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Seegene Holds Partner Executive Roundtable with Microsoft, and Springer Nature, Accelerating its Technology-Sharing Initiative

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–  The first tri-party executive roundtable was held in London to strengthen synergies for Seegene’s vision of creating ‘a world free from diseases’ 

–  Preliminary results of product development automation and statistical analysis of syndromic test results powered with Microsoft’s AI technology were showcased

–  Global experts and scientists participated in building a diagnostic product development eco-system utilizing Springer Nature’s scientific network

–  Companies fostered collaboration to drive collective impact towards next year’s ‘a world free from diseases’ declaration ceremony

SEOUL, South Korea, Oct. 24, 2024 /PRNewswire/ — Seegene Inc., a leading South Korean company providing a total solution for PCR molecular diagnostics, held the first executive roundtable with Microsoft and Springer Nature to discuss advancing its technology-sharing initiative aimed at mitigating future pandemics and creating ‘a world free from diseases’, including the showcase of preliminary results from an automated diagnostic development system powered with Microsoft’s artificial intelligence (AI) technology. This is the first official event that the three companies gathered to discuss the initiative.

On October 23, the three companies convened at Springer Nature London Campus Auditorium for the technology-sharing initiative partner roundtable to share initial achievements and explore strategies for further collaboration. Dr. Jong-Yoon Chun, CEO and founder of Seegene; Marc Spenlé, chief operating officer of Springer Nature; Steven Inchcoombe, president of research at Springer Nature; and Elena Bonfiglioli, vice president of global business leader healthcare, pharma and life science at Microsoft attended the meeting.

“By integrating Seegene’s proprietary syndromic real-time PCR technology, Microsoft’s cutting-edge AI and cloud services, and Springer Nature’s extensive reach in the global scientific community, we will create new avenues for collaboration with scientists and experts in this technology-sharing initiative,” said Dr. Chun, CEO and founder of Seegene.

The technology-sharing initiative aims to globally share Seegene’s advanced diagnostic and data analysis technologies, including syndromic real-time PCR and an automated product development system (SGDDS), with a leading company partnered in each country. Partnering companies will collaborate with local scientists and experts to develop diagnostic tests tailored to the needs of their communities and fields, spanning a wide range of human and non-human diseases. Amidst the challenges of climate change and the anticipated rise in outbreaks, the initiative’s ultimate vision is to create ‘a world free from diseases’—a future where people no longer suffer from infectious diseases and cancer, and where animals and plants thrive without illness.

Seegene’s syndromic real-time PCR technology represents a breakthrough in molecular target detection, unparalleled by other PCR methods. It enables the simultaneous detection of up to 14 pathogens in a single reaction tube, with quantitative information for each target. Furthermore, multi-tube panel tests may be designed to cover an even more comprehensive set of pathogens with overlapping symptoms. As a powerful tool for mitigating the growing threat of multi-pandemics—exacerbated by climate change—Seegene’s technology enhances the ability to monitor and respond to a diverse range of rapidly evolving pathogens.

Companies participating in the technology-sharing initiative will gain access to Seegene’s cutting-edge technology and expertise, enabling them to develop and manufacture syndromic real-time PCR products tailored to their countries’ specific public health needs. Localization of such capabilities through this initiative will allow their communities to promptly respond to future outbreaks and multi-pathogen pandemics.

Building on the momentum achieved during this year’s roundtable, a declaration ceremony is expected to take place in the second half of next year, where strategies to maximize synergy amongst the three company’s technology will be further discussed.

At the meeting in London, Seegene and Microsoft showcased the preliminary results of integrating Microsoft’s Azure Open AI into the research planning module of Seegene’s automated product development system (SGDDS). The use of AI technology dramatically reduced the time needed to process and analyze relevant information from published scientific literature. Additionally, the two companies demonstrated a proof of concept for Seegene’s syndromic-based statistical analysis system that leverages Fabric, Microsoft’s AI-driven data integration platform, ultimately to discover statistical correlations between multiple pathogens causing similar symptoms, support accurate diagnosis and treatment, and predict future outbreaks.

“Until now, scientists and experts have been confined to limited local data, usually generated by themselves. However, access to diagnostic information shared across the world powered with Microsoft’s AI technology will enable swift response to any emerging diseases,” said Dr. Chun at Seegene.

“Seegene and Microsoft shared the vision of a new generation of diagnostic solutions, accessible at population level to help people stay healthier longer. Cloud and AI solutions help protect, manage and reason over the vast amounts of data needed to track diagnosis of global diseases in real time. Microsoft is the trusted partner to help realize Seegene’s vision of building ‘a world free from diseases,'” said Ms. Bonfiglioli from Microsoft.

In January 2024, Seegene and Microsoft entered a strategic collaboration to integrate Microsoft’s Azure Open AI services into numerous modules of Seegene’s SGDDS. The goal of these collaborative projects is to empower global companies participating in the technology-sharing initiative with a streamlined product development system augmented by advanced IT system operations and AI-powered data analysis.

Springer Nature was also present at the discussion. Since 2023, Seegene and Springer Nature have been running the Open Innovation Program (OIP) that invited scientists and experts around the world to participate in the development of clinically significant diagnostics assays. This year, the program was renewed by Springer Nature as the prestigious Nature Awards, MDx Impact Grants, calling for innovative proposals for PCR diagnostic assay development. Springer Nature will oversee key aspects of the process, including project submissions and evaluations, expecting to broaden interest and participation from the global scientific community.

In May 2024, the two companies signed a strategic alliance agreement that included expansion of the OIP program scope. Springer Nature will encourage the global scientific community to participate in the ideation, design, and development of new PCR diagnostic products.

“We have high expectations that the MDx Impact Grants will work synergistically with the technology-sharing initiative serving as a catalyst for greater adoption of PCR molecular diagnostics. Together we will build an ecosystem that promotes the development of accurate, rapid, accessible tests for underserved patient populations.” said Mr. Spenlé, the COO of Springer Nature.

An OIP Award ceremony was held, following the technology-sharing initiative partner roundtable to recognize the European winners. At the ceremony, eight scientists working in Europe among 17 awardees across the world were honored for their achievements. The awardees were as follows: Ulrich Eigner (Germany); Gian Maria Rossolini (Italy); Vismara Chiara Silvia (Italy); Davy Vanden Broeck (Belgium); Nicolas Yin (Belgium); Piet Cools (Belgium); Khoa Thai (Netherlands); Pedro Vieira-Baptista (Portugal).

Prof. Dame Jenny Harries, Chief Executive of the UK Health Security Agency (UKHSA), attended the event as a keynote speaker. During her visit to South Korea in March this year, Prof. Harries met with Dr. Chun at Seegene’s headquarters to discuss Seegene’s response and achievements during the COVID-19 pandemic, as well as to exchange views on its technology-sharing initiatives and the Open Innovation Program (OIP).

Companies participating in the technology-sharing initiative, such as Hy Laboratories Ltd. based in Israel and Werfen based in Spain, along with other business partners and bio-medical experts from Europe, attended the event to share the vision of the technology-sharing initiative.

About Seegene

Seegene has 24 years of dedicated experience in R&D, manufacturing, and business related to syndromic real-time PCR technologies. This expertise was particularly highlighted during the COVID-19 pandemic when Seegene provided over 340 million COVID-19 tests to more than 100 countries worldwide. The core feature of Seegene’s syndromic real-time PCR technology is the ability to simultaneously test for 14 pathogens that cause similar symptoms in a single tube with quantitative information.

Visit: Seegene.com and follow linkedin.com/company/seegene-inc

 

 

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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

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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.

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