HONG KONG, Nov. 17, 2025 /PRNewswire/ — Two of Hong Kong’s most popular destinations have come together to create an extraordinary festive experience. Harbour City, the city’s most iconic shopping mall, and Hong Kong Disneyland Resort (HKDL) present “Magical Christmas @ Harbour City”, extending HKDL’s festive vibes to the Victoria Harbour waterfront and inside the mall this Christmas. Renowned for its stunning holiday decorations, Harbour City unveils Hong Kong’s largest off-park Disney-themed Christmas installation, inviting local and global Disney fans to immerse themselves in a world of joy and wonder.

From 12 November 2025 to 4 January 2026, five enchanting photo hotspots featuring Mickey and Friends, Duffy and Friends, and the beloved “World of Frozen” are set against the stunning Victoria Harbour waterfront and within the mall, offering Disney fans an unforgettable holiday experience.

The centrepiece is the nine-metre-tall “Magical Christmas Tree” at the Ocean Terminal Forecourt. Decked in classic green boughs and accented with golden Mickey-shaped ornaments and vibrant lights, this towering tree creates a perfect photo spot against the backdrop of Victoria Harbour. Adding to the festive cheer, beloved Disney Friends like Santa Mickey and Santa Goofy share heartfelt holiday wishes through interactive videos.

Another highlight is the “Friendtastic!” parade-themed installation, a dazzling ten-metre-long display inspired by the Mickey and Friends float featured in Hong Kong Disneyland’s largest-ever parade. Figurines of Mickey & Friends are dressed in parade-exclusive outfits, delivering a joyful performance with musical instruments. The colourful stage design is adorned with decorations featuring Hong Kong’s signature bauhinia flower, infusing local cultural elements into the Disney magic.

The festive journey continues with a “World of Frozen”-themed installation, inspired by the world’s first and largest Frozen-themed land at HKDL. The installation shows Anna and Elsa preparing for a festive celebration, while Olaf is busy decorating with little gifts, bringing everyone the holiday vibe from Arendelle. The cozy “Duffy and Friends Christmas House”-themed zone adorned with plushies in winter attire offers guests a chance to take photos and create cherished memories.

With these spectacular decorations, “Magical Christmas @ Harbour City” promises to be the ultimate destination for holiday celebrations in Hong Kong.

#HarbourCity #HCXmas #HKDisneyland #ADisneyChristmas

Customer Enquiry: (852) 2118 8666   |   Website: www.harbourcity.com.hk

The new Sustainable Finance Taxonomy Mapper aims to advance green investment research

SINGAPORE, Nov. 17, 2025 /PRNewswire/ — Singapore Management University (SMU), in partnership with a global consortium of universities and finance leaders, has launched the Sustainable Finance Taxonomy Mapper, a first-of-its-kind global platform that compares and connects sustainable finance taxonomies across countries.

Developed in partnership with Dublin City University, the University of Edinburgh, University College Dublin, the Climate Bonds Initiative, the EU Sustainable Finance Advisory Hub, GIZ, the Principles for Responsible Investment (PRI) and United Nations Environment Programme Finance Initiative (UNEP-FI), the Sustainable Finance Taxonomy Mapper is a pioneering initiative to advance research, support policymakers, and improve international interoperability in sustainable finance policy standards. The project enables a shared understanding of taxonomy design across jurisdictions, from the perspective of both general design features as well as deep economic activity mapping.

Global research team driving academic collaboration

The research team behind the initiative is co-led by Dr Theodor Cojoianu (Singapore Management University), Prof Andreas Hoepner and Dr Fabiola Schneider (University College Dublin), and Dr Anh Vu (Dublin City University). The team, supported by Edinburgh Innovations, the University of Edinburgh’s commercialisation service, is inviting universities and research institutions worldwide to contribute to expanding the Taxonomy Mapper and to join a growing global academic network advancing sustainable finance policy.

Commenting on the impact of the initiative, Dr Theodor Cojoianu, Associate Professor in Sustainable Finance, SMU said: “Our sustainable finance mapper tool and academic network will support policymakers, financial services actors and civil society by providing a data, research tools and education public goods for effective design of sustainable finance policies.”

Nathan Fabian, PRI’s chief sustainable systems officer, said: “The PRI has been engaging with investors on the implementation and use of sustainable finance taxonomies since their early inception. Enhancing the usability and interoperability of sustainable finance taxonomies is crucial to ensure well-functioning financial markets that collectively contribute to climate and broader environmental goals.”

Sean Kidney, CEO of the Climate Bonds Initiative commented, “The world has seen a wonderful explosion of sustainable finance taxonomies – shopping lists for the future. The next step is a tool to navigate seamlessly across them, quickly finding the extensive common ground. That’s what the Taxonomy Mapper is for.”

SMU faculty driving global impact

Assoc Prof Cojoianu of SMU’s College of Integrative Studies (CIS), in leading this initiative, underscores the College’s role in advancing SMU’s 2030 Strategic Plan and the University’s commitment to transformative education, impactful research and strategic partnerships.

SMU’s engagement with global challenges like climate change and sustainable finance is further exemplified by the active participation of CIS faculty such as Winston Chow, Lee Kong Chian Professor of Urban Climate and Co-Chair of Working Group II, IPCC AR7, in COP30 discussions, highlighting the university’s role in shaping international standards for sustainable finance and climate action.

Prof Elvin Lim, Dean, College of Integrative Studies, SMU said: “I am delighted that the College of Integrative Studies is fostering impactful international research partnerships on green finance policies. The mapping of green finance taxonomies to facilitate cross-jurisdictional operability is critical work that must be done to foster robust global cooperation on green finance. We are very excited to be a part of this consortium of esteemed institutions to do this impactful work.”

Bridging the global green finance divide

A surge in sustainable finance policies worldwide has led to the creation of numerous green taxonomies — each shaped by local economic and environmental priorities. While this diversity reflects regional needs, it also highlights the urgent need for independent academic research to improve global interoperability, helping policymakers enhance clarity and enable the smoother flow of green capital across borders.

The initiative is co-funded by the European Union under the EU Sustainable Finance Advisory Hub and the German Federal Ministry for Economic Cooperation and Development (BMZ). The contents are the sole responsibility of the authors and do not necessarily reflect the views of the European Union or BMZ.

To access the mapper, please visit sustainabletaxonomymapper.org

SHENZHEN, China, Nov. 17, 2025 /PRNewswire/ — UBTECH has begun mass production and delivery of the first batch of several hundred full-size industrial humanoid robots, Walker S2, which will be deployed in phases across frontline industrial applications. This milestone moves the company toward its target of delivering 500 units within the year and marks the beginning of large-scale, real-world implementation of humanoid robotics.

By establishing a closed-loop commercial cycle—from technology and real-world application to delivery and iterative improvement—UBTECH has developed core capabilities to rapidly address market demands and efficiently secure and fulfill orders, setting a replicable benchmark for the deployment of humanoid robots. The start of mass delivery highlights UBTECH’s expanding ability to strengthen and re-configure industrial ecosystems, accelerating the industry’s shift toward global, high-quality, scaled deployment.

Amid rising market demand, UBTECH has outlined a clear production ramp-up plan, targeting an annual capacity of 5,000 industrial humanoid robots by 2026, scaling to 10,000 units by 2027. UBTECH is already supplying its Walker S2 robots for key industrial uses in automotive manufacturing, smart factories, intelligent logistics, and data collection centers.

UBTECH has also taken the lead in shifting its delivery approach from providing products to delivering full operational capabilities, introducing a first-of-its-kind, standardized and replicable turnkey solution. With UBTECH’s proprietary BrainNet technology platform, these solutions enable rapid scenario deployment, enhance usability for industrial customers, and support innovative applications across manufacturing environments. Walker S2 is the world’s first industrial humanoid robot integrated with Co-Agent—UBTECH’s proprietary intelligent agent system. This system empowers the robot with closed-loop operational capabilities, including intention understanding, task planning, tool usage, and autonomous anomaly detection and handling. Complemented by a comprehensive user-training system, this shift from product delivery to scenario-based enablement offers a practical pathway to large-scale adoption of humanoid robots.

Since early 2025, UBTECH’s Walker series humanoid robots have accumulated orders exceeding 800 million yuan (approx. US$112 million), reinforcing the company’s leadership in global humanoid robot commercialization. Among these, a recent contract to deploy Walker S2 robots at a data collection center in Zigong, valued at 159 million yuan, ranks as the second-largest order of the year, following a record 250 million yuan order secured in September. These accomplishments reflect growing market demand and strong industry recognition of UBTECH’s product capabilities.

UBTECH collaborates with leading industry players including BYD, Dongfeng Liuzhou Motor, Geely Auto, FAW-Volkswagen Qingdao, Audi FAW, BAIC New Energy, Foxconn, and SF Express. Furthermore, with the Walker S series now entered on a wide range of automotive production lines to complete different tasks, UBTECH continues to accumulate extensive real-world data and frontline operational experience. This continuous scenario-based practice is essential for optimizing product performance and enables the development of production-line-ready, task-driven swarm intelligence.

Humanoid robots, recognized as the ultimate form of embodied intelligence, now stand at a historic inflection point—evolving from technological prototypes toward industrial-scale deployment. To achieve real-world commercialization in the age of embodied intelligence, the industry must overcome three fundamental challenges: technological maturity, real-world application, and scalable delivery. As the world’s first company to complete the loop between technological validation and commercial deployment in industrial environments, UBTECH is executing a proven strategy: advancing core technologies to support field deployment, using real-world insights to refine delivery models, and expanding scaled delivery to drive continuous technological evolution. UBTECH is committed to collaborating with industry partners to build an open, collaborative ecosystem and advance toward the large-scale adoption of humanoid robotics.

SHENZHEN, China, Nov. 17, 2025 /PRNewswire/ — Krinwave Technology, an innovator in medical imaging, announced plans to release one of the first ultrasound device powered by NVIDIA Jetson Thor. The device fully leverages Jetson Thor’s powerful computing performance to support the high-performance requirements of Krinwave’s proprietary kOS ultrasound system. This demonstrates an early application of Jetson Thor in ultrasound imaging, further extending its presence in medical imaging and unlocking the potential of advanced computing in diagnostic innovation.

Krinwave’s proprietary kOS system, built on its original super resolution beamforming algorithm and advanced low-frequency phased-array transducer technology, achieves a major breakthrough in overcoming the traditional trade-offs among spatial resolution, penetration, and temporal resolution in ultrasound imaging. Ultrasound devices powered by kOS deliver significant performance enhancements and lead the industry with HUS (High Penetration Probe, Ultrafast Plane Wave, and Super Resolution Beamforming) technology. Krinwave’s high-penetration probes reach imaging depths of up to 40 cm, and the ultra-fast plane wave imaging achieves a frame rate of up to 5,000 frames per second —50 times faster than traditional methods.

The system also breaks the diffraction limit to achieve super-resolution imaging, enabling high-definition visualization of adult cranial structures and propelling ultrasound imaging into a new era of super-resolution, precision, and intelligent diagnostics This leap in performance is enabled by NVIDIA’s full-stack edge computing platform, including Jetson Thor. Kirinwave developers leveraged NVIDIA acceleration tools such as Nsight Profiler, NVIDIA CUDA, NVIDIA TensorRT, and NVIDIA JetPack to improve performance and get to market fast. 

The kOS system has already been integrated with NVIDIA Holoscan platform, enabling intelligent-assisted diagnosis in scenarios such as transcranial ultrasound screening for Parkinson’s syndromes and cerebrovascular assessment, significantly improving diagnostic efficiency and accuracy. With the addition of the Jetson Thor processor, Krinwave’s next-generation system is capable of up to 2 petaFLOPS of AI performance, dramatically enhancing its ability to process and analyze large-scale ultrasound data in real time. This provides strong technical support for more complex clinical applications, including the assessment of neurological disorders such as Parkinson’s disease, Alzheimer’s disease, and depression. Beyond bedside stroke screening and diagnosis, the system also supports intraoperative guidance, neurocritical monitoring, cerebrovascular assessment, pediatric neuroimaging, and neurorehabilitation monitoring—further expanding the frontiers of ultrasound imaging.

“As NVIDIA continues to deliver ever more powerful full-stack computing platforms, Krinwave’s ultrasound systems will be able to run larger AI models, enabling smarter, more accurate, and more adaptive diagnostic capabilities,” said Jiajia Liu, CEO of Krinwave Technology. “Looking ahead, our kOS System will further integrate with NVIDIA Isaac, an openrobotics development platform to build autonomous and intelligent ultrasound systems capable of robotic scanning, real-time image optimization, and AI-assisted diagnosis. Future clinical applications—including low-intensity focused ultrasound (LIFU) for neuromodulation and ultrasound-based brain–computer interfaces—will also benefit from the combined power of NVIDIA AI infrastructure and Krinwave’s AI-driven innovation.”

SINGAPORE, Nov. 17, 2025 /PRNewswire/ — At the Singapore FinTech Festival 2025 (SFF 2025), Jason Cao, CEO of Huawei Digital Finance BU, delivered a keynote titled Beyond Digital: Towards AI-Infused Finance. He highlighted Huawei’s innovations in scenario-based agents, AI platforms, data and knowledge platforms, and infrastructure that address the core challenges of AI adoption in finance. Leveraging systematic engineering capabilities, Huawei aims to help financial institutions accelerate their intelligent transformation.

Cao noted, “The intelligent era will be characterized by hyper-personalization. AI in finance has reached a critical stage, and the key lies in its deep integration into core production processes and business scenarios, where it can deliver real business value. To gain a competitive edge in the next decade, financial institutions should harness AI to drive structural transformation across their workflows.”

Over the past decade, financial digitalization removed barriers of time and distance but still followed the 80/20 rule—80% of resources serving 20% of core users. In the decade ahead, AI will popularize the “one person, one team” model, empowering each individual with the capabilities of a full team through super AI assistants as the primary service portal. “Future financial services will evolve from recommending products directly to individuals to channeling them to personal super assistants. Those who lead this shift and deliver hyper-personalized services will get a head start.” Cao emphasized. He added that AI-driven structural transformation will extend across all aspects including financial service models, collaboration models, risk decisioning, and infrastructure.

Building a Four-Layer Systematic Solution to Achieve All-Scenario Intelligence

Cao outlined two paths global financial institutions are taking to advance AI-native applications: Large institutions build a matrix of agents, providing an AI assistant for each role and a trusted AI advisor for each customer; small and medium-sized institutions focus on high-value scenarios such as credit, deploying agents rapidly to achieve intelligent processes. To date, Huawei has already helped global financial customers deploy more than 500 AI use cases, spanning office, operations, marketing, risk management, and customer service. This helps customers enhance their internal efficiency, deliver greater value to end users, and mark the shift from single scenarios to systematic, comprehensive solutions.

Huawei has placed its intelligent computing platform at the core of a systematic solution covering computing power, platforms, engineering, and scenarios. To meet the demands of high concurrency and low latency in AI inference, Huawei has developed a leading computing power platform. This foundation supports enterprise-wide AI data governance through a unified knowledge and data platform, integrated with financial agent platforms and practices in data and model engineering—together forming a closed loop of end-to-end (E2E) AI capabilities. By collaborating with global ecosystem partners, Huawei is unlocking full-stack technological momentum to accelerate the deployment of AI in high-value scenarios.

In the intelligent mobile banking scenario, Huawei and a major Chinese bank have jointly innovated a next-generation intelligent mobile service architecture. Built on intelligent computing infrastructure and AI platforms, the architecture leverages hierarchical multi-agent collaboration, long-term memory storage, and E2E performance optimization across hardware and software. This has achieved intent recognition accuracy above 90% and latency as low as 1.2 seconds, helping the bank transform from passive response to proactive service.

Looking ahead, Huawei will continue to build on its leading computing power platform, systematic AI engineering expertise, structured ecosystem development, and new co-creation models with customers and partners. These initiatives will strengthen customer engagement, enhance risk management, and drive E2E business transformation, further embedding value-driven AI applications in the financial industry and helping financial institutions accelerate the effective adoption of AI.

Collaborating with More RongHai Partners to Establish a New Financial AI Ecosystem

During this event, Huawei, together with three RonghHai partners—Neuxnet, Speakly AI, and TrustDecision, respectively signed strategic cooperation agreements with Saudi Arabia’s leading financial institution Atmaal. The partner network of Huawei’s Ronghai program also continued to expand, with three new members onboarding: CMA, which provides stable payment services for central banks worldwide; Instadesk, which offers intelligent outbound calling and marketing capabilities; and MagicEngine, which delivers model development, inference, and services for financial institutions. An increasing number of valued financial solution partners are accelerating global collaboration with Huawei.

Through the Ronghai program, Huawei aims to co-create with global partners a “six-capability cluster” to systematically build an AI ecosystem along the financial production flow. This includes model development, agent engineering, industry knowledge bases, and scenario-based applications, while optimizing AI deployment efficiency through E2E hardware-software synergy.

As the financial industry moves from digitalization to digital and intelligent transformation, Huawei will continue to strengthen collaborative innovation with customers and partners, focusing on reshaping financial workflows and advancing ecosystem development. These efforts will enable AI to move beyond technology enablement toward significant improvement in productivity, opening a new chapter in intelligent finance.