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Under the theme “The Dreamatic Circus”, DELF 2026 explores how artificial intelligence (AI), immersive technologies, and other innovations are transforming the cultural and creative industries while creating new opportunities for digital entertainment and smart living. Running for three days, the event features four themed experience zones: Digital Entertainment, Culture and Arts, Smart Living and Business, and Robotics and Drones, showcasing more than 35 technology exhibits and interactive experiences.

Highlights include the immersive art exhibition of Hong Kong animation IP Another World, AI-powered fashion innovations, combat robots, drone performances, screenings, workshops, and competitions, offering visitors first-hand experience of emerging technologies.

DELF 2026 brings together more than 60 industry leaders, creators, academics, experts, and investors from Hong Kong, the Mainland, and overseas. The programme includes keynote speeches and panel discussions on AI collaboration, intellectual property development, the creative economy, smart living, film, gaming, animation, and immersive technologies.

On the first day, Cyberport signed memoranda of understanding respectively with Alibaba Cloud, The Hong Kong Academy for Performing Arts, and Hong Kong Shue Yan University. The partnerships will promote AI innovation, art-tech development, entrepreneurship, skills training, and talent cultivation, further strengthening collaboration among industry, academia, and research sectors.

Over the next two days, DELF 2026 will continue with eVTOL flight demonstrations, esports experiences, AI creative learning programmes, and showcases of AI-assisted animation and film projects. A special “Play to Earn” campaign will also allow visitors to complete missions, collect rewards, and win exclusive Another World merchandise.

For more information, visit: https://delf.cyberport.hk/tc/index

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Hashtag: #DELF

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Challenger brand introduces autonomous, powered, completely mechanical cleaners built around a fundamentally different approach to hard-surface cleaning.

BERLIN, GERMANY – Media OutReach Newswire – 28 August 2026 – The vacuum cleaner has dominated hard-surface cleaning centuries. Today Hizero is bringing that era to an end.

At IFA 2026, challenger cleaning brand is unveiling a full portfolio of No-Suction™ hard-surface cleaners that clean without conventional suction, vacuum motors, or high-speed airflow.

Rather than making vacuum cleaners more powerful, Hizero is taking the opposite approach: removing the vacuum altogether.

The company’s patented No Suction Technology replaces conventional airflow-based cleaning with bionic materials, direct-contact cleaning, water absorption, and mechanical waste separation.

At IFA, Hizero is demonstrating how far the concept can go with two new products: GLIDE, a no-suction robot cleaner, and EAZY, a fully mechanical cleaner that requires no battery, charging, or electronic motor.

Together with Hizero’s existing hard-surface cleaning products, they represent the company’s ambition to establish No-Suction as a new category of cleaning.

The Vacuum Era Is Ending

For generations, the basic principle of floor cleaning has remained unchanged: use suction to lift, transport and collect dirt.

Even today’s wet-and-dry cleaners continue to rely on the same architecture, combining a powerful motor, high-speed airflow and a roller or wiping system.

Hizero challenges that assumption.

Its No-Suction approach is based on a simple proposition: hard surfaces can be cleaned without needing a vacuum.

At the heart of the system is Hizero’s proprietary bionic polymer Multi Roller. Rather than relying on suction to pull debris from the surface, the roller makes direct contact with the floor, capturing solid debris while absorbing liquid.

As it moves, the roller is continuously refreshed with clean water. An integrated scraper removes dirty water, while the cleaning system separates different types of waste.

The result is a fundamentally different cleaning architecture:

• No suction.
• No vacuum motor.
• No conventional exhaust airflow.

Instead, Hizero uses material science and mechanical engineering to do the work traditionally assigned to a vacuum motor.

No-Suction™ Goes Autonomous: Meet GLIDE

The Hizero GLIDE takes No-Suction technology to robot floor cleaning.

GLIDE combines app-directed navigation with Hizero’s No Suction Technology, allowing it to clean hard floors without relying on conventional vacuum suction.

Its polymer Multi Roller captures dry debris and absorbs liquid while being continuously rinsed during operation.

GLIDE also incorporates Triple Auto Waste Separation, which separates solid debris, liquid waste, and hair inside the machine.

That means the cleaning process is not simply about moving dirt into a container. The machine actively manages multiple waste streams as it cleans.

For consumers, GLIDE provides hard-floor cleaning with a smartphone tap.

For the appliance industry, its significance is more fundamental:

GLIDE is a robotic cleaner that eliminates the need for vacuuming.

No-Suction™ Without Power: Meet EAZY

At the opposite end of the technology spectrum is Hizero EAZY — demonstrating that No-Suction™ cleaning does not necessarily require any technology at all.

EAZY operates without a battery, charging system, or electronic motor.

A simple push-pull motion drives the cleaning process. A squeeze trigger dispenses clean water onto the polymer roller, which captures debris and absorbs liquid as it moves across the surface.

The internal mechanism separates solid waste from dirty water.

In a single continuous action, EAZY is designed to sweep, wash, and wipe hard surfaces.

• There is no motor to charge.
• No battery to replace.
• No vacuum to power.

Just mechanical cleaning.

The result is a remarkably simple approach with applications ranging from kitchens, patios and homes to commercial environments.

One Technology. A Growing No-Suction™ Ecosystem.

GLIDE and EAZY are not standalone experiments. The company’s portfolio now spans autonomous floor care, powered hard-surface cleaning, handheld applications, and purely mechanical cleaning.

Hizero’s bionic technology has also been evolved for applications beyond floors, including countertops, windows, mirrors, and other hard surfaces, with opportunities across residential, hospitality, and commercial environments.

Rather than competing to build the most powerful vacuum, Hizero is challenging the industry to consider whether a vacuum is even necessary.

Challenging the Cleaning Status Quo

“For more than a century, the industry has focused on making vacuum cleaning better,” said Sam Li, Founder and CEO of Hizero. “We decided to challenge the assumption behind it. What if you don’t need the vacuum at all? No-Suction™ is our answer. We believe hard-surface cleaning is ready for a fundamentally different approach.”

At IFA 2026, Hizero is inviting the appliance industry — and consumers — to look beyond suction.

Because the next generation of hard-surface cleaning may not be about more suction, more noisy power, or more complexity.

“We welcome people and businesses to a new future of no suction cleaning, which heralds the end of vacuuming as we know it,” says Sam Li.

Hashtag: #Hizero

The issuer is solely responsible for the content of this announcement.

Empowering SMEs and Working Professionals to Embrace AI and Foster Widespread AI Adoption in Hong Kong

HONG KONG SAR – Media OutReach Newswire – 28 August 2026 – The Hong Kong Productivity Council (HKPC) today held the Launching Ceremony of the “AI for All” Inclusive Programme, aligning with the National 15th Five-Year Plan and the “AI+” initiative, and supporting the HKSAR Government’s policies of “industries for AI, AI for industries” and “AI for All”. Coordinated by the Innovation, Technology and Industry Bureau (ITIB), the “AI for All” Inclusive Programme aims to promote the widespread adoption of AI across society. As one of the programme implementation partners, HKPC will lead the “AI with HKPC – Business Empowerment” sub-programme, focusing on practical business applications, talent development, and inclusive technology adoption. The initiative will provide targeted support to SMEs, professionals, labour groups, and underprivileged communities through a range of training courses, hands-on application programmes, and industry-academia-research collaboration, promoting AI literacy and the practical deployment of AI technologies.

Professor SUN Dong, JP, Secretary for Innovation, Technology and Industry, officiated at the ceremony, joined by Mr Emil YU Chen-on, BBS, JP, Deputy Chairman of HKPC, and Mr Mohamed Butt, MH, Executive Director of HKPC. The event also brought together representatives from leading international and Chinese Mainland technology enterprises, chambers of commerce, and industry leaders, who shared successful case studies and practical insights, fostering collaboration across sectors to advance Hong Kong’s AI ecosystem.

Professor SUN Dong, JP, Secretary for Innovation, Technology and Industry, said: “AI has become a key factor in global industrial upgrading and driving the development of the digital economy. Helping SMEs to achieve digital transformation and enhance competitiveness through AI is one of the focal points of the ‘AI for All’ inclusive programme. This time, HKPC as the third implementing organisation for the ‘AI for All’ inclusive programme, leverages its years of experience serving businesses to provide targeted and professional support to SMEs, helping them seize opportunities in the AI era. I hope that through the ‘AI for All’ inclusive programme, AI will not only serve as an empowering tool to enhance corporate value and competitiveness but also transform into a super dividend that benefits SMEs and the general public. Let ‘AI for All’ become Hong Kong’s vision for ‘Upgrading for All’ and ‘Opportunities for All’.”

Mr Emil YU Chen-on, BBS, JP, Deputy Chairman of HKPC, said: “AI should not be a privilege reserved for large enterprises. It should become a productivity tool that every business, every employee, and people from all walks of life can leverage. HKPC has long been committed to helping enterprises, particularly SMEs, enhance productivity, drive digital transformation, and convert innovative technologies into tangible business value. We focus on integrating AI technologies across different industries by providing practical, scalable and replicable solutions that support smart transformation. As one of the implementation organisations of the ‘AI for All’ Inclusive Programme, HKPC will centre its efforts on ‘AI with HKPC – Business Empowerment’, connecting Government, industry, academia, technology partners and social service organisations to help enterprises, SMEs, professionals and underprivileged communities acquire AI capabilities and transform AI into real productivity and business value, thereby advancing Hong Kong’s high-quality development and digital inclusion.”

“AI for All” Officially Launches with “Business Empowerment” Series to Drive Widespread AI Adoption

To advance the “AI for All” Inclusive Programme, HKPC has launched the “AI with HKPC – Business Empowerment” training series, centred on practical business applications. Through a two-year training and promotion programme, HKPC will work with technology companies, chambers of commerce, labour groups and community partners to help SMEs, professionals, working individuals, labour organisations, underprivileged groups and the general public acquire AI knowledge and application skills. The initiative aims to accelerate the adoption of AI and support digital and smart transformation across industries, sectors and communities through three key focus areas:

1. Business and Industry Upgrading: Through AI-focused programmes such as “AI+ Industry Boost Training” and “SME AI Connect”, enterprises can rapidly adopt AI technologies to enhance productivity and competitiveness. Key training topics include:

• Practical Applications of Generative AI: Learning how to use generative AI tools for content creation, data analysis, and workflow optimisation.
• AI Applications Across Industries: Exploring how AI enhances efficiency, optimises operations and drives innovation in sectors including education, healthcare, manufacturing, retail and logistics.
• AI Project Workshops: Providing hands-on experience in AI application development and implementation, enabling participants to integrate AI solutions into real business scenarios.

2. Human Resources and Leadership: HKPC will continue conducting the “Hong Kong Enterprise AI Application Trends Survey” and share insights through “AI Talent Winning Tips”, helping organisations understand AI talent management and application trends while preparing for future workforce needs. Key topics include:

• AI and Career Development: Examining the impact of AI on the future workplace and helping professionals understand emerging skills requirements.
• AI Talent Management and Application Strategies: Sharing successful corporate experiences and practical strategies for AI transformation and talent development.

3. AI for ALL: Through the free online learning platform “AI BiteClass”, HKPC will provide convenient AI learning resources for SMEs, professionals, senior citizens and underprivileged communities, enabling people from all backgrounds to access AI fundamentals and the latest application trends anytime, anywhere. Key topics include:

• Introduction to AI Fundamentals: Covering basic AI concepts, operating principles, common use cases and future trends.
• Getting Started with Generative AI: Introducing generative AI tools and their everyday applications.
• AI Ethics and Responsible Use: Building awareness of responsible AI adoption, including issues relating to data privacy, bias and transparency.

“AI BiteClass” Debuts at Launch Ceremony, Bringing Global Technology Expertise to Hong Kong

As part of the launch event, HKPC presented a live edition of the “AI BiteClass”, featuring experts from HKPC and leading global technology companies, including Amazon Web Services (AWS), Google Cloud, Huawei Cloud, Lenovo, Samsung, Tencent Cloud and Microsoft. The sessions shared practical AI techniques and real-world application cases tailored for SMEs. Through concise yet insightful presentations, the guest speakers highlighted the best practices and implementation strategies for AI, demonstrating how businesses can leverage AI to drive growth and enhance operational efficiency.

Looking ahead, the “AI BiteClass” will introduce a range of free online courses covering popular topics such as generative AI, AI agents, workflow automation, data analytics and enterprise transformation. Members of the public will be able to access practical AI learning resources at any time through the online platform or via iAM Smart.

HKPC has long positioned itself as a “technology adopter and enabler”, committed to helping enterprises transform innovation into tangible business value. Since 2024, HKPC has organised more than 600 AI training sessions, serving over 32,000 participants, including SMEs, large enterprises, HR professionals, industry leaders, students, educators and members of the public. These efforts have played a pivotal role in fostering a more competitive AI application ecosystem in Hong Kong.

A series of “AI with HKPC – Business Empowerment” activities will be rolled out progressively. Enterprises and members of the public are welcome to register via iAM Smart and stay updated on the latest programmes. Through collaboration with global technology enterprises, industry organisations and community partners, HKPC aims to bring AI into businesses, workplaces and communities, advancing the vision of “AI for All” while empowering enterprises and co-building Hong Kong’s intelligent future. For details, please visit: https://www.hkpcacademy.org/en/aiforall/

Please download the high-res photos HERE.

Photo Captions:

1. Professor SUN Dong, JP, Secretary for Innovation, Technology and Industry of the HKSAR Government, delivers a speech at the ceremony, sharing the Government’s vision for advancing the “AI for All” Inclusive Programme, accelerating AI adoption and fostering innovation and technology development in Hong Kong.
2. Professor SUN Dong, JP, Secretary for Innovation, Technology and Industry of the HKSAR Government (middle), Mr Emil YU Chen-on, BBS, JP, Deputy Chairman of HKPC (left), and Mr Mohamed Butt, MH, Executive Director of HKPC (right) officiate the HKPC Launching Ceremony of the “AI for All” Inclusive Programme, jointly promoting AI literacy and application.
3. Mr Emil YU Chen-on, BBS, JP, Deputy Chairman of HKPC, says HKPC will help enterprises and talent master AI technologies through the “AI with HKPC – Business Empowerment” series, supporting the transition from AI awareness to practical application.
4. The “AI for All” Inclusive Programme attracts representatives from the business and innovation and technology sectors to explore the latest AI developments and application opportunities.
5. HKPC hosts an “AI BiteClass” sharing session on the day of the Launching Ceremony, inviting technology companies and industry experts to present practical AI experiences and success stories, helping enterprises enhance productivity and competitiveness through AI.

Hashtag: #HKPC

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About the Hong Kong Productivity Council

The Hong Kong Productivity Council (HKPC) is a statutory body established in 1967, dedicated to enhancing the productivity and competitiveness of Hong Kong enterprises through world-class applied R&D, innovative technology services, and integrated manufacturing solutions. As a market-oriented, international R&D organisation, HKPC leverages its deep expertise and extensive industry experience in key areas such as AI, advanced manufacturing, life and health technology, green technology and new energy to drive new industrialisation and support the growth of emerging and future industries.

HKPC focuses on addressing businesses challenges and industrial technology needs, promoting the full integration between technological and industrial innovation. Through technology transfer, product innovation, intellectual property protection and commercialisation of R&D outcomes, the Council fosters collaboration with the local business community as well as top global R&D institutions, delivering added value to industries and advancing the development of new productive forces. HKPC’s world-class R&D achievements have been widely recognised over the years, winning an array of local and overseas accolades, reinforcing Hong Kong’s role as an international innovation and technology centre and a smart city.

To help enterprises capitalise on Hong Kong’s strengths in international connectivity to expand into global markets, HKPC offers comprehensive overseas expansion services tailored to critical areas including product development, technology, manufacturing, and management, enabling businesses to successfully go global from Hong Kong.

HKPC is also committed to providing timely and practical support to SMEs and startups with timely and practical , assisting them in accessing Government funding programmes. Through its FutureSkills training initiatives, HKPC helps both industry and academia stay ahead in latest digital and STEM technologies, nurturing a future-ready talent pool for Hong Kong.

For more information, please visit HKPC’s website: www.hkpc.org/en.

By TN Ashok India has built fighter aircraft, warships, tanks and some of the world’s most sophisticated missiles, but one weakness has repeatedly haunted its defence-industrial ambitions: engines. The country has been able to design and manufacture airframes, yet propulsion technology has remained heavily dependent on foreign suppliers. The latest agreement between the state-owned Hindustan […]

The article HAL-Safran helicopter engine deal: India breaks import trap? appeared first on Latest India news, analysis and reports on Newspack by India Press Agency).

“The less developed a region is, the more it needs to pursue an innovation-driven development strategy.” This message, voiced at the conference, reflects the clear-eyed resolve of a provincial capital city.

That resolve is underpinned by real strengths.

Here, the National Dairy Technology Innovation Centre has shortened dairy-cattle breeding evaluation from four years to just 45 days and cultivated China’s first probiotic strain for infants and young children derived from Chinese breast milk, helping the “Dairy Capital of China” advance towards becoming a global dairy hub. A major scientific facility for aerospace, sky-to-ground, cross-scale metrology, benchmarked against international leaders, is rising in Horinger New District. Inner Mongolia University of Technology has launched the region’s first new-energy industrial large model open to the world. Meanwhile, a domestic enterprise—the only one currently able to produce 4N5 high-purity germanium products consistently—is helping quantum technology and calcium-titanium mineral photovoltaics overcome key raw-material bottlenecks. From a single microbial strain to a beam of light, technological and industrial innovation are converging here and reinforcing one another.

Even more compelling is the city’s tangible commitment.

Municipal fiscal investment in science and technology will double in 2026 and double again in 2027. Newly recognised national-level innovation platforms will receive a one-off research grant of RMB 3 million, while each “Qingcheng Science and Technology Innovation Leading Talent” may receive up to RMB 500,000 in research support. By 2030, Hohhot aims to introduce an additional 10 academicians of the Chinese Academy of Sciences and the Chinese Academy of Engineering, as well as 50 high-level innovation teams. Through a policy approach of “enjoy benefits without application and receive them directly and swiftly”, the city will provide inclusive computing-power vouchers, model vouchers and token vouchers to technology-oriented small and medium-sized enterprises—lowering barriers to innovation and demonstrating the city’s sincerity in supporting innovators.

Openness is a defining feature of Hohhot.

Drawing on the Hohhot Area of the China (Inner Mongolia) Pilot Free Trade Zone, the city is building an international science and technology cooperation base with countries along the Belt and Road. It is also deepening coordination with Beijing’s Haidian District through a “two-hour innovation circle”, exploring a new pathway in which research and development take place elsewhere while results are transformed and applied in Hohhot. Hohhot understands that innovation cannot thrive as an undertaking enclosed behind walls.

Like the Mongolian horse, it is resilient, diligent and determined—never resting until the goal is achieved. This is the character of the city: the breadth and inclusiveness of the grasslands, combined with the courage and pioneering spirit to open northwards, explore new frontiers and put ideas into action.

From the “Dairy Capital of China” to China’s “Cloud Valley”, from the pastures of Chilechuan to the computing-power clusters of Horinger, this green city is becoming a city of innovation.

Hohhot extends an invitation to the world: here there are supportive policies, real-world application scenarios and a genuine commitment to partnership—together with a vast landscape in which to join hands with those who strive and build for the future.

Hashtag: #Hohhot

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As more Middle East drivers move closer to their first EV purchase, familiar SUV proportions, strong performance and practical ownership support could matter as much as the electric powertrain itself.

DUBAI, UAE – Media OutReach Newswire – 27 August 2026 – The Middle East’s EV market is growing quickly, but it remains far from saturated. Electric car sales in the region reached about 75,000 units in 2025, up more than 40% year on year, according to the International Energy Agency[1]. The UAE alone accounted for almost half of regional EV sales, while Saudi Arabia and Qatar together represented nearly 45% of regional demand.

Hashtag: #VinFast

https://me.vinfast.com/en

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• IFPHK x YF Life: Hong Kong–Macau Retirement Expense Indexrises to 131.6 — Monthly Spending Reaches HK$15,090
• Retiree Living Costs Have Risen Nearly 3 Times Faster Than General Inflation Since 2020

HONG KONG SAR – Media OutReach Newswire – 27 August 2026 – The Institute of Financial Planners of Hong Kong (IFPHK), in collaboration with YF Life Trustees Ltd. (YF Life Trustees), today launched the “IFPHK x YF Life: Hong Kong–Macau Retirement Expense Index” (Index). While the Index has been tracking retiree living expenses since its inception in 2020, this year marks the first time IFPHK and YF Life Trustees have partnered to expand the study to cover both Hong Kong and Macau, providing a broader regional benchmark.

The findings show that retiree inflation in Hong Kong has continued to outpace general inflation. The Index rose to 131.6 in 2026, up from 127.0 in 2023 and 100 in 2020, while average monthly spending increased to about HK$15,090 in 2026. On an annualised basis, the Hong Kong Retirement Expense Index grew by more than 5% per annumfrom November 2020 to May 2026, compared with about 1.8% per annum for Hong Kong’s Composite CPI over the same period, showing that retiree living costs have effectively appreciated close to three times faster than Hong Kong’s general Composite CPI over the same period, underscoring how retirement-specific inflation — driven by travel and dining — is materially outpacing headline price trends.

Furthermore, the study reveals that more than 72% of retirees carry at least one regret regarding their retirement preparation. Most commonly, respondents feel they should have started saving or investing earlier and learned about financial planning sooner, while many continue to express concerns about medical costs, inflation, longevity risk and the risk of outliving their savings.

Dr. Paris Yeung, Chief Executive Officer of IFPHK, stated: “The findings show that satisfaction alone does not mean retirees are fully prepared. More than 72% say they have regrets, and the most common regrets point clearly to the need to start saving, investing and planning earlier. At the same time, retiree inflation has been rising faster than headline inflation, which means future retirees need more robust and flexible plans to protect their purchasing power over time. Through this expanded collaboration with YF Life, we aim to provide deeper regional insights to help future retirees plan with greater confidence.”

He added: “Turning regret into action requires starting earlier, integrating healthcare protection into retirement planning, viewing MPF as a steady retirement paycheck, and engaging qualified financial planners to address estate planning gaps. More importantly, retirement planning should shift from a rigid, set-and-forget approach to a flexible plan that adapts to each retiree’s evolving needs—what we call moving from a ‘fixed plan’ to a ‘flexible, evolving strategy’. Our goal is to help future retirees achieve sustainable and wellplanned golden years.”

Mr. Alvin Tse, Chief Executive Officer of YF Life Trustees, stated: “As the exclusive Project Sponsor of this expanded regional study, YF Life is proud to collaborate with IFPHK on this critical benchmark for Hong Kong and Macau. The 2026 data clearly shows that while retirees desire active lifestyles, they are heavily squeezed by medical inflation and the fear of outliving their wealth. To bridge this gap, retirees must shift away from viewing retirement savings as a static lump sum. By maximizing the flexibility of the MPF through phased withdrawals and mixed-asset strategies, alongside pairing them with lifetime annuity-style income streams and robust medical protection, individuals can effectively convert accumulated assets into a predictable, lifelong paycheck. True financial peace of mind comes from building an integrated fortress that safeguards against both market volatility and longevity risk.”

Key Highlights of the Study:

• Retiree Inflation Has Outpaced General Inflation: The Index rose from 100 in 2020 to 131.6 in 2026, with average monthly retiree expenses increasing to about HK$15,090 and the Index growing at more than 5% per annum versus about 1.8% for Hong Kong’s Composite CPI for the same period. This escalation is driven partly by travelling and cross‑boundary transport—with roughly four out of five retirees visiting GBA Mainland cities and spending about RMB 1,100 per trip. This suggests that general inflation figures may understate retirees’ actual cash‑flow needs, highlighting the importance of planning for inflation‑protected retirement income and periodically rebasing budgets using a retiree‑specific living expense index rather than general CPI so they can maintain their intended post‑retirement lifestyle.
• Retirees’ Satisfaction Masks Ongoing Financial Anxiety and Planning Gaps: Although many retirees report being satisfied with their current retirement life, concerns remain widespread, with 51% worrying about unexpected medical expenses, 41% about inflation and 77% still lacking any form of estate or asset planning. This suggests that retirees should turn present satisfaction into future resilience by building healthcare and contingency reserves, setting clear drawdown rules to manage longevity risk, and putting in place basic estate and incapacity documents such as wills, enduring powers of attorney and advance directives well before potential health or family crises arise.
• Conservative Spending but Widespread Regret—Especially Among Asset‑Rich Retirees
  Actual retirement spending remains conservative, with average retirement expenses in 2026 equal to about 49% of pre‑retirement income. Yet more than 72% of retirees say they would have done something differently in preparing for retirement, most notably saving or investing earlier, learning financial planning earlier and communicating more openly with family about money and care needs. This pattern emphasizes that future retirees should start disciplined saving, investing and family financial discussions much earlier, even when their asset position appears comfortable.
• MPF Transitioning Toward Income Support: While most eligible retirees still treat MPF as a lump sum, with about 76% having fully withdrawn their benefits in 2026, the scheme is gradually shifting toward an income‑support role, as 22% now use MPF to fund monthly expenses, up from 12% in 2023. Retirees are encouraged to treat MPF as part of a structured retirement income strategy, considering phased withdrawals, annuity‑style income solutions, and planned drawdowns rather than a single cash‑out, converting accumulated MPF assets into a more predictable and sustainable retirement paycheck.

Hashtag: #IFPHK #YFLife #RetirementPlanning

The issuer is solely responsible for the content of this announcement.

About “IFPHK x YF Life: Hong Kong–Macau Retirement Expense Index”

The “IFPHK x YF Life: Hong Kong–Macau Retirement Expense Index” was jointly launched in 2026 by the Institute of Financial Planners of Hong Kong (IFPHK) and YF Life Insurance International Limited. Since 2020, the Index has been the only long-term, retirement-specific benchmark tracking retirees’ actual living expenses. As the first study of its kind by IFPHK, the Index tracks and measures long-term changes in retirees’ actual living expenses with reference to the Composite Consumer Price Index (CPI) and the expenditure weightings published by the Government.

In the Hong Kong survey conducted in June 2026, NielsenIQ (NIQ) interviewed 304 retirees aged 55 to 74 with monthly personal income of at least HK$20,000 before retirement and not receiving means-tested social security or charitable support.

About IFPHK

IFPHK was established in June 2000 as a non-profit organization for the fast–growing financial industry. The Institute is the sole licensing body in Hong Kong authorized by Financial Planning Standards Board Limited to grant the much-coveted and internationally recognized CFP® certification and AFP® certification to qualified financial planning professionals in Hong Kong and Macau. Currently there are more than 236,000 CFP certificants in 29 regions; the majority of these professionals are in the U.S., China, Japan, Canada and Brazil. As at 28 February 2026, Hong Kong had approximately 3,238 CFP certificants.

At present, IFPHK has 5,298 members in Hong Kong including 956 Qualified Retirement Adviser (QRA) holders; and represents financial planning practitioners in diverse professional backgrounds such as banking, insurance, independent financial advisory, stock broking, accounting, and legal services.

About YF Life Trustees Ltd. & YF Life

YF Life Trustees is a member of YF Life Insurance International Limited (YF Life), and was among the first group of institutions approved as a Mandatory Provident Fund (MPF) scheme trustee. The company specializes in providing MPF services and is committed to creating long-term value for its scheme members.

The major indirect shareholders* of YF Life Insurance International Limited (“YF Life”) include Massachusetts Mutual Life Insurance Company (“MassMutual”), which itself has over 170 years of experience and is one of the Five Largest US Life Insurance Companies**, as well as Yunfeng Financial Holdings Limited, among others. YF Life is a long-term strategic partner of Barings. We stay at the forefront of Hong Kong’s insurance industry with our superior global investment capabilities, extensive partnership network, and fintech innovation.

* MassMutual and Yunfeng Financial Holdings Limited have indirect shareholdings in YF Life.
** The “Five Largest US Life Insurance Companies” are ranked according to the results of “Insurance: Life, Health (Mutual)” and “Insurance: Life, Health (Stock)”on total revenues for 2025, and based on the FORTUNE 500 as published on June 3, 2026.

Quarterly Profitability: A Rare Milestone in Hong Kong’s AI Sector

In capital markets, ambitious visions must ultimately be backed by real financial performance—and Deepexi’s interim results provide clear proof of execution.

For the first half of 2026, the company generated RMB 284.0 million in total revenue, marking a 115.0% year-over-year increase. Its AI business served as the primary growth engine, contributing RMB 226.0 million—an impressive 209.2% year-over-year surge—bringing AI revenue to 79.6% of total corporate turnover.

Even more noteworthy is the marked improvement in profitability. First-half gross profit reached RMB 160.0 million, up 120.5% year-over-year, with gross profit margin expanding to 56.5%. Crucially, during the second quarter of 2026, Deepexi posted a standalone quarterly net profit of approximately RMB 30.1 million, officially crossing the breakeven threshold.

In Hong Kong’s technology sector, pure-play enterprise AI companies capable of achieving quarterly net profitability while sustaining high R&D investment remain exceptionally rare. This milestone underscores Deepexi’s operational efficiency, scalable software delivery, and self-sustaining monetization engine.

This scarcity value is equally evident in the company’s revenue composition and vertical reach. Industrial manufacturing accounted for more than 50% of total revenue, while retail and consumer goods contributed 30%, alongside expanding footholds in healthcare and smart transportation. In manufacturing, for example, equipment troubleshooting and predictive maintenance involve dense engineering schematics, real-time IoT sensor telemetry, and extensive historical maintenance logs—all of which Deepexi translates into structured logic that AI models can readily interpret. This deep vertical expertise and proprietary data accumulation create a formidable competitive barrier that general-purpose AI vendors cannot easily match.

Beyond the “SaaSpocalypse”: Deepexi’s AI-Native Platform Defies the Software Valuation Reset

The first quarter of 2026 witnessed what market observers have dubbed the “SaaSpocalypse”—a tectonic shift in which approximately $2 trillion in market capitalization was erased from B2B software equities, driven by a fundamental fear that agentic AI would cannibalize the traditional per-seat licensing model. The iShares Expanded Tech-Software ETF (IGV) plunged nearly 21% year-to-date, and enterprise software multiples (EV/Sales) cratered from a 5.6x average at the end of 2025 to 4.2x by mid-March.

Investors have pivoted decisively toward AI-native infrastructure—companies that manage the data and underlying plumbing of autonomous systems—while penalizing traditional application-layer SaaS vendors reliant on human-centric interfaces. As a recent Windsor Drake analysis notes, “AI-native agentic platforms clear 14x to 22x revenue, with private rounds at 20x to 30x,” while legacy standalone RPA trades at just 2.5x to 5x. The market is now rewarding AI-native architecture and measurable workflow ownership.

Deepexi sits squarely on the winning side of this divergence. Unlike traditional SaaS vendors whose revenues are tied to human seat counts—and thus vulnerable to agentic displacement—Deepexi’s token-based, consumption-driven model aligns directly with the agentic AI future. The company’s DeepWorks enterprise Agent platform does not sell per-seat licenses; it sells AI productivity, enabling enterprises to deploy autonomous agents that replace repetitive administrative work, not software seats. As the market shifts from “AI as a feature” to “AI as a replacement,” Deepexi’s business model is structurally insulated from the seat-compression forces that have punished legacy software vendors.

Focus on Enterprise AI Applications and Proprietary Domain Data

To ensure AI truly meets real-world enterprise demands, generic foundational models are insufficient on their own. Deepexi’s core competitive edge lies in its specialized “Data + AI” dual-engine architecture, anchored by the FastData enterprise data intelligence platform, the FastAGI agentic AI suite, and the Deepexi Enterprise Large Model Platform, supported by its proprietary Deepology ontology dataset containing over 2,000 vertical industry skills.

At the foundational layer, the FastData platform—powered by the FastData Foil fusion engine—acts as an intelligent lakehouse that tokenizes structured, semi-structured, and complex unstructured enterprise data into standardized formats ready for large model training and inference. Building upon this data foundation, the FastAGI platform and DeepWorks Enterprise Agent Platform provide organizations with a flexible, modular AI operating system.

Featuring a pluggable architecture, the platform connects seamlessly to leading open-source foundation models such as DeepSeek and Zhipu AI, giving enterprise clients complete autonomy while eliminating vendor lock-in. This “model-agnostic” approach is a key differentiator in an environment where enterprises increasingly demand flexibility to choose the best model for each use case, rather than being locked into a single provider.

Through native Model Context Protocol (MCP) frameworks and specialized agents—ranging from operational decision-making agents to productivity and autonomous workflow execution agents—Deepexi embeds intelligence directly into core business operations. DeepWorks is fully integrated with mainstream workplace collaboration suites such as DingTalk, Feishu, and Tencent Meeting, allowing employees to summon AI copilots directly for automated weekly reporting, data synthesis, and cross-departmental coordination—effectively turning AI into an indispensable daily productivity tool.

In an enterprise AI market where 42% of organizations already have AI agents in production and 72% are deploying across production and pilots combined, Deepexi’s proven, governed agentic workflows are no longer an experiment—they are core infrastructure.

Strategic Partnership with Huawei Cloud: Tackling Compute and Data Bottlenecks

In the commercialization of enterprise AI, computing costs and access to high-quality domain data represent two of the industry’s most critical bottlenecks. On August 12, Deepexi announced a strategic alliance with Huawei Cloud to jointly launch enterprise data intelligence solutions, providing strong operational backing for the company’s long-term expansion.

The partnership combines the complementary strengths of both technology leaders. Huawei Cloud provides underlying Ascend AI computing clusters and distributed cloud infrastructure, while Deepexi brings its deep expertise in enterprise data governance, data tokenization, and vertical AI agent deployments. By integrating with Huawei’s domestic Ascend compute clusters, Deepexi not only secures stable, long-term computing power but also significantly drives down token processing costs. This cost efficiency establishes ideal conditions for exploring usage-based, token-metered commercial billing models—precisely the kind of consumption-based pricing that aligns with the agentic AI future.

Crucially, falling AI costs are widely expected to accelerate enterprise adoption of autonomous agents. Deepexi’s partnership with Huawei Cloud positions the company to capture this demand wave with a cost structure that improves as token volumes scale—a powerful margin-expansion dynamic that stands in stark contrast to the fixed-cost burden of traditional SaaS.

Strong Institutional Backing Highlights Long-Term Investment Value

Reflecting strong capital market confidence, Deepexi announced on August 17 the successful placement of 14,286,000 new H-shares at HK$35.00 per share, raising net proceeds of approximately HK$488.0 million. Successfully closing a sizeable placement amid broader market volatility demonstrates strong institutional recognition of Deepexi’s proven business model, robust unit economics, and profitability trajectory.

The company’s strategic shareholder structure provides a solid foundation for long-term growth. It is supported by prominent independent investors, including Hillhouse, 5Y Capital, and BAI, as well as industry-focused investors such as Shanghai AI. These partnerships enhance Deepexi’s industry reputation, drive technological innovation, and strengthen its market competitiveness.

The newly raised funds are earmarked primarily for continuous R&D in next-generation enterprise agent systems and token productivity platforms—positioning the company to capture the $206.5 billion AI agent software market projected for 2026, which Gartner expects to grow to $376.3 billion in 2027.

Investment Thesis: Why Deepexi Stands Apart

1. AI-Native Architecture in an Agentic World. Unlike legacy SaaS vendors facing seat compression, Deepexi’s token-based model is structurally aligned with the agentic AI future. The company doesn’t sell software seats—it sells AI productivity.

2. Rare Profitability in Enterprise AI. Quarterly GAAP profitability at a 56.5% gross margin, with projected revenue CAGR of 95.5% through 2027, places Deepexi among the most financially disciplined enterprise AI companies globally.

3. Model-Agnostic, Vendor-Neutral Platform. In an environment where enterprises demand flexibility, Deepexi’s pluggable architecture—supporting DeepSeek, Zhipu, and other open-source models—eliminates lock-in and captures value regardless of which foundation model wins.

4. Proprietary Data Moat. With over 2,000 vertical industry skills and deep expertise in manufacturing, retail, healthcare, and transportation, Deepexi’s domain-specific data capabilities create barriers that general-purpose AI vendors cannot replicate.

5. Strategic Compute Partnership with Huawei Cloud. Long-term, cost-effective compute access, combined with token-metered pricing models, positions Deepexi for sustained margin expansion as token volumes scale.

6. Institutional Validation. Backing from top-tier investors and a successful HK$488 million placement amid market volatility signal strong institutional confidence in Deepexi’s business model and growth trajectory.

The enterprise AI market has decisively shifted from early conceptual exploration into a new era of commercial execution and tangible financial delivery. Backed by mature product suites across FastData and FastAGI, proprietary vertical ontologies, strategic cloud partnerships, and an official transition to net profitability, Deepexi Technology has proven that enterprise AI can deliver both transformative technology and sustainable profits.

Hashtag: #DeepexiTechnology

The issuer is solely responsible for the content of this announcement.

About Deepexi Technology

Deepexi Technology is China’s leading provider of enterprise large model AI application solutions. Through its FastData enterprise data intelligence solution and FastAGI enterprise AI solution, it empowers enterprises to integrate their data, decisions and operations efficiently at scale. Deepexi ranked fifth in China’s enterprise large model AI application solution market in terms of revenue in 2024. Its solutions have achieved large-scale commercialization across multiple verticals, including consumer goods, manufacturing, healthcare and transportation. As of June 30, 2025, Deepexi Technology served a cumulative total of 283 enterprise customers across various industries.

This press release contains forward-looking statements that involve risks and uncertainties. Actual results may differ materially from those projected. The company undertakes no obligation to update any forward-looking statements.

The Group continued to accelerate the large‑scale commercial deployment of its AI capabilities, building system‑level AI capabilities around the framework of “one model system, one Token Factory, and one Agent Harness” to advance AI from intelligence generation toward end‑to‑end task execution and transform these capabilities into scalable commercial value.

Dr. Xu Li, Chairman of the Board and CEO of SenseTime, said: “SenseTime’s three-pillar core capability framework, built around ‘one model system, one Token Factory, and one Agent Harness’, uses a unified model system to continuously push the boundaries of intelligence, leverages infrastructure and optimization capabilities to reduce Token costs and strengthen cost‑based pricing power, and deploys agents deeply integrated into enterprise and individual workflows to deliver complete task execution capabilities. This framework enables SenseTime to move beyond pure price competition and create sustainable commercial value through differentiated technologies and services. At the same time, it allows us to expand our user base, drive recurring revenue growth, and lay a solid foundation for the Group’s high‑quality development.”

One Model System: Advancing Native Multimodal Intelligence and Long‑Horizon Agents with Global Leading Performance

In 2026, SenseTime released a series of models at a rapid pace, spanning native multimodal unification, visual perception and reasoning, controllable generation, long‑horizon agents, spatial intelligence, and physical world models. These included the NEO‑Unify architecture; SenseNova U1, U1.5 and U1.5‑Lite; SenseNova Vision; the office‑focused multimodal agent SenseNova 6.8‑Flash‑Lite; the content creation model SenseNova U1‑Pro; the spatial intelligence model SenseNova SI‑8B; and the Kairos 3.1 world model co‑developed with Ace Robotics. Across multiple core benchmarks, these models matched or outperformed leading international models, including Gemini, GPT, and DeepSeek. Less than four months after the U1 series was open‑sourced, the three projects had collectively garnered more than 11,000 stars on GitHub.

SenseTime is advancing from digital intelligence toward physical AGI through the closed‑loop framework of “architectural innovation, system capabilities, and high‑value delivery,” continuously translating technological breakthroughs into real-world applications and commercial value.

Token Factory: Upgrading from Compute Provisioning to Scaled Intelligence Production

SenseTime’s SenseCore is evolving into a production‑oriented Token Factory. Through integrated model and infrastructure optimization, as well as capabilities in model adaptation, inference optimization, heterogeneous scheduling, energy management and global service delivery, the Token Factory not only expands Token output and lowers unit costs, but also continuously enhances the reasoning, understanding, generation, and execution capabilities embedded in each Token.

In July 2026, SenseCore delivered an average daily Token service volume of 2.4 trillion, representing a YoY increase of approximately 22 times. As of the date of this announcement, the Group’s total deployed computing power had reached 48,000 Petaflops (P).

The Token Factory provides strong support for SenseTime in advancing the performance boundaries of its foundation models and scaling their commercial deployment. It has tripled the training speed for long‑context Agent models, increased image and video generation efficiency sixfold, improved reinforcement learning training efficiency, and shortened the cycle from model R&D validation to large‑scale deployment to just one week. In addition to supporting the SenseNova foundation model, the Token Factory now serves four external foundation model providers, establishing differentiated capabilities across high‑complexity computing domains, including AI for Science (“AI4S”), video generation, embodied intelligence, world models, and city‑level intelligent applications.

In addition, the Group remains committed to advancing the domestic compute ecosystem, increasing the MFU (Model Floating‑Point Utilization) of mainstream domestic chips by up to 2.5 times compared with the baseline levels established by chip manufacturers. SenseNova U1 has achieved Day 0 adaptation across more than ten domestic chip platforms.

Through compute‑energy synergy, the Company continues to reduce the unit cost of intelligence. During the Reporting Period, its Compute‑Energy Synergy Agent achieved load forecasting accuracy of 96% and generated cumulative electricity cost savings of more than RMB12 million. For every 10,000P of computing power, annual carbon emissions were reduced by 24,000 tons.

Agents Accelerate Adoption Across Enterprise and Consumer Markets, Delivering Value Through Workflow Integration and Enhanced Everyday Experiences

Building on its model and Token capabilities, SenseTime connects models, knowledge, tools, and workflows through a unified Agent Harness, transforming underlying AI capabilities into end-to-end task delivery solutions for enterprise and individual users.

The Group’s agents are rapidly expanding across both enterprise and personal workflows. During the Reporting Period, they served more than 1,000 enterprise customers across over 20 key industries, including education, government, marketing, logistics, banking, and insurance. The Office Agent, Raccoon, has served major enterprises including Lenovo, Ping An Technology, China’s three major telecommunications operators, JD.com, and Kylin Software. Total users increased more than fivefold YoY, enterprise users grew more than sixfold, and monthly active users on the cloud platform increased nearly tenfold. In addition, the video‑generation agent Seko reached a daily video production volume of 10,000 minutes. Content created on the platform has amassed an estimated 1.5+ billion views across short‑video platforms, including 10 short-form dramas that have each surpassed 100 million views. AI productivity solutions are also expanding beyond large organizations to serve smaller teams and One‑Person Companies (OPCs). In the consumer market, the Kapi series of agents, covering use cases such as health, finance, and content creation, has surpassed 45 million cumulative users.

Computer Vision remains a strategic gateway for the Group’s expansion into industry verticals and overseas markets. During the Reporting Period, revenue from the business reached RMB500 million, accounting for approximately 17% of the Group’s total revenue. The business extended across more than 20 countries and regions and served more than 4,500 customers worldwide, with recurring customers contributing 67% of revenue.

Bridging Digital and Physical Intelligence, Unlocking Ecosystem Value

SenseTime continued to invest in frontier areas, including world models and embodied intelligence, intelligent terminals, smart healthcare, and chips. The increase in the valuation of certain AI ecosystem investments generated fair‑value gains, contributing to the Group’s first‑ever IFRS profit and reflecting the gradual realization of financial value from our ecosystem assets. Beyond short‑term investment returns, the more significant long‑term value of these ecosystem investments lies in enabling the Group gain early access to frontier domains, continuously acquire real‑world tasks, data, and feedback, and further strengthen SenseTime’s unified multimodal models and system‑level delivery capabilities.

SenseTime is deepening its “Three-pillar Framework”: one model system to raise the ceiling of intelligence and expand agents’ ability to handle complex tasks; one Token Factory to improve quality and efficiency, reduce costs, and enhance global delivery capabilities; and one Agent Harness to integrate multimodal models with the Token Factory, enabling AI to complete end‑to‑end tasks in real-world scenarios.

Looking ahead, SenseTime will continue to advance the iteration of multimodal agents, driving the evolution of the Token Factory from pricing based on Token volume to pricing based on task outcomes. The Group will also deepen the application of multi‑agent collaboration across enterprise, individual, and OPC workflows, delivering efficient and reliable productivity solutions to users.

Hashtag: #SenseTime

The issuer is solely responsible for the content of this announcement.

About SenseTime

Founded in 2014, SenseTime is a leading artificial intelligence (AI) software company, committed to its mission of “creating a better AI-empowered future through original innovation”. The Company continues to lead cutting-edge AI research while accelerating the large-scale commercialization of AI technologies.

Leveraging deep academic expertise and strong in-house innovation capabilities, SenseTime continues to enhance its industry-leading multimodal, multi-task general AI capabilities, while fostering a vibrant developer ecosystem through structured open-source initiatives.

SenseTime’s business spans Generative AI, Vision AI, and emerging innovation-driven segments. Underpinned by SenseCore, its next-generation AI infrastructure, the Company integrates computing power, algorithms, and platforms to enable scalable AI deployment. Building on this foundation, SenseTime has developed the SenseNova foundation model series, delivering cost-efficient capabilities across a wide range of general AI tasks. SenseTime continues to lead the global Vision AI market, ranking No.1 worldwide by market share. Its SenseFoundry platform integrates years of accumulated computer vision expertise with advanced multimodal foundation models, providing stable and efficient Vision AI solutions to industries worldwide.

SenseTime is listed on The Stock Exchange of Hong Kong, with operations spanning more than a dozen countries and regions.

Founder Jack Ma bought more than HK$600 million worth of Alibaba’s Hong Kong-listed shares over consecutive trading days, while chairman Joe Tsai and chief executive Eddie Wu together purchased more than HK$200 million of stock. The buying helped shares recover modestly after the placement triggered their sharpest setback in months, but the stock remained well below levels preceding the deal.

Alibaba priced 710 million new shares at HK$112.70 each, raising HK$80 billion, or about $10.2 billion. The price represented an 8.4% discount to the August 21 Hong Kong close of HK$123 and increased the company’s outstanding share count by roughly 3.7%.

Hong Kong-listed shares slumped 8.5% on August 24, closing at HK$112.50 after trading as low as HK$110.10. They recovered 1.5% to HK$114.20 on Tuesday as purchases by senior executives became known, leaving them still more than 7% below the price immediately before the placement was announced.

The transaction has become a test of whether investors will continue financing increasingly expensive AI expansion despite the near-term pressure it places on earnings and cash generation. Alibaba has earmarked all net proceeds for its full-stack AI capabilities, covering computing infrastructure, chips, models and other technologies required to expand its cloud and generative AI businesses.

Demand for the offering itself was strong. Investor orders reached roughly $28 billion, making the placement almost three times subscribed. Sovereign wealth funds and long-only institutional investors accounted for a sizeable portion of allocations. The deal ranks as the largest primary follow-on share offering by a Hong Kong-listed company.

The discomfort instead centres on the scale and timing of Alibaba’s capital requirements. The company spent close to $10 billion on capital expenditure during the three months through June, an increase of about 75% from a year earlier. Net profit dropped about 75%, while free cash flow turned into an outflow of roughly $6.6 billion.

Alibaba has already deployed almost half of the 380 billion yuan it pledged last year to spend on AI and cloud infrastructure over three years. Management has argued that rapidly growing demand justifies accelerating investment and has shortened its expected payback period for AI expenditure to about two-and-a-half years from three years.

That argument is supported by Alibaba Cloud’s accelerating expansion. Revenue from the cloud business has been growing strongly, helped by demand for AI-related products, while the company continues to build computing capacity overseas. Alibaba Cloud this month opened a third data centre in South Korea, taking its network to 104 availability zones across 30 regions.

Its Qwen family of large language models has also strengthened Alibaba’s position among leading Chinese AI developers. New iterations have improved performance in coding, reasoning and agent-based tasks, helping the company compete with models from domestic rivals and leading US technology groups.

Investors nevertheless face a difficult balance between the longer-term AI opportunity and the immediate financial cost. Expensive processors, servers, data centres and networking equipment require large upfront commitments, while competition is pushing model providers towards lower prices. Alibaba is simultaneously spending heavily on quick commerce and other consumer businesses, adding pressure to margins.

The share sale has also revived scrutiny of capital allocation. Alibaba spent years repurchasing billions of dollars of its own shares, only to issue new equity at a sizeable discount as AI spending accelerated. Although the company still has substantial cash resources, investors have questioned why such a large equity raising was preferable to greater use of its balance sheet or debt financing.