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LONGi at 2025 WEF Annual Meeting: Solar Beating All Expectations

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DAWOS, Switzerland, Jan. 23, 2025 /PRNewswire/ — The World Economic Forum Annual Meeting, also known as the Davos Conference, kicked off on January 20th in Davos, Switzerland. This year’s meeting, themed ” Collaboration for the Intelligent Age,” has attracted nearly 3,000 global leaders from over 130 countries and regions to address key global and regional challenges. Zhong Baoshen, Chairman of LONGi and Eric Luo, Vice President of LONGi, attended the conference as representatives of Chinese solar photovoltaic enterprises. They shared the latest developments and future trends of the solar energy industry with numerous political elites and business leaders.

On the afternoon of January 21st, Zhong Baoshen attended the Ideas Hub session themed “Solar: Beating All Expectations” and delivered a speech. Vice President Eric Luo shared insights from the perspective of a leading solar photovoltaic (PV) enterprise, highlighting how exponential growth in the solar PV industry has injected new momentum into achieving global climate goals.

Zhong Baoshen introduced that the photovoltaic industry has achieved remarkable development, not only experiencing exponential growth but also playing a significant role in the energy transition process. “From 1954 to 2022, it took 68 years to surpass the first terawatt, while the second terawatt was achieved in just two short years. This highlights the rapid development of the solar industry in recent years. The International Energy Agency (IEA) forecasts that by 2030, the global installed capacity of solar PV is expected to exceed 4,000 gigawatts (GW). However, I personally believe it will surpass 5,000 GW.”

Nowadays, the cost of solar PV systems has dropped to approximately 1/820 of what it was in 1975. Eric Luo highlighted the world records set by LONGi in 2024, including a 27.30% efficiency for monocrystalline silicon solar cells and a 34.6% efficiency for crystalline silicon–perovskite tandem solar cells. He emphasized that LONGi’s relentless commitment to technological innovation has not only boosted conversion efficiency but also reduced the levelized cost of electricity (LCOE). These efforts have significantly bolstered the global push towards achieving net-zero emissions.

Zhong Baoshen pointed out that the installed capacity of solar PV will see a several-fold increase in just a few years, with its development speed far surpassing previous expectations. Solar PV is now an unstoppable force, becoming the core driving element of the global energy transition and profoundly reshaping the global energy landscape.

While achieving technological innovation, LONGi has also actively promoted innovation in intelligent manufacturing. At the 2024 Davos Conference, LONGi’s Jiaxing Base became the only “Lighthouse Factory” in the global photovoltaic industry. Eric Luo introduced that LONGi has extensively adopted new technologies such as the Industrial Internet of Things (IIoT), big data, artificial intelligence, and digital twins in the Lighthouse Factory, successfully implementing over 30 digital use cases. This has effectively propelled the photovoltaic industry’s leap from “manufacturing” to “intelligent manufacturing” and further demonstrated the huge potential of digital transformation in the field of solar photovoltaic manufacturing.

Ten years ago, the energy sector was confronted with the so-called ‘Energy Trilemma,’ which posited that environmental protection, economic viability, and energy security could not be achieved simultaneously. However, rapid technological advancements, especially significant breakthroughs in the solar photovoltaic (PV) field, have completely transformed this situation. Today, solar PV has become one of the most reliable, affordable, and sustainable base energies in the global energy system.

While meeting the world’s growing energy demands, solar PV has also created more possibilities for the widespread adoption of emerging green energies such as energy storage technologies, green hydrogen, green ammonia, and green methanol. The extensive application of solar energy has further propelled the global deep decarbonization process, making significant contributions to combating climate change and achieving global sustainable development goals. This has elevated the development of the energy sector to a new level for humanity.

Eric Luo, drawing on the current innovation trends in solar photovoltaics, believes that solar energy will become increasingly intertwined with technologies such as energy storage, transportation, architecture, and smart grids in the future. For instance, integrating solar energy with energy storage can effectively address the intermittency of photovoltaic power generation, ensuring a stable electricity supply. The fusion of solar energy and architecture has given rise to Building-Integrated Photovoltaics (BIPV), which not only meets the energy needs of buildings but also feeds surplus power back into the grid, enabling more efficient energy utilization.

“Through continuous innovation in the integration of these technologies, we can attract more industries to collectively drive the global energy system towards a more intelligent and sustainable future. Solar photovoltaics will pave the way for a cleaner, more efficient, and more reliable energy future for humanity.” Said by Eric Luo.

It is the collective efforts of the global industry that have driven a holistic transformation in the solar photovoltaic sector, spanning application scenarios, technological innovation, cost-effectiveness, and intelligent manufacturing.

“The future of solar energy will not only exceed expectations but also become a key force for the harmonious development of the global economy and environment. Let us work together to contribute more possibilities to the realization of the global net-zero goal.” Zhong Baoshen concluded.

About LONGi

Founded in 2000, LONGi is committed to being the world’s leading solar technology company, focusing on customer-driven value creation for full scenario energy transformation.

Under its mission of ‘making the best of solar energy to build a green world’, LONGi has dedicated itself to technology innovation and established several business sectors, covering mono silicon wafers cells and modules, commercial & industrial distributed solar solutions, green energy solutions and hydrogen equipment. The company has honed its capabilities to provide green energy and has more recently, also embraced green hydrogen products and solutions to support global zero carbon development. www.longi.com

SOURCE LONGi Green Energy Technology Co., Ltd.

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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 

View original content:https://www.prweb.com/releases/binbase-expands-2026-bin-dataset-with-instant-payout-intelligence-for-igaming-gambling-and-cross-border-transfers-302829344.html

SOURCE BinBase

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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

SOURCE Walnut Coding

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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.

View original content to download multimedia:https://www.prnewswire.com/news-releases/moreh-showcases-high-performance-llm-inference-on-amd-gpus-at-amd-advancing-ai-2026-302833887.html

SOURCE Moreh

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