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International outlook of BRI helping businesses in Wuhan grow overseas

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BEIJING, Dec. 17, 2024 /PRNewswire/ — A report from China Daily

Enterprises in Wuhan city, Central China’s Hubei province, are expanding toward global markets under the Belt and Road Initiative, cultivating a large number of professionals and boosting local economic and social development.

Eight years ago, YOFC, a Wuhan-based enterprise specializing in the production and sale of fiber-optics and cables, set up Yangtze Optics Africa Cable, or YOA Cable, in Durban, South Africa.

Velile Mngonyama, a local production manager of YOA Cable, recalled that to start production smoothly, he and seven other colleagues, as the first group of foreign technical personnel, went to Wuhan in August 2016. There they completed a full set of training, from fiber-optic technology and equipment maintenance to production management, within a month.

“When joining YOA Cable, I started from scratch, and it was the Chinese engineers at YOFC who patiently taught me how to use equipment and manage the production,” he said.

Today, YOFC has established eight production bases in countries involved in the BRI, with more than 50 overseas offices, serving more than 100 countries and regions.

In Manila, the capital of the Philippines, a steaming bowl of hot dry noodles has become a regular on the table of Rayan Nalua, senior technical manager of the Philippine subsidiary of Wuhan FiberHome International Technologies.

When he first joined the company 10 years ago, Nalua was a local technical engineer in the network operations and maintenance team. “At that time, my Chinese leaders and colleagues were very tolerant and gave me many opportunities,” he said.

Expanding to major cities such as Manila, Cebu and Davao, FiberHome Philippines has become an industry leader with more than 15,000 employees and launched projects across the country.

Ivo, a Bulgarian employee of Wuhan-based HGTECH, an industrial tech enterprise producing laser equipment, said: “China develops rapidly, and the company innovates quickly as well. I enjoy this competitive atmosphere and want to do better.”

In 2012, he came to study mechanical engineering at Huazhong University of Science and Technology and graduated with a master’s degree in 2018. At the time, HGTECH was expanding into the European market and recruiting talents from home and abroad.

At HGTECH, new self-developed products are emerging continuously. Initially unfamiliar with these products, Ivo took the initiative to search for information to understand the uses, performance, and advantages of the products, and how to provide solutions when issues arise.

Soon after, Ivo secured his first order in Bulgaria, also HGTECH’s first in the country. “Working in a high-level company requires continuous learning of new knowledge and mastering new skills,” Ivo said.

In Addis Ababa, the capital of Ethiopia, Demeke Lule of Humanwell Pharmaceutical Ethiopia, a subsidiary of Wuhan-based Humanwell Healthcare, talked about his achievements over the past few years.

“The pharmaceutical industry is a high-tech industry, and I want to learn advanced pharmaceutical knowledge to produce high-quality drugs urgently needed by Africans,” Lule said. From equipment names to specific uses, from machine buttons to operating procedures, under the guidance of Chinese masters, he learned step-by-step.

In 2019, Lule became the quality department’s instruments head and was appointed as the executive manager of the quality department in 2022, responsible for process management, equipment maintenance, and training new employees.

Meanwhile, 36-year-old Kristian Kumpumaki, a Swedish language specialist at Transn, an internet-based language services provider in Wuhan, said he hopes to bridge the gap of cultural exchange and mutual learning, allowing the world to understand the real China.

In 2008, filled with curiosity and a longing for Chinese culture, he came to China. “I knew some information about China from the internet and news, and I really wanted to see what the real China was like.”

He first took a semester of Chinese language classes at the University of International Business and Economics. After completing his studies, he moved to Shenzhen, Guangdong province, to work and continue studying Chinese.

A Chinese friend once asked him to help translate a Swedish-language document, but he could not accurately translate it into Chinese. He turned to the internet, dictionaries and teachers, trying everything he could, but in the end, he only managed a rough translation.

“That was my first experience with translation, far from achieving ‘faithfulness, expressiveness, elegance’, but it sparked my interest in translation,” Kumpumaki said.

He began to study translation, reading Chinese works and practicing Chinese expressions. Whenever someone asked him to help with translation, he did his best, considering it an opportunity for practice. Gradually, his translation skills improved significantly, and he could translate among Chinese, English and Swedish, even doing part-time translation work at some companies.

While he did translation, Kumpumaki became more fascinated by Chinese culture and decided his career direction: to be the best possible translator. “Many foreigners do not understand the real China. I want to showcase and interpret Chinese wisdom that drives human civilization development, through my translation work, to the world.”

In early 2023, he joined Transn, becoming a full-time translator. Soon after, the company undertook a translation project of a well-known foreign automotive manufacturer, and Kumpumaki independently translated a part of it.

“Translation in the automotive field involves many technical terms, which I was initially unfamiliar with. But my colleagues were very skilled; they taught me to understand the precise meaning of each word and how to translate more accurately,” he said, adding that translating thousands of pages was very challenging, but with the help of his colleagues, he successfully completed the task.

As the BRI continues to advance, the demand for multilingual translation and language services from various countries is increasing. Transn’s overseas business is expanding in areas such as goods trade, service trade and e-commerce.

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SOURCE China Daily

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BinBase Expands 2026 BIN Dataset with Instant Payout Intelligence for iGaming, Gambling, and Cross-Border Transfers

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BinBase updates its 2026 dataset with specialized Fast Funds, Visa Direct, and Mastercard MoneySend indicators to help iGaming operators and payout platforms execute seamless, instant card disbursements.

MIAMI, July 23, 2026 /PRNewswire-PRWeb/ — BinBase, a global provider of payment routing intelligence and card issuing data, has introduced specialized instant payout indicators as part of its upgraded 2026 BIN Database. Tailored for iGaming operators, online gambling platforms, crypto-to-fiat ramps, and payout aggregators, the updated dataset helps platform engineers streamline real-time card disbursements and Push-to-Card (P2C) transactions.

In high-velocity sectors such as online betting and gaming, instantaneous player payouts are a primary driver of customer retention. However, executing Push-to-Card transactions through protocols like Visa Direct and Mastercard MoneySend requires knowing whether the receiving card issuer supports Fast Funds for specific merchant category codes (MCCs). Attempting instant payouts on non-eligible cards leads to declined transactions, elevated processing fees, and poor user experiences.

The 2026 BinBase release solves this operational bottleneck by delivering dedicated attributes for real-time fund disbursements:

Fast Funds Eligibility: Granular indicators identifying domestic and cross-border Fast Funds support across global Visa and Mastercard ranges.Online Gambling Fast Funds (OG FF): Dedicated flags specifically identifying card ranges authorized to receive real-time gambling and betting payouts.Mastercard MoneySend & Visa Direct Indicators: Precise protocol compatibility markers (MS Ind & MT Ind) ensuring push transactions are routed only to eligible recipient cards.Direct Debit & Pull-Funds Support: Indicators for recurring collections and account-funding transactions.

“Player payouts in iGaming cannot wait for standard 2-to-3-day ACH settlements,” said a spokesperson for Damiko Inc. “By embedding our Fast Funds and Gambling FF flags into their payment engines, operators can instantly validate recipient cards before initiating a transfer, guaranteeing high success rates and instant liquidity for their users.”

Fintech engineers and payout architects can examine the full 29-field database schema and access a free 2026 sample dataset on GitHub.

To explore commercial licensing, bulk database downloads, or custom data feeds, visit BinBase at https://binbase.com.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate processing fees.

Media Contact
Fedor Lavrikoff, BinBase, 1 7866133334, sales@binbase.com, www.binbase.com 

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Walnut Coding’s Young Coders Serve as ‘Instructors’ at Huawei Cloud Developer Training Camp

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Ages 8 and 15, students showcase AI-era project-building skills from concept to working application

BEIJING, July 23, 2026 /PRNewswire/ — Walnut Coding (the “Company”), a leading online platform for youth coding education, said two of its students – ages 8 and 15 – have joined the “instructor” lineup at Huawei Cloud Developer Training Camp, making them among the youngest “instructors” in the program’s history. The Company cites the pair as a prime example of how young learners can combine coding fundamentals with AI tools to turn ideas into working applications.

The two students, Bolin Du, 8, and Peiqi Gao, 15, built working applications using Huawei Cloud CodeArts, an AI coding assistant, then presented the projects to the training camp themselves – walking the audience through their design choices, technical builds, and debugging process.

The move lands at a moment when AI coding tools are forcing a rethink across the education sector. Tools that can generate functioning code from a plain-language prompt have undercut the traditional argument for teaching children to program – that they need the skill to build things themselves. Walnut Coding’s answer is that the more valuable skill now is judgment – knowing what problem to solve, breaking it into parts, and determining whether an AI’s output actually works.

Gao built a travel-planning application that generates routes, itineraries, and recommendations based on user input, handling the project end to end, from requirements and design through coding and debugging. Du, the younger of the two, built an interactive calendar application, using HTML for page structure, CSS for visual design, and JavaScript for interactive features. Both students then took on an instructor’s role at the camp, presenting their project goals and technical implementation to the audience – a step Walnut Coding says separated the work from a typical classroom assignment.

These were not classroom exercises but working projects, built and presented inside a professional developer-training environment. The experience demanded more from both students than simply producing something functional – they needed to articulate their reasoning, defend technical choices, and refine the final result under scrutiny. Their participation signals a broader shift underway in what youth coding education can deliver.

AI is making code generation easier, but it is also redrawing which skills actually matter. A student who relies only on one-click generation may get a rough prototype quickly, but still struggle to spot logical flaws, judge whether the output is reliable, or turn an abstract idea into a product that actually works. Students with programming foundations, by contrast, are better positioned to define requirements, evaluate what the AI produces, correct its errors, and treat the technology as a tool rather than a shortcut to lean on.

“AI can help children generate code faster, but it cannot decide for them what problem they should solve, nor can it make the final judgment about whether the result is truly effective,” said Pengxuan Zeng, founder and CEO of Walnut Coding. “What these two students demonstrated is not just coding technique, but the ability to define needs, break down tasks, verify outcomes, and turn an idea into a working product. That is why we believe young people still need to learn programming in the AI era.”

Walnut Coding structures its courses around that thesis, pairing student-led project work with teaching-assistant guidance and AI-assisted support. According to the Company, this data is continuously fed back into its systems to refine the personalization of AI-assisted feedback — a closed-loop process linking teaching, practice, feedback, and curriculum development.

The Company frames the payoffs less around producing professional software engineers than around a broader form of literacy. As AI continues to reshape how tasks get done, the ability to understand the technology, structure problems clearly and collaborate effectively with intelligent tools may prove one of the most durable skills a young learner can develop.

Walnut Coding says it plans to keep expanding opportunities for students to build practical projects, partner with industry technology platforms such as Huawei Cloud, and develop the core capabilities needed to build with technology in the AI era.

View original content:https://www.prnewswire.com/news-releases/walnut-codings-young-coders-serve-as-instructors-at-huawei-cloud-developer-training-camp-302833884.html

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MOREH Showcases High-Performance LLM Inference on AMD GPUs at AMD Advancing AI 2026

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SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, participated in AMD Advancing AI 2026, AMD’s flagship annual AI event held in San Francisco on July 22–23 (local time), where it demonstrated its distributed inference solution, the MoAI Inference Framework, running on AMD GPUs.

At the event, Moreh presented a live demonstration of the GLM-5.1 large language model (LLM) powered by the MoAI Inference Framework on a system equipped with 32 AMD Instinct™ MI300X GPUs across four nodes. Visitors experienced the chatbot firsthand, evaluating its response speed and service quality while observing performance across a range of real-world use cases.

Unlike conventional demonstrations that simply run an AI model, Moreh’s showcase displayed key inference service metrics in real time, including GPU utilization, Tokens Per Second (TPS), Time To First Token (TTFT), and Time Per Output Token (TPOT). This enabled attendees to directly verify both inference performance and GPU resource efficiency in a production-like service environment.

Global AI industry leaders and enterprise customers attending the event expressed strong interest in the system’s fast response times and stable performance. In particular, the live deployment of the computationally demanding GLM-5.1 model on AMD GPUs at production-grade service levels received positive feedback from visitors.

Moreh’s MoAI Inference Framework is widely recognized as the world’s first commercially deployed distributed inference solution built for the AMD ecosystem. Its distributed inference and heterogeneous computing technologies are designed to dramatically reduce AI service costs, enabling broader adoption of AI worldwide. The technology addresses one of the industry’s biggest challenges-the rapidly rising infrastructure and service costs caused by increasingly larger AI models-by delivering a more efficient inference infrastructure.

Moreh CEO Gangwon Jo stated, “This event provided an opportunity for global customers to verify firsthand that top-tier inference performance can be achieved on AMD GPU environments,” and added “We will continue advancing our AI infrastructure software so enterprises can operate AI services as efficiently as possible, regardless of the underlying GPU platform.”

Moreh develops its own AI infrastructure engine and has expanded its end-to-end AI capabilities through its foundation LLM subsidiary, Motif Technologies, covering both AI infrastructure and foundation models. The company is also strengthening its presence in the global AI market through strategic partnerships with leading technology companies, including AMD and Tenstorrent.

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