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SINGAPORE – Media OutReach Newswire – 27 October 2026 – Singapore fashion label Anmako has launched the SEISO Collection, a new range of occasion wear in Singapore designed for weddings, celebrations, formal events and professional settings.

Officially launched on 21 August 2026, the collection takes its name from the Japanese term 「正装」, meaning “formal wear”, reflecting its focus on clothing for special occasions.

The collection was developed in response to customer demand for occasion wear, particularly for clothing suited to weddings, anniversaries and other significant events. It also expands the brand’s existing range, which covers everyday, holiday and formal wear.

The SEISO Collection incorporates heritage-inspired fabrics and silhouettes into contemporary designs. Traditional elements have been retained and adapted to create pieces intended to remain relevant beyond a single season.

“The SEISO Collection elevates our signature designs and craftsmanship into a more refined collection created especially for formal and meaningful occasions,” said Eiko Sumantri, Director of Anmako.

Batik Tulis Features Across the Collection
Batik Tulis is one of the main materials used in the SEISO Collection. Anmako’s batik fabric is mainly produced in Pekalongan and Cirebon, with many pieces made in limited quantities or as one-of-a-kind designs.

The collection also includes Batik Tulis Prada, a type of Batik Tulis featuring gold detailing. SEISO is also the brand’s first collection to include Natural Dye Batik Tulis.

Produced using plant-based dyes, the natural-dye fabric appears in softer shades such as smoky green and blue. It is used in the Batik Tulis Natural Dye Dress, providing a more understated contrast to the brighter colours found in some of the cotton-and-silk Batik Tulis pieces.

Contemporary Adaptations of Traditional Silhouettes
Several designs in the collection reinterpret traditional garment forms for contemporary use.

The Sarong Skirt takes inspiration from the traditional sarong but uses a back zip instead of a wrap-and-tie construction. This allows the skirt to retain the overall appearance of a sarong while making it easier to wear.

The Batik Tulis Cotton/Silk Cheongsam Dress expands on Anmako’s approach to the batik cheongsam by combining a cheongsam silhouette with Batik Tulis fabric. The cotton-and-silk blend gives the material a subtle sheen compared with pure cotton, making it more suited to formal occasions.

The collection also includes the White/Gold Lace Dress, which differs from many of Anmako’s existing designs as it uses neither batik nor Japanese fabric. The dress features a clean silhouette with gold detailing, adding another option to the SEISO range.

Most of the occasion wear pieces in the SEISO Collection are one of a kind.

Designed for a Range of Formal Occasions
Anmako developed SEISO for customers looking for occasion wear for weddings, graduation ceremonies, conferences, important meetings, festive celebrations and other significant occasions.

The designs have also been kept relatively timeless so that they can be worn beyond a single event or season. Through the collection, Anmako continues to incorporate traditional textiles and garment influences into clothing made for contemporary use.

“We developed SEISO in response to customers looking for distinctive occasion wear pieces for weddings, anniversaries and other special occasions,” said Eiko. “It gave us an opportunity to bring the fabrics and craftsmanship associated with Anmako into a collection created specifically for these moments.”

The SEISO Collection is available at Anmako’s store on Level 3 of Takashimaya and through the Anmako online store, with prices ranging from S$229 to S$899.

The collection will remain available throughout the rest of 2026 and through the Chinese New Year period in 2027.Hashtag: #Anmako

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

About Anmako

Anmako is a Singapore fashion label inspired by the city’s lifestyle and cultures. Its collections include clothing for everyday wear, holidays and formal occasions, with a focus on distinctive fabrics, craftsmanship and contemporary interpretations of traditional design.

300+ AI Applications Delivering Surges in Core Metrics and Annual Cost Reduction of Over CNY100 Million (Approx. US$15 Million)

NANJING, CHINA – Media OutReach Newswire – 26 October 2026 – Nanjing Iron & Steel Co., Ltd. (NISCO) has worked with Huawei and ecosystem partners to commercially deploy the world’s first steel model powered by swarm intelligence—the YuanYe Steel Large Model (YuanYe)—across multiple scenarios at scale. This helps NISCO transition its core operations from relying on experience to being powered by data and intelligence collaboration.

As a traditional manufacturer navigating the challenges of transformation and cost efficiency, NISCO has built a robust digital and intelligent foundation by adopting industry-leading products including Ascend, Kunpeng, Huawei Cloud Stack, and Pangu models. By embedding AI into every core stage of production—ironmaking, steelmaking, rolling, and quality inspection—NISCO is forging green and high-end AI-powered super steel plants.

Unlike general-purpose monolithic models, YuanYe innovatively fuses multiple AI models with the steel industry’s metallurgical mechanism models to create a dual-drive, multi-model cluster architecture. This architecture features a “right brain” for probabilistic computing and a “left brain” for precise and scientific decision-making. Powered by massive amounts of sensing data aggregated from millions of operational technology (OT) data points across 26 business domains, NISCO has achieved real-time digital twin mapping within its intelligent operations center, laying solid data and scenario foundations for YuanYe. This enables the entire steelmaking process to become not only visible, but also capable of precise control and intelligent assessment. Now 100% of NISCO’s key equipment is connected and digitally controlled and its new product R&D cycles have been shortened by 50%, reducing annual costs by over CNY100 million (approx. US$15 million).

As the model continues to iterate, NISCO had launched 25 business agents by October 2026. These agents cover a wide range of scenarios, from visual quality inspection and process optimization to production scheduling and operations management, setting a new benchmark for digital and intelligent steel transformation.

Breakthroughs in four core scenarios: YuanYe redefines traditional operations for significant safety, efficiency, and quality gains

• In the ironmaking stage, AI makes traditionally invisible blast furnaces transparent. YuanYe leverages blast furnaces’ internal sensor data and metallurgical mechanism analysis to perform real-time dynamic simulations of the ironmaking process. Assisted by furnace temperature prediction and health diagnosis models, furnace operators can predict temperatures and identify issues two hours in advance, with over 90% accuracy. This shifts furnace operations from reactive post-event remediation to proactive pre-control, increasing prime-grade molten iron yield by over 10% while significantly cutting unit energy consumption.
• In the rolling stage, AI drives precise predictions and codifies expert experience to enhance the operational stability of steel rolling and secure leadership in product quality. To tackle the highly dynamic and complex operating conditions during the rolling process, YuanYe’s rolling-force prediction model achieves millisecond-level response, narrowing the thickness tolerance to ±0.2 mm and reducing the steel thickness deviation to 1.9% to reach a world-leading standard. The rolling-force hit rate has jumped from 88% to 98%, supporting a steady annual output of over 2.5 million tons of steel plates and increasing the overall yield rate by 0.5%. Enhanced dimensional precision and physical-chemical stability allow NISCO’s products to meet demanding steel specifications across diverse applications, ranging from mega stadiums and oil pipelines to 10,000-ton cruise ships and LNG storage tanks.

• In quality inspection, the synergy between robots and AI models serves as a discerning “eagle eye”, doubling metallographic inspection efficiency. During metallographic inspection for finished steel, the integrated smart metallographic inspection system built on YuanYe has achieved full-process automation, covering sample grinding and polishing, image acquisition, and smart grading. Inspection accuracy has risen to over 95%, while per-sample inspection time has been shortened from 10 minutes down to 3–5 minutes. This 80% increase in overall inspection efficiency frees human operators to focus on anomaly analysis and high-level decision-making.
• In the energy and environmental control stage, NISCO leverages the YuanYe architecture to develop the S-Link Intelligent Agent for Gas and Flue Gas Sulfur Control. Integrating 602 process parameters alongside multi-modal image and knowledge capabilities, the agent achieves a smart closed loop across source prediction, process optimization, and end-of-pipe compliance. By combining mechanism inversion with time-series forecasting, it issues precise sulfur-risk warnings one hour in advance, achieving a sulfur prediction accuracy of over 95%. Operational optimization algorithms then calculate the optimal gas blending scheme within seconds. Finally, game-theoretic models dynamically allocate emission quotas, slashing natural gas co-firing consumption by nearly 50%. This has reduced downtime caused by emission exceedance by over 25%, and delivered more than CNY600,000 (approx. US$90,000) in annual economic benefits—securing both environmental compliance and drastic cost reduction.

From automating labor to empowering people: Defining a new paradigm of inclusive AI

Li Jinyan, General Manager of the Digital and Intelligent Integrated Development Department and Director of the AI Research Institute at NISCO, said: “Digital and intelligent transformation is inherently human-centric. Its purpose is not to replace people, but to unleash human potential. Our goal is to lift employees out of the endless sea of data, empowering them to direct their creative energy toward work of higher value.” To date, NISCO has deployed over 300 AI models across its plants, alongside more than 1,000 low-code agents and lightweight applications built independently by frontline employees.

As Cheng Yongfu, Senior Industrial Solution Expert at Huawei’s Steel & Non-ferrous BU, noted: “The real value of industrial AI can only be realized when it expands from single-point applications to comprehensive integration with production, operations, and management, which can unlock sustained, scalable empowerment.”

Looking ahead, as model deployment expands and computing demands continue to grow, NISCO will team up with Huawei and other partners to explore the construction of dedicated data centers for smart steel plants. Centered on the AI-native three-tier architecture (AI-native OS, AI-native factory, and AI-native enterprise) and powered by the YuanYe model, NISCO is accelerating high-quality steel development, aiming to provide a replicable and scalable benchmark for the digital and intelligent transformation of the global steel and manufacturing industries.

Hashtag: #Huawei #NISCO

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

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The article Lula’s Historic Win In Brazilian Election Is A Major Boost To Latin American Left appeared first on Latest India news, analysis and reports on Newspack by India Press Agency).

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Nine exchange-traded funds widely associated with the country’s so-called national team recorded combined net inflows of 128.7 billion yuan ($19 billion) during the week ending 23 October. The total was the highest since nearly 140 billion yuan entered the same closely watched group during the tariff-driven market turmoil 18 months earlier.

The surge followed a punishing decline in mainland shares that pushed the CSI 300 benchmark into bear-market territory, conventionally defined as a fall of at least 20% from a previous peak. Investors have been monitoring large purchases of index-tracking funds for indications that state-backed institutions are seeking to contain further losses.

The figures measure money entering funds favoured by official investors rather than confirmed purchases by government-controlled entities. No public announcement has established how much of last week’s inflows came directly from the state, making the scale of official intervention difficult to determine precisely.

Central Huijin Investment, a unit of sovereign wealth fund China Investment Corporation, is among the principal institutions associated with market stabilisation. Its investment activity has become an important signal for traders attempting to assess Beijing’s willingness to support share prices during periods of intense volatility.

The latest inflows were concentrated in exchange-traded products offering exposure to broad mainland equity benchmarks. Such vehicles enable institutions to acquire diversified holdings quickly, directing demand towards major listed companies without having to purchase individual shares separately.

Thursday’s trading illustrated the pressure facing authorities. The CSI 300 fell into a bear market as persistent selling overwhelmed earlier signs of institutional support. Funds favoured by state investors attracted approximately 46 billion yuan that day, highlighting the contrast between substantial new subscriptions and continuing weakness in underlying shares.

Friday brought a partial reversal. The CSI 300 finished 1.7% higher at 4,105.33 after falling by as much as 2% during the session. The recovery coincided with unusually active trading in several large index funds, although trading patterns alone cannot identify the buyers responsible.

One CSI 300 exchange-traded fund managed by E Fund Management registered turnover of about 19.5 billion yuan on Friday, its busiest session since October 2024. Heavy turnover can reflect purchases and sales by multiple participants and does not, by itself, establish the size of net state investment.

The rebound provided relief after a prolonged retreat that had already tested confidence in official market-support measures. The benchmark had endured a record sequence of weekly declines, leaving investors focused on whether additional institutional demand could interrupt the selling pressure.

Analysts at China Securities, including Yao Ziwei, had previously identified large subscriptions to leading broad-market funds and heavier activity towards the close of trading as characteristics consistent with institutional buying against the prevailing market trend. Their observations did not amount to confirmation of individual investors’ identities.

The scale of potential support has also attracted attention. Analysts including Rebecca Sin estimated that Central Huijin raised approximately $231 billion through exchange-traded fund sales during the first half of 2026 and redeployed about $43 billion after purchases resumed in July. Their calculations suggested considerable remaining capacity, although available resources do not guarantee further buying.

Those estimates underscore the distinction between market intervention and a sustained recovery. Purchases can provide immediate demand for shares, but their effect depends partly on whether other investors become willing to hold equities without continued institutional assistance.

The comparison with April 2025 is significant because that episode followed sweeping American tariff announcements that triggered sharp market losses. Authorities subsequently introduced measures intended to stabilise trading and confidence. Last week’s inflows approached the scale seen during that earlier emergency, despite the different circumstances surrounding the latest decline.

The nine-fund basket represents only part of China’s exchange-traded fund market. Subscription figures can vary depending on the funds selected, the valuation method and the period measured, while changes in units outstanding cannot establish the identity of the ultimate purchaser.

Mainland exchange-traded funds are listed securities whose prices fluctuate throughout the trading day. Their creation and redemption mechanisms allow authorised institutions to adjust the number of units outstanding as investor demand changes. These mechanisms can produce substantial changes in reported fund flows even when trading activity involves different categories of institutional and individual market participants.