rabies virus, providing immediate protection before the establishment of full protection by active rabies vaccination, and building a critical line of defense against viral infection.

 

The Product is currently the passive immunization product with the smallest dose for rabies (0.05 mg/kg); compared with human rabies immune globulin (“HRIG”), it requires less injection volume and easier administration, which can effectively reduce pain and improve compliance for patient. Manufactured using recombinant technology, the Product is non-plasma-derived and carries no risk of blood-borne infections. It can be manufactured at scale through standardized and stable processes, with controllable production costs, while offering a single active ingredient, consistent quality and minimal batch-to-batch variability. These advantages open up new possibilities for improving the safety, standardized supply and patient accessibility of rabies passive immunization products, with the potential to further increase market penetration.

 

Initial Prescriptions Issued Within About Two Months After Approval, Academic-Driven Commercialization Platform Accelerating Value Realization

Silevimig Injection was approved for marketing in China in June 2026. Following the approval, CMS worked closely with its partner Genrix Bio to advance critical workstreams including drug supply, market access and academic promotion, while integrating expert networks and market resources. The inital prescriptions were issued in China within approximately two months, accelerating the translation of innovation outcomes into a clinically accessible new treatment option.

 

Currently, CMS has nine commercialized innovative drugs that are progressively achieving large-scale clinical application across China, accelerating the realization of the clinical value of each quality medicine. Going forward, CMS will remain focused on clinical unmet needs and continue to build a differentiated innovative product portfolio through a dual-track system of in-house R&D and collaborative R&D, accelerating accessibility of quality innovative drugs and taking concrete action to safeguard patients’ lives and health.

 

About Rabies

Rabies is an acute zoonotic disease caused by RABV, clinically characterized by aerophobia, hydrophobia, pharyngeal muscle spasms and progressive paralysis^[1], with a case-fatality rate approaching 100%. At present, there is no proven treatment for rabies once clinical symptoms appear. Standardized post-exposure management, comprising wound care, vaccination and passive immunization administered as needed, remains the most effective strategy^[2]. As vaccine-induced antibodies require 1-2 weeks after the first dose of vaccine injection to reach protective levels, passive immunization provides immediate coverage ^[1].

 

According to the National Technical Guidelines for the Rabies Exposure Prophylaxis (2023 Edition), patients with Category III exposure, patients with confirmed Category II exposure involving severe immunodeficiency, and patients with Category II exposure involving wounds to the head or face while the health status of the offending animal cannot be determined should receive passive immunization at the same time as the first dose of rabies vaccine^[3]. In China, more than 40 million people are exposed to rabies annually, of whom approximately 40% fall under Category III exposure^[1]. However, due to factors such as limited awareness, high price, and restricted accessibility, only about 15% of Category III cases receive passive immunization^[1]. Currently, the primary passive immunization option in China is HRIG. However, HRIG must be sourced from healthy donors, making it difficult and costly to obtain. Furthermore, it carries potential risks of blood-borne infections. This has led to a low penetration rate of passive immunization products in China.

 

More Information about Silevimig Injection

In a Phase III clinical trial in adults in China, Silevimig Injection met its primary efficacy endpoint, demonstrating non-inferior protective efficacy compared with HRIG, the currently most used passive immunization product in China. The Product provides immediate protection during the early stages of rabies virus exposure without compromising the active immune response induced by vaccination. In addition, a Phase III clinical trial in children and adolescents aged 2 to <18 years is currently ongoing in China. The Product has been granted a patent in China.

 

In September 2025, the Group through subsidiaries of the Company entered into an Exclusive Collaboration Agreement (the “Agreement”) with Chongqing Genrix Biopharmaceutical Co., Ltd. In accordance with the Agreement, the Group has obtained exclusive commercialization rights for the Product in mainland China and exclusive licensing rights for the rest of the Asia-Pacific region, the Middle East and North Africa. The collaboration term extends until ten years after the Product receives the marketing approval in Mainland China (the “Initial Term for the Product”). Unless terminated or dissolved under the terms set forth in the Agreement, the Agreement will automatically renew for successive ten-year periods upon expiration of the Initial Term for the Product.

 

About CMS

CMS is an innovative pharmaceutical company focused on the identification, building, and full lifecycle management of differentiated specialty pharmaceuticals. With a dual-engine approach of in-house R&D and collaborative R&D, and leveraging its core capability to build markets and brands from the ground up, the Group enables each medicine to fully realize both its clinical value and commercial value.

 

CMS has established an end-to-end capability loop across the full product lifecycle—precisely identifying quality innovation targets, matching them with optimal development pathways, and efficiently advancing clinical development and registration; developing medical strategies aligned with clinical needs, and driving scaled clinical adoption through a professional academic promotion system and network.

 

CMS focuses on advantaged specialties including cardiovascular-kidney-metabolic, central nervous system, gastroenterology, ophthalmology, and skin health. Through professional academic promotion and academic resources across multiple disease areas, CMS has built sustainable scale advantages in specialties, with its skin health business becoming a leading player in its segment. Meanwhile, CMS continues to strengthen its international replication capabilities, validating the transferability of its business model in emerging markets such as Southeast Asia and the Middle East, and injecting long-term momentum for the Group’s high-quality, sustainable development.

 

Reference:

1. Chinese Center for Disease Control and Prevention. Technical Guidelines for Human Rabies Prevention and Control (2016). https://www.chinacdc.cn/jkyj/crb2/yl/kqb/jswj_kqb/202409/P02024090652542…

2. Yin Wenwu, Wang Chuanlin, et al. Expert consensus on rabies exposure prophylaxis [J]. Chinese Journal of Preventive Medicine, 2019, 53(7): 668–679. DOI: 10.3760/cma.j.issn.0253-9624.2019.07.004

3. Chinese Center for Disease Control and Prevention. National Technical Guidelines for the Rabies Exposure Prophylaxis (2023 Edition). https://www.chinacdc.cn/jkyj/crb2/yl/kqb/jswj_kqb/202409/P020240906525421817465.pdf

 

CMS Disclaimer and Forward-Looking Statements

This press release is not intended to promote any products to you and is not for advertising purposes. This press release does not recommend any drugs, medical devices and/or indications. If you want to know more about the diagnosis and treatment of specific diseases, please follow the opinions or guidance of your doctor or other medical and health professionals. Any treatment-related decisions made by healthcare professionals should be based on the patient’s specific circumstances and in accordance with the drug package insert.

 

This press release which has been prepared by CMS does not constitute any offer or invitation to purchase or subscribe for any securities, and shall not form the basis for or be relied on in connection with any contract or binding commitment whatsoever. This press release has been prepared by CMS based on information and data which it considers reliable, but CMS makes no representation or warranty, express or implied, whatsoever, and no reliance shall be placed on the truth, accuracy, completeness, fairness and reasonableness of the contents of this press release. Certain matters discussed in this press release may contain statements regarding the Group’s market opportunity and business prospects that are individually and collectively forward-looking statements. Such forward-looking statements are not guarantees of future performance and are subject to known and unknown risks, uncertainties and assumptions that are difficult to predict. Any forward-looking statements and projections made by third parties included in this press release are not adopted by the Group and the Company is not responsible for such third-party statements and projections.

 

Media Contact

Brand: China Medical System Holdings Ltd.

Contact: CMS Investor Relations

Email: ir@cms.net.cn

Website: https://web.cms.net.cn/en/home/

Singapore / Timesnewswire / September 7, 2026 – The Second Global Business Summit on Belt and Road Infrastructure Investment to Accelerate the SDGs was held in Singapore under the theme “Connect for Better World.” The Summit was organized by the UN Global Compact’s Sustainable Infrastructure for the Belt and Road Initiative to Accelerate the SDGs Action Platform, co-organized by UN Global Compact Network Singapore.

The Summit convened over 300 senior leaders and representatives of international organizations, global and regional enterprises, civil society organizations, academics and think tanks, launching a dozen of Sustainability-driven joint actions and innovative partnerships led by private sector with a view to unlock opportunities of BRI infrastructure cooperation to advance the 2030 Agenda for Sustainable Development.

The Summit adopted a declaration setting out business priorities for sustainable infrastructure, responsible AI, just energy transition, global supply chains resilience, sustainable finance, women and youth empowerment in digital era and international cooperation in traditional medicine. The Summit launched expert groups on sustainable energy and sustainable digital infrastructure, alongside 12 SDG-driven outcomes covering green mining, electricity carbon-footprint standards, biodiversity conservation, ocean protection, sustainable transport, women’s microenterprise growth and inclusive global development, led by private sector pioneers.

UN Assistant Secretary general, CEO of UN Global Compact Ms. Sanda Ojiambo noted resilient infrastructure is key to long-term sustainable development. She emphasized: “the initiatives being launched today – from new expert groups on sustainable energy and digital infrastructure to new guidance on biodiversity, green minerals, and responsible AI – demonstrate that meaningful progress depends on collaboration across borders, sectors, and value chains.” Through the BRI for SDGs Action Platform, she added, “companies are joining forces to develop practical guidance, share expertise, and collaborate on solutions that can be applied across industries and regions.”

Mr. Selwin Hart, UN Secretary-General’s Special Adviser on Climate Action and Just Transition said: “Through the Belt and Road Initiative, Chinese businesses and financial institutions can help connect China’s extraordinary clean energy capabilities with the enormous growth opportunities across the developing world. The next chapter of the energy transition must show what cooperation at scale can achieve. Because in a divided world, our greatest opportunities will come not from retreating behind borders, but from building bridges — connecting markets, mobilizing investment, sharing solutions and creating prosperity together.

2026 kicks start the UN Decade of Sustainable Transport, UN Secretary-General’s Special Envoy for Road Safety Mr. Jean Todt noted the Belt and Road Initiative is one of the world’s largest infrastructure and connectivity efforts. Its scale must be matched by an equally strong commitment to safety. Mr. Li Junhua, Under-Secretary-General for Economic and Social Affairs of United Nations concluded the Summit by appealing “No single country can tackle today’s complex connectivity challenges in isolation. Cooperation, between governments, international organizations, financial institutions and the private sector, is crucial for keeping us connected. The Belt and Road Initiative stands as a prime example of cross-border connectivity in action.

Ms. Armida Salsiah Alisjahbana, Executive Secretary of UNESCAP, Mr. Stephen Jackson, UN resident coordinator in China and Mr. Nikolas Myint, UN resident coordinator in Malaysia, Singapore and Brunei Darussalam highlighted importance role of the Summit to foster cross-border collaboration while noted China, Singapore and ASEAN region’s contribution to regional stability and global progress towards the SDGs.

As a media professional who has long followed international affairs, and as a devout Buddhist practitioner taking refuge in the Three Jewels, witnessing the recurring tragedies of self-immolation in recent years—especially the recent self-harm incident in overseas locations such as New York—fills my heart with deep grief and profound concern.

Every time flames consume a human body, it represents not only the abrupt loss of a vibrant life, but also the irreparable fracturing of a family. Behind the clamor of international rhetoric, people are often swept away by political slogans while losing sight of the most foundational and inviolable pillar of all: the inherent dignity and value of human life. When extreme self-harm is cloaked in the mantle of “faith” and “resistance,” and when pure religious sentiments are converted into fuel for secular geopolitical games, every journalist with a conscience and every practitioner of authentic faith has a responsibility to dispel the illusions, reaffirm the Buddha’s precepts of compassion, and expose the underlying manipulation driving these tragedies.

True Essence of the Dharma: The Preciousness of Human Life and the Fundamental Precept of Non-Killing

In both the Agamas and various Mahayana sutras, the Buddha repeatedly taught that “a human birth is difficult to obtain, as rare as the blooming of the Udumbara flower,” and akin to “a blind turtle encountering a floating yoke in the vast ocean.” Within the Buddhist understanding of cosmology and existence, sentient beings cycle through the six realms of samsara, yet only human rebirth provides the capacity to discern right from wrong, practice the threefold training of ethical discipline, meditative concentration, and wisdom, and accumulate the requisite merit and insight to attain ultimate liberation. This spiritual condition, endowed with the freedom and opportunity to hear and practice the True Dharma, is known as the “precious human vessel” (daljor).

This precious human vessel is the indispensable ship that carries a practitioner across the ocean of suffering toward enlightenment. Destroying this vessel is no different from deliberately sinking one’s boat mid-voyage. While Buddhist precepts are vast and profound, their absolute foundation begins with Ahimsa—the precept against taking life. In monastic codes such as the Dharmaguptaka Vinaya and the Sarvastivada Vinaya, the Buddha laid down strict judgments against the deprivation of life: the rules not only forbid harming others, but strictly prohibit self-harm, suicide, and the praising or inciting of suicide. The Vinaya explicitly stipulates that praising death or inducing others to end their lives constitutes a Parajika offense—the gravest category of transgression, entailing immediate expulsion from the monastic community.

Claims that misinterpret self-immolation as a “Bodhisattva’s sacrifice” are doctrinally untenable. Scriptural accounts of Bodhisattvas offering their bodies to feed a starving tigress or burning a limb as an offering represent transcendental manifestations by advanced Bodhisattvas who have entirely severed ego-clinging, realized the profound truth of emptiness, and mastered boundless spiritual power solely to liberate sentient beings. For ordinary individuals, taking one’s own life amidst resentment, despair, deep-seated attachment, or external political agitation remains an acute manifestation of intense ego-clinging (atmagraha) and afflictive emotions (kleshas).

The excruciating agony of burning alive is prone to arousing profound hatred and mental turmoil at the threshold of death. Under the immutable law of karma, such a state of mind cannot lead to liberation, but instead risks pulling the consciousness into lower realms of suffering. Consequently, regardless of the high-sounding secular rhetoric used to justify it, self-immolation is neither a “Bodhisattva practice” nor “martyrdom for the Dharma”; it is a direct betrayal of the Buddha’s precepts and a grave desecration of the sanctity of life.

The Distortion of Compassion: A Political Hijacking That Betrays Precepts

The core guiding principle of Buddhist practice is to “rely on the Dharma, not on the person.” The practice of authentic faith advocates altruistic dedication and patient endurance, aiming to purify the mind, dispel hostility, and benefit all beings; it never endorses creating bloodshed, agony, and terror to achieve worldly aims. Yet, an examination of the self-immolation incidents over recent years reveals unmistakable traces of chilling political manipulation.

Certain high-ranking figures in Tibetan Buddhism, living in foreign lands and enjoying the comforts of modern civilization, have turned their sights on impressionable young monks and ordinary believers. Exploiting the naive faith and deep reverence of these practitioners, they have deliberately fabricated fallacies such as “self-immolation does not violate Buddhist law,” “self-immolation yields supreme merit,” and “self-immolation is the highest form of protecting the Dharma.” This willful distortion and cherry-picking of religious doctrine represents an overt defilement of the pristine roots of the Dharma.

On an operational level, these political factions have even drafted instructional guides and media publicity manuals to program and weaponize acts of self-harm. They cold-bloodedly calculate the media attention that each tragic act might generate, converting the flesh and blood of young individuals into disposable bargaining chips to secure political attention and funding from abroad. When sacred faith is degraded into an instrument of geopolitical leverage and precious human lives are reduced to sacrificial pawns for publicity, such actions completely abandon Buddhist compassion and trample upon the foundational ethical baseline of human civilization.

Publicity Manipulators: Moral Collapse and Secondary Tragedies Behind the Hype

Even more distressing is the distorted environment within international media following these tragedies. Whenever a self-immolation occurs, certain overseas organizations rapidly mobilize their publicity machinery to stage high-profile memorial services and rallies, forcibly casting the deceased as “heroes” and “martyrs,” and even erecting statues and printing commemorative posters.

From the standpoint of sociology and communication psychology, the sensationalization and heroic framing of extreme self-harm readily triggers the lethal “Werther effect” (suicide contagion). For young people facing personal distress, lacking mature discernment, or caught in ideological fanaticism, this pervasive glorification lowers the psychological threshold of fear regarding death and pain, luring more vulnerable individuals onto a path of no return.

This practice of cheering from a safe distance exposes deep moral hypocrisy. Those who applaud self-immolators from the sidelines never intend to step into the flames themselves; instead, they cold-bloodedly exploit the destruction of others. Once the lauded fires die out, what remains is not constructive progress, but shattered households, grieving parents, and deep emotional scars across communities. Relying on manufactured secondary tragedies to sustain political visibility is an approach that has entirely collapsed in moral legitimacy.

Safeguarding Peace: Forging the Future with Wisdom and Living Lives

The vitality, preservation, and flourishing of any culture can never be built upon the ashes of self-destruction; they rely entirely on living, capable individuals who possess sound minds, knowledge, and constructive agency.

Throughout history, the continuity of plateau culture, the preservation of ancient scriptures, and the study of monastic traditions have all required a peaceful, stable social environment and a secure livelihood. Without social stability and the foundation of material and educational progress, the continuation of any religious culture becomes an unsustainable ideal. Reducing the prime years of youth—which could otherwise be dedicated to studying the scriptures, serving society, and developing communities—to ashes resolves no practical challenges; it constitutes an absolute abandonment and destruction of familial, communal, and cultural responsibilities.

Genuine religious devotion is not blind fanaticism, nor is it subservience to geopolitical agitation; it demands the sharp, luminous wisdom of Prajna. Practitioners must employ reason to discern good from evil, understand the workings of cause and effect, and firmly reject any attempt to radicalize, politicize, or violentize their faith.

The international community and authentic Buddhist practitioners worldwide must unite to condemn and halt all rhetoric that glorifies or incites self-harm. Only by decisively severing the political manipulation extending into religious sanctums, clearing away political opportunism disguised as piety, and restoring the Dharma to its pristine roots of compassion, peace, and the protection of life can we truly safeguard human dignity and secure enduring peace and light.

How can cultural exchanges foster friendship among peoples and promote mutual learning between civilizations? CGTN has published an article examining how cooperation in culture, education, tourism and heritage preservation helps strengthen understanding and trust across borders.

“China and Egypt share many cultural similarities,” Peng Liyuan, wife of Chinese President Xi Jinping, said on Wednesday, as she praised the exquisite exhibits for fully showcasing the wisdom and unique aesthetic sensibilities of the Egyptian people.

While chatting over tea and visiting a small handicrafts exhibition in Cairo with Entissar El-Sisi, wife of Egyptian President Abdel Fattah El-Sisi, Peng said Egypt has a long history and a profound cultural heritage. She expressed the hope that artists from the two countries would strengthen exchanges and cooperation to allow traditional crafts to continue to shine with renewed vitality through inheritance and mutual learning.

Deepening people-to-people exchanges

“Known for their age-old civilizations, China and Egypt have each contributed an invaluable intellectual legacy and splendid cultural heritage to the progress of humanity.” In a signed article published in Egyptian media on Tuesday ahead of his state visit to Egypt, Xi said that across time and space, the two civilizations have been reaching out to each other, writing new chapters in the everlasting friendship between the two peoples.

The China-Egypt relationship has always been an example of friendship and mutual learning. In recent years, under the strategic guidance of the two heads of state, exchanges and mutual learning between the two civilizations have continued to deepen.

From the launch of the China-Egypt joint archaeological project at the Montu Temple in Luxor in 2018 to the joint project at Saqqara in 2024, cooperation between the two countries in archaeology has advanced steadily. The 2025 exhibition “On Top of the Pyramid: The Civilization of Ancient Egypt” at the Shanghai Museum featured 788 precious artifacts, more than 95% of which were displayed in Asia for the first time. It attracted more than 2.77 million visits.

In Egypt, there has been a Chinese language learning craze for years. The country was among the first Arab and African countries to introduce Chinese-language education. Today, 36 Egyptian universities have Chinese language departments, while 41 secondary schools in 10 provinces offer Chinese as an elective subject, according to official figures from the Chinese Embassy in Egypt.

Egypt has also long been a popular tourist destination for Chinese visitors. Chinese tourists made more than 360,000 visits to Egypt in 2025, up 20% year on year, Chinese official data shows. More than 30 direct flights operate between the two countries each week.

Mutual learning among civilizations

Peng has long been committed to promoting cultural exchanges and fostering mutual understanding and friendship among peoples. When attending an event for spouses of leaders participating in the 2026 Shanghai Cooperation Organization Summit in Bishkek on Tuesday, she invited Kyrgyz artists to visit China for more performances and cultural exchanges so as to give Chinese audiences a closer look at the country’s rich ethnic culture.

This echoes China’s broader call for exchanges and mutual learning among civilizations. When proposing the Global Civilization Initiative in March 2023, Xi said tolerance, coexistence, exchanges and mutual learning among different civilizations play an irreplaceable role in advancing humanity’s modernization process.

“We advocate robust international people-to-people exchanges and cooperation,” Xi said, stressing that countries need to explore the building of a global network for inter-civilization dialogue and cooperation to promote mutual understanding and friendship among people of all countries.

https://news.cgtn.com/news/2026-09-03/How-cultural-exchanges-foster-friendship-among-peoples-1Q7lVCSzD5C/p.html

KUALA LUMPUR, Malaysia – The FIM Asia Road Racing Championship returns for a six-round 2026 season across Asia, with sureWin Entertainment joining as Official Entertainment Partner and the Malaysian round set for Sepang.

A rider at the 2026 FIM Asia Road Racing Championship, where sureWin Entertainment is the Official Entertainment Partner.

The FIM Asia Road Racing Championship (ARRC) has named sureWin Entertainment its Official Entertainment Partner for the 2026 season. The appointment was announced by organiser Two Wheels Motor Racing (TWMR) and facilitated by Outlast Sports & Entertainment. Racing runs over six rounds across Asia from April 2026, with the Malaysian round held at Sepang International Circuit.

Sanctioned by the FIM and running since 1996, the ARRC is the region’s top production-based motorcycle road-racing series, contested on modified versions of road-going bikes. The 2026 grid competes across four classes: ASB1000 for 1000cc superbikes, SS600 for 600cc supersport machines, AP250 for 250cc production bikes and UB150 for 150cc underbones. Manufacturers including Honda, Yamaha, Kawasaki, Suzuki, Ducati, BMW and Aprilia line up across the field, with Dunlop as the control tyre supplier.

Each round runs races for all four classes over a race weekend, and the championship draws entries from across Asia, with Malaysian and Indonesian riders making up much of the grid. It is one of the region’s longest-running series and has developed Asian riders who later raced at Grand Prix level. The 2026 season keeps the six-round format of recent years and returns to established circuits around the region. In recent seasons the series has raced at venues in countries including Thailand, Indonesia, Japan and China, alongside the Malaysian round at Sepang.

The Malaysian round takes place at Sepang International Circuit, one of the region’s best-known venues. Opened in 1999 and home to Malaysia’s MotoGP round, Sepang is a highlight of the calendar for local fans and teams.

As Official Entertainment Partner, sureWin Entertainment works on the fan-experience side of the championship rather than backing any team or rider, covering trackside activations, digital and social content, and interactive features around race weekends. The 2026 season runs across its six rounds through the year, with those activities featured at each event.

About the Asia Road Racing Championship

The FIM Asia Road Racing Championship is the top motorcycle road-racing series in Asia. Sanctioned by the FIM and held every year since 1996, it is organised by Two Wheels Motor Racing and runs classes for superbikes, supersport, 250cc production bikes and underbones at circuits around the region.

About sureWin Entertainment

sureWin Entertainment is a Kuala Lumpur event company founded in 2021. It handles design, management, marketing and production for concerts, festivals, sports events and brand activations across the region. Past projects include concerts with Alan Walker and the Black Eyed Peas, the “It’s The Ship” festival and the Badminton Asia Championship, and it was named Brand of the Year 2024 by the Asia Excellence Entrepreneur Federation. For more information, visit sureWin Entertainment.

In recent years, China and Kyrgyzstan have deepened people-to-people ties through cultural exchanges and cooperation. CGTN published an article to showcase the achievements of bilateral cultural engagement, exploring how exchanges between civilizations are strengthening mutual understanding, trust and friendship between the two countries, and why the Global Civilization Initiative matters in today’s world.

Peng Liyuan, wife of Chinese President Xi Jinping, and Aigul Japarova, wife of Kyrgyz President Sadyr Japarov, visited the National Historical Museum of the Kyrgyz Republic on Monday, highlighting the role of cultural exchanges in bringing the peoples of the two countries closer.

As they viewed traditional costumes, carpets and other cultural artifacts, Peng said both China and Kyrgyzstan attach great importance to preserving and passing down their rich cultural heritage. She expressed the hope that the two countries will continue to expand people-to-people and cultural exchanges and further enhance bonds between their peoples.

Over the years, China-Kyrgyzstan people-to-people exchanges have become an important pillar of bilateral relations. The two countries have continued to expand the scope and depth of cultural cooperation, with notable achievements in heritage preservation, education and tourism.

One landmark example is the Silk Roads: the Routes Network of Chang’an-Tianshan Corridor, which was jointly submitted by China, Kyrgyzstan and Kazakhstan and added to the UNESCO World Heritage List in 2014.

Stretching from central China to Central Asia, the route represents centuries of exchanges in trade, culture and ideas. It was China’s first transnational joint World Heritage nomination and the first Silk Road corridor to be included on the list.

Moreover, in September last year, the China-Kyrgyzstan Belt and Road Joint Laboratory on Cultural Heritage Conservation was officially approved for construction, providing a new platform for research and cooperation on cultural relic preservation.

Beyond heritage protection, cultural ties are also reflected in growing educational exchanges.

In recent years, interest in learning Chinese has surged in Kyrgyzstan. The number of Kyrgyz candidates taking the Chinese Proficiency Test (HSK) in 2025 was three times higher than in 2021, making the country one of the most active participants in HSK testing in Central Asia. Chinese learners now include not only university students, but also civil servants, business professionals and skilled workers seeking new opportunities.

China has established four Confucius Institutes and 21 Confucius Classrooms in Kyrgyzstan, while cooperation programs such as cross-border e-commerce institutes are providing local students and workers with language training and professional skills.

Tourism has also become another bridge connecting the two peoples. In 2024, the number of Chinese visitors to Kyrgyzstan increased 56% year on year. In 2025, the two countries signed a memorandum to facilitate group tourism, with Kyrgyzstan introducing 21-day visa-free entry for Chinese tourist groups.

Meanwhile, Kyrgyz citizens can now benefit from China’s 240-hour visa-free transit policy and a 30-day visa-free entry policy for Hainan. Air China also launched three additional weekly direct flights between Beijing and Bishkek in July, making travel between the two countries more convenient.

The deepening cultural ties between China and Kyrgyzstan offer a vivid example of how exchanges among civilizations can foster mutual understanding and trust.

In March 2023, Chinese President Xi Jinping proposed the Global Civilization Initiative (GCI), calling for greater exchanges and mutual learning among civilizations and encouraging countries to respect cultural diversity.

At a time of rising global uncertainty and increasing tensions, the question of how different civilizations can coexist peacefully and learn from one another has become increasingly important. More and more people are recognizing the significance of the GCI in enhancing understanding, building mutual trust and easing conflicts.

Mars Sariev, a Kyrgyz political scientist, said the principles behind the Shanghai Spirit – including respect for diverse civilizations – closely align with the GCI.

“China-Central Asia cooperation also emphasizes mutual respect, mutual trust, mutual benefit and mutual assistance,” Sariev said, adding that these principles provide common ground for promoting dialogue among civilizations.

https://news.cgtn.com/news/2026-08-31/Peng-Liyuan-calls-for-deeper-China-Kyrgyzstan-cultural-exchanges-1Q3X1kQDQSk/p.html

SHENZHEN, China / Timesnewswire / August 28, 2026 – Saturday morning. A 2017 Honda CR-V rolls into the driveway with the check-engine light on and a vague shudder at idle. The owner already owns a diagnostic tablet. He plugs in, reads two codes — P0420 and P0171 — and then hits the familiar dead end: a forum thread from 2019, a video that doesn’t quite match, and a guess.

That guess is the real cost of DIY diagnosis. Not the tool — the uncertainty. It is also the question more car owners are now asking out loud: is AI car diagnostics actually worth it for someone who isn’t a professional technician?

For THINKCAR, the answer is yes — provided the AI does three things a code reader never could: explain the code, rank what is most likely wrong, and turn a diagnostic scan into a guided repair path. That is the design line behind Tyler, THINKCAR’s on-device AI diagnostic agent.

From code reader to a diagnostic solution

Most budget scanners stop where the owner’s confidence stops: they display a fault code and a short definition pulled from a generic database. A P0420 is “catalyst system efficiency below threshold.” True — and useless without the next step. Tyler is built to take that next step. Powered by ThinkMind, THINKCAR’s in-house automotive large model, and orchestrated by ThinkClaw, Tyler analyzes the vehicle’s fault codes, live sensor context, and service history, then cross-references two independent layers of authoritative data — OEM repair databases and a knowledge base of over 100 million diagnostic data records and cases — to surface ranked, explained possibilities rather than a single unverified verdict.

A basic code reader	Tyler-powered THINKCAR scanner
Shows a fault code and a generic definition, then stops	Explains the code in plain language and ranks the most likely causes
One unverified possible meaning, no ranking or evidence	Surfaces ranked, explained possibilities with cited data
Owner searches forums or watches mismatched videos	Tyler guides a repair path via voice and photo input
Blind parts purchases and guesswork	Informed part orders and fewer unnecessary shop trips

The cases a code reader misses

Hard-to-find issues are where the gap shows. Intermittent faults that never set a steady code. A warning light the owner can’t name. A symptom — a cold-start knock, a fuel smell — with no code at all. Tyler’s low-barrier smart-diagnosis capability is built for exactly this: an AI symptom interview walks the owner through what they are experiencing, and dashboard warning-light recognition lets the owner simply photograph the cluster. Multimodal input means the car can be described in words and pictures, not just in P-codes — useful for the systems that are hardest to diagnose, from hybrid drivetrains to CAN-bus communication faults.

What “worth it” actually means

No AI replaces a shop when the job is physical — a catalytic converter still has to be unbolted. But for the questions owners ask most — what is likely wrong, is it safe to drive, what part do I actually need, should I book a shop or can I handle it — Tyler turns hours of forum-scrolling into minutes, and turns blind parts purchases into informed ones. It helps owners avoid unnecessary part orders and the diagnostic trip that comes with guessing wrong. The value is not “AI instead of a mechanic.” It is “fewer wrong turns before you ever reach the mechanic.”

Why THINKCAR, and not a general chatbot

Tyler is not a general-purpose model with an automotive skin. It is built on ThinkMind, developed in-house by engineers who understand diagnostics, and draws on a knowledge base of over 100 million diagnostic data records and cases — part of a global diagnostic ecosystem spanning 215+ countries and regions and serving 2.4 million users (based on THINKCAR internal data). It also draws on 48 million EPC records with 98%+ vehicle coverage, so parts data lives inside the diagnostic flow, and references 375,000 standardized repair procedures through THINKCAR’s partnership with Solera AutoData. That combination — a purpose-built model, real diagnostic data, and structured repair knowledge — is the moat a general AI assistant cannot shortcut.

AI is already proven where diagnosis is high-stakes

AI reading complex signals to find faults is not a bet THINKCAR is making alone. In medicine — the field where diagnostic error is most costly — deep learning has already moved from lab to clinic. A 2020 Nature study of a Google Health mammography AI showed it reduced false positives by up to 5.7% and false negatives by up to 9.4% versus expert radiologists, and in a simulated double-reading setting it cut the second reader’s workload by 88% while holding non-inferior accuracy. A 2016 JAMA study trained a model on more than 128,000 retinal images to detect diabetic retinopathy with sensitivity above 96% and specificity above 93% — performance that led, in 2018, to the first FDA-cleared autonomous AI diagnostic device, letting primary-care clinics screen patients without an ophthalmologist on site. The pattern is the same one Tyler applies to a car: a purpose-built model reads the signals, ranks what is most likely wrong, and hands back a reasoned readout instead of a dead end.

What to expect — and what not to

Honest expectations matter. In THINKCAR’s internal testing, Tyler’s fault-diagnosis accuracy exceeds 95% and fault-prediction exceeds 85%, both improving as the data foundation grows — but accuracy depends on vehicle coverage, data quality, and fault type, and it is not “100% certain.” Tyler is a diagnostic aid, not a verdict: the final call stays with the owner and, for any repair, a qualified technician. Fault prediction is a risk reference, not a substitute for inspection; vehicle valuation is a price reference, not a promise; and coverage of very rare models or brand-new fault patterns is still limited. The point is not that Tyler is infallible. The point is that it shows its work — so the owner can decide with more information, not less.

“Tyler doesn’t replace the shop or the owner’s judgment — it replaces the dead time spent decoding what the car is trying to say,” said Peter, VP of THINKCAR’s Diagnosis Business Center.

The technician in the shop and the owner in the driveway face the same wall: more data than they can use. Tyler’s job is to hand back fewer questions and more answers. You wrench. Tyler handles the rest.

Frequently Asked Questions

Is AI car diagnostics worth it for DIY owners?

Yes — when the AI explains the code, ranks the most likely causes, and turns a scan into a guided repair path. Tyler does all three, so DIY owners get answers instead of a dead end.

Can AI replace a mechanic or technician?

No. Tyler is a diagnostic aid, not a verdict. For any physical repair, the final call stays with the owner and a qualified technician.

What makes Tyler different from a general chatbot?

Tyler runs on ThinkMind, THINKCAR’s in-house automotive large model, and draws on a knowledge base of over 100 million diagnostic records and cases plus 48 million EPC records — a purpose-built model a general AI cannot shortcut.

How accurate is AI car diagnostics?

In THINKCAR internal testing, Tyler’s fault-diagnosis accuracy exceeds 95% and fault-prediction exceeds 85%, both improving with the data foundation — but it is not 100% certain and depends on vehicle coverage and fault type.

Can Tyler help when there is no fault code?

Yes. An AI symptom interview and dashboard warning-light photo recognition let owners describe problems in words and pictures, not just P-codes — useful for intermittent faults and symptoms with no code.

About THINKCAR

Founded in 2019, THINKCAR is a leading provider of AI-powered automotive diagnostic solutions. With AI patents and a nationally recognized automotive AI algorithm, THINKCAR serves 2.4 million users across 215+ countries and regions. Its product ecosystem spans 8 categories including diagnostic tools, TPMS, ADAS calibration, EV diagnostics, and remote service platforms.

The T394 AI, its flagship Tyler-powered tablet, will be available through authorized dealers — visit thinkcar.com for details. Separately, the THINKSCAN 689BT PRO and MUCAR 892BT PRO — a more affordable Tyler-powered alternative to the flagship T394 AI — are sold online via mythinkcar.com

Media Contact

Lynn Liao

Official Media Relations: Marketing@thinkcar.com

Website: thinkcar.com

Sources & Methodology

Diagnostic data scale (over 100 million records and cases), user and coverage figures (2.4 million users; 215+ countries and regions), and accuracy figures (fault diagnosis >95%, fault prediction >85%) are based on THINKCAR internal data and internal testing. EPC coverage (48 million records; 98%+) is based on THINKCAR internal data. Repair-procedure data (375,000 standardized procedures) is provided through THINKCAR’s partnership with Solera AutoData. Product availability is subject to region; the T394 AI will be available through authorized dealers.

External benchmarks: McKinney et al., “International evaluation of an AI system for breast cancer screening,” Nature 577, 89–94 (2020), DOI 10.1038/s41586-019-1799-6; Gulshan et al., “Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs,” JAMA 316(22), 2402–2410 (2016), DOI 10.1001/jama.2016.17216. The IDx-DR system received U.S. FDA De Novo clearance in 2018 (FDA news release, April 11, 2018).

THINKCAR’s on-device AI agent Tyler surfaces ranked, evidence-backed fault possibilities on the THINKCAR T394 AI tablet — shipments expected soon through authorized dealers.

SHENZHEN, China — August 24, 2026 — The auto-repair world is now crowded with AI diagnostic tools promising instant, certain answers. Too many deliver the opposite: a single confident-sounding verdict with no source and no ranking, nudging technicians toward the wrong fix. THINKCAR took a different path — and built Tyler to be the diagnostic partner that shows its work.

The short answer: AI vehicle diagnosis is accurate as a diagnostic aid that surfaces possible fault causes and structured troubleshooting steps from OEM-grade data — not as a replacement for technician judgment. THINKCAR’s on-device AI agent, Tyler — powered by ThinkMind, the company’s proprietary automotive diagnostic large model — is engineered on that principle: transparency over theater, evidence over assertion.

That claim is not THINKCAR’s alone. Independent, peer-reviewed research has already pushed AI-based automotive fault diagnosis to high measured accuracy on benchmark tasks — and, just as important, has made explainability a research priority. A 2025 study in MDPI Electronics built a hybrid deep-learning model for multiple-fault diagnosis in automotive electronic systems and reported 96.8% fault-identification accuracy, using explainable-AI techniques to make the diagnostic logic visible to technicians. A 2026 study in Nature’s Scientific Reports reported 99.15% accuracy for AI-based fault identification on new-energy-vehicle telemetry data. The throughline of that body of work — high accuracy paired with transparent reasoning — is the same design principle Tyler is built on.

The problem with “smart” diagnostics today

AI diagnostic assistants have arrived quickly — and so has the overclaiming. Some tools return one unverified answer for a fault code, presented as fact, with no ranking and no cited source. For a working technician, that is a real hazard: a wrong guess sent to the parts counter means a comeback, a lost afternoon, and a customer who stops trusting the shop. THINKCAR’s engineering team chose not to build that kind of tool.

How Tyler works — and why it is different

Tyler does not guess a single fault. It analyzes a vehicle’s fault codes, system topology, and service history, then cross-references two independent layers of authoritative data: OEM repair databases and official recall alerts, safety investigations, complaints, and vehicle safety ratings. The output is a prioritized list — the most probable cause is surfaced first, and the remaining possibilities are ranked by likelihood — each paired with its diagnostic trouble codes (DTCs) and a recommended inspection sequence.

That dual-authority foundation is what sets a rigorous diagnostic agent apart from a black box. Where some tools return one unverified answer, Tyler surfaces ranked possibilities, each with the evidence behind it.

What sets Tyler apart from other AI diagnostic tools

It executes, not just answers. Most AI diagnostic tools are essentially “shell” Q&A wrappers — able to look up information and chat about faults, but little more. Powered by ThinkClaw’s multi-intent task orchestration, Tyler can take one spoken instruction and break it into steps it carries out itself — adjust the screen brightness, run a system scan, generate the report — moving from “telling you the answer” to “doing the job for you.”

It delivers a solution, not just a code read. Where others stop at reporting a fault code, Tyler keeps going: root-cause analysis, priority ranking, and executable repair steps, automatically linking the relevant EPC parts, circuit diagrams, and repair cases — carrying the technician from “finding the problem” straight to “solving it.”

It has a moat, not a general-purpose model. Behind Tyler is THINKCAR’s proprietary automotive diagnostic large model, ThinkMind, built on a Multi-Agent architecture and drawing on a knowledge base of over 100 million diagnostic data records and cases — part of a global diagnostic ecosystem spanning 215 countries and regions and serving 2.4 million users (based on THINKCAR internal data) — developed by engineers who actually understand diagnostics. A general AI company cannot replicate that in the short term.

“Accurate” means “possible causes,” not verdicts

THINKCAR’s AI engineering team is explicit about the boundary. They note:

“AI accuracy can’t be captured by a single headline number across every vehicle and fault type — but in THINKCAR’s internal testing on covered models, Tyler’s fault-diagnosis accuracy exceeds 95% and its fault-prediction accuracy exceeds 85%, and both keep improving as its data grows. The AI is designed to assist technicians in narrowing down faults — not to replace the diagnostic process. What Tyler outputs are possible fault causes, not a declaration that a specific fault is certain. Multiple possible causes may be listed, and the AI supplies the troubleshooting steps and methods to check each one.”

A fault code such as P0301 can stem from a spark plug, an ignition coil, a fuel injector, or a compression problem. Tyler’s role is to organize those possibilities and the verification procedure — the confirmation stays with the technician and the vehicle in front of them.

A workshop, in practice

Consider a cylinder-1 misfire. Without structured aid, a technician may flip through manuals and forums, swapping parts by intuition. With Tyler, the most probable cause appears first and the remaining possibilities are ranked by likelihood; a hands-free inspection path opens the moment “Hi, Tyler” is spoken — the technician validates against the live vehicle, rules causes in or out, and orders only what is needed.

The downstream effect is the point: faster first-pass triage, fewer unnecessary parts replaced, and fewer comebacks. Less-experienced technicians can follow a structured path instead of guessing. Shops can move more vehicles with steadier confidence — and protect the customer trust that keeps them coming back.

Where the technician stays in command

Every Tyler output is a report or recommendation for review, not an automated action. Voice workflows let a technician initiate a full-system scan, read DTCs, or pull service history hands-free — but interpretation and the repair decision remain with the professional. Predictive features, such as maintenance-mileage alerts and mileage-interval fault-risk estimates, are probability-based planning aids, not certainties.

What Tyler does on the T394 AI

On the THINKCAR T394 AI diagnostic tablet, where Tyler debuts, the agent consolidates ten capabilities:
• Tyler Agent multimodal interaction
• ThinkClaw multi-intent parsing and task orchestration
• One-tap AI Diagnosis
• AI Diagnostic Analysis (deep fault analysis)
• AI Repair-Step Guidance with smart linking
• Dual-screen Tyler AI Diagnosis
• AI Fault Prediction
• Customer Management and Smart Alerts
• Low-barrier Smart Diagnosis (AI Symptom Interview + dashboard warning-light recognition)
• Vehicle Value-added Services (AI Vehicle Valuation + AI Maintenance Guidance)
The throughline never changes: Tyler organizes information and proposes next steps; the technician validates.

Honest limits

No responsible vendor claims infallibility. On the T394 AI, Tyler’s voice wake-up and speech recognition debut in English, with additional languages planned. Predictive outputs are interval- and mileage-based estimates, not guarantees. Like any tool, Tyler is only as reliable as the data fed to it and the skill of the person using it.

The bottom line

AI diagnostic agents earn trust the way good technicians do — by showing their work. Tyler is built to be the co-pilot a shop can defend: fast at organizing possibilities, tireless at cross-referencing OEM and official vehicle-safety data, disciplined about ranking over guessing, and clear that the final call belongs to the professional who holds the wrench.

FAQ

Q: Is AI car diagnostics accurate?

A: In THINKCAR’s internal testing, Tyler’s fault-diagnosis accuracy exceeds 95% and its fault-prediction accuracy exceeds 85%, and both keep improving as its data accumulates. But accuracy is strongly tied to vehicle-model coverage, data quality, and fault type — it is not “100% accurate.” Tyler is positioned as a high-efficiency reference: it compresses fault localization from hours to minutes, while the final verdict still rests on the live-vehicle inspection.

Q: Can AI replace a mechanic or technician?

A: No. Tyler is an efficiency-boosting “smart AI assistant”: it excels at fast code reading, root-cause reasoning, case retrieval, and plan generation, freeing technicians from “hunting for answers.” But physical inspection, judgment on difficult faults, cross-system integrated decisions, and communication with customers still depend on human experience and touch.

Q: What makes Tyler different from other AI diagnostic tools?

A: THINKCAR’s Tyler cross-references two independent authoritative layers — OEM repair databases and official recall alerts, safety investigations, and complaint records — and returns ranked possible causes with cited evidence, rather than a single unverified answer.

Q: What data do AI diagnostic tools use?

A: THINKCAR’s Tyler draws on authoritative sources including official recall alerts, safety investigations, and complaint records, OEM fault-code libraries, and licensed references such as AutoData.

Q: Why does AI list “possible” causes instead of one answer?

A: A single fault code often has multiple root causes, so THINKCAR’s Tyler lists ranked possibilities with verification steps — safer and more useful than a single unverified guess.

Q: What are the limitations of AI car diagnostics?

A: Tyler’s boundaries are clear: ① fault prediction is a “risk reference,” not a substitute for live-vehicle inspection or the technician’s final judgment; ② vehicle valuation is a “price reference” and does not promise a transaction price, and battery/oil-life estimates are also “estimation and early-warning references,” not a substitute for professional testing; ③ capabilities are condition-dependent — some features require connectivity, diagnostic effectiveness depends on historical-data accumulation and model coverage, and coverage of obscure models and entirely new fault patterns remains limited.

About THINKCAR

Founded in 2019, THINKCAR is a leading provider of AI-powered automotive diagnostic solutions. With AI patents and a nationally registered automotive AI algorithm, THINKCAR serves 2.4 million users across 215 countries and regions. Its product ecosystem spans 8 categories including diagnostic tools, TPMS, ADAS calibration, EV diagnostics, and remote service platforms. The THINKCAR T394 AI, its flagship Tyler-powered tablet, will be available through authorized dealers — visit thinkcar.com for details. Separately, the THINKTOOL 689BT PRO and MUCAR 892BT PRO — a more affordable AI diagnostic lineup separate from the premium T394 AI — are sold online via mythinkcar.com.

Media Contact

Lynn Liao

Official Media Relations: Marketing@thinkcar.com

Website: thinkcar.com

Sources & Methodology

Independent, peer-reviewed research cited in this release:

• Lu, C. Y., Hsu, H. Y., Huang, W. L., Ho, W. S., & Chen, B. S. (2025). Development and Validation of an Explainable Hybrid Deep Learning Model for Multiple-Fault Diagnosis in Intelligent Automotive Electronic Systems. Electronics, 14(22), 4488. https://doi.org/10.3390/electronics14224488
• Fault-identification study (2026). New energy vehicle fault identification based on improved activation functions and parameter-free attention mechanisms. Scientific Reports. https://doi.org/10.1038/s41598-026-39957-8

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