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Ng Teng Fong Charitable Foundation and Sino Group Support Hong Kong’s Innovation and Technology Development

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Donation of HK$200 million to Encourage Local AI Research and Applications

HONG KONG, March 11, 2025 /PRNewswire/ — The Ng Teng Fong Charitable Foundation (NTFCF) and Sino Group are dedicated to nurturing talent and cultivating a vibrant innovation and technology ecosystem in Hong Kong. To further this aim and encourage innovative technological applications, as well as to attract and retain more talent, NTFCF and Sino Group have announced a donation of HK$200 million to support the Hong Kong Generative AI Research and Development Center (HKGAI) under InnoHK Research Clusters initiative (InnoHK). This funding will facilitate the further development of locally created artificial intelligence (AI) tools for industry and public use to enhance daily life. The broader application and development of AI technology will nurture ‘new quality productive forces’ in the long run, reinforcing Hong Kong’s position as a leading international hub for innovation and technology.

InnoHK, spearheaded by the Innovation and Technology Commission, is the flagship innovation and technology initiative of the Hong Kong SAR Government to promote global research collaboration and cultivate talents in Hong Kong. Established in 2023 and with the Hong Kong University of Science and Technology (HKUST) as the lead institution, HKGAI is the only centre under InnoHK specialising in generative AI technology, and recently launched Hong Kong’s first AI large language model, HKGAI V1, which is also the first in the industry to be based on the DeepSeek full-parameter fine-tuning research model.

The donation ceremony was attended by notable guests, including Mr Paul Chan, GBM, GBS, MH, JP, FinaLIncial Secretary of the Hong Kong Special Administrative Region; Professor Sun Dong, JP, Secretary for Innovation, Technology and Industry; Ms Lillian Cheong, JP, Under Secretary for Innovation, Technology and Industry; Mr Ivan Lee, JP, Commissioner for Innovation and Technology; Professor Guo Yike, Provost of the Hong Kong University of Science and Technology and Director of the InnoHK Hong Kong Generative AI Research and Development Center; Mr Daryl Ng, SBS, JP, Director of the Ng Teng Fong Charitable Foundation and Deputy Chairman of Sino Group; Ms Nikki Ng, Director of the Ng Teng Fong Charitable Foundation and Director of Philanthropy of Sino Group; Mr David Ng, Director of the Ng Teng Fong Charitable Foundation and Group Associate Director of Sino Group, among others. They joined to express support and hope for the continued development of AI technology in Hong Kong.

Mr Paul Chan, GBM, GBS, MH, JP, Financial Secretary of the Hong Kong Special Administrative Region expressed his heartfelt gratitude to the Ng Teng Fong Charitable Foundation and Sino Group for their support. He said that currently, AI is undergoing rapid development, which is redefining the core competitiveness of economies and reshaping the medium- to long-term landscape of the global economy. During the third session of the 14th National People’s Congress and the third session of the 14th Chinese People’s Political Consultative Conference National Committee last week, Premier Li Qiang mentioned the need to continue advancing the ‘AI+’ initiative in the Government Work Report, emphasising support for the extensive application of large-scale AI models, as well as the integration of digital technologies with our country’s manufacturing and market strengths. By fostering closer collaboration among the Government and the industry, academia, research and investment sectors, accelerating the development of AI as a core industry of Hong Kong, the city can be developed into an international exchange and co-operation hub for the AI industry.

Professor Harry Shum, BBS, Chairman of the Council of the Hong Kong University of Science and Technology, said, ‘We are immensely grateful to NTFCF and Sino Group for their generous donation to HKGAI. This support will undoubtedly accelerate the development of artificial intelligence in Hong Kong at a faster pace. As the home of HKGAI, we are proud of its achievements and firmly believe that, with the support of the Hong Kong SAR Government and society, HKGAI will continue to contribute positively to the advancement of AI.’

Professor Nancy Ip, SBS, BBS, MH, JP, President of the Hong Kong University of Science and Technology, added, ‘Artificial intelligence is a key focus for our university. We are proud of HKGAI’s milestones and sincerely thank NTFCF and Sino Group for their support. We hope HKGAI can meet the high expectations of the community and continue to achieve breakthroughs. HKUST is committed to providing comprehensive support to advance HKGAI in the field of AI.’

Professor Guo Yike, Provost of the Hong Kong University of Science and Technology and Director of the InnoHK Hong Kong Generative AI Research and Development Center, stated, ‘This generous donation will provide tremendous momentum to our research and development efforts. While expressing our profound gratitude, we are deeply aware of the expectations from Hong Kong society and the responsibilities that lie on our shoulders. Having recently launched our new model HKGAI V1, we are currently fully engaged in developing and optimising this model as well as a series of applications. In particular, we are developing the “HKChat”, a locally developed AI chatbot service to be used by Hong Kong citizens. This donation has provided crucial support for this endeavour. We will strive to ensure our work meets and exceeds the expectations.’

Mr Daryl Ng, SBS, JP, Director of the Ng Teng Fong Charitable Foundation and Deputy Chairman of Sino Group, remarked, ‘The Central Government and the Hong Kong SAR Government are committed to promoting innovation and technology while proactively enhancing strategies for AI advancement. Through collaborative efforts across sectors, the acceleration of “new quality productive forces” that leverage Hong Kong’s competitive edge can be achieved. We are pleased to foster the holistic development of the I&T ecosystem, nurturing talent and promoting the exchange and application of technology, and supporting the government’s goal of attracting and encouraging more international talent to Hong Kong. It is an honour to contribute to this significant milestone for AI development in Hong Kong, facilitating that locally developed AI platforms are accessible to both industry and the public. We are thankful for the opportunity to support the development of a more inclusive AI future that will benefit the lives of the people of Hong Kong.’

Sino Group has long promoted a diverse innovation and technology ecosystem, cultivating an innovative spirit from an early age and fostering a culture of innovation and technology. In 2014, the ‘Go Code’ programme was launched to provide free coding courses and robotics classes to over 6,000 underprivileged primary school students over five years. The annual Hong Kong Science Fair, inaugurated in 2021, has provided a platform for young inventors, and has received over 1,500 projects from primary and secondary school students and attracted nearly 70,000 attendees to date.

In addition, the Sino Inno Lab was established in 2018, to serve as a collaborative sandbox for start-ups, inventors, and technology companies from Hong Kong, Mainland China and overseas. This platform showcases proof-of-concept developments and fosters the co-creation of innovative solutions. Last year, Sino Inno Lab relocated to a strategic site in the Northern Metropolis, alongside the establishment of The Spark, which provides an open exchange platform and shared workspace for I&T talents. This initiative enhances collaboration between start-ups and technology companies, solidifying Hong Kong’s role as a vital link between the Guangdong-Hong Kong-Macao Greater Bay Area, Mainland China and the global market, and thereby opening broader development opportunities for the local innovation and technology sector.

About Sino Group

Established in 1971, Sino Group comprises three listed companies – Sino Land Company Limited (HKSE: 083), Tsim Sha Tsui Properties Limited (HKSE: 0247), Sino Hotels (Holdings) Limited (HKSE: 1221) – and private companies held by the Ng Family.

As one of Hong Kong’s leading property developers with core businesses in property development and investment, Sino Group has grown with the communities it serves. The Group’s business interests comprise a diversified portfolio of residential, office, industrial, retail and hospitality properties across Hong Kong, mainland China, Singapore and Australia, and has developed over 250 projects, spanning more than 130 million square feet. Core business assets are further complemented by property management services, hotel investment and management, including The Fullerton Hotels & Resorts and other affiliate brands.

With over 11,000 committed staff members, the Group strives to fulfil its vision of Creating Better Lifescapes with a focus on three interconnected pillars – Green Living, Community Spirit and Innovative Design – shaping the cities we call home where people live, work and play. Sustainability is central to what we do as we seek to create value for stakeholders and make business a driver of sustainability for a better future.

www.sino.com

About Ng Teng Fong Charitable Foundation

The Ng Teng Fong Charitable Foundation was established in 2010 in memory of the late founder of the Sino Group, Mr Ng Teng Fong. The Foundation steadfastly advocates education, youth development and community services. In the past years, the Ng Teng Fong Charitable Foundation has supported over 300 local NGOs and community partners. In addition to supporting good causes such as the Hong Kong Arts Festival, the National Gallery of Singapore as well as restoration of the Great Wall and Yanxi Gong, the Foundation provides financial assistance for students from less-resourced families in Hong Kong and mainland China through the Ng Teng Fong Scholarships. It also supports scholastic initiatives of Peking University, Tsinghua University and Zhejiang University in mainland China as well as the National University of Singapore, Singapore University of Technology and Design and Nanyang Technological University in Singapore.

www.ntfcf.org.hk

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SOURCE Sino Group

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

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SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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