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Aires Tech Showcases Advanced Technology at UFC Performance Institute with “Next Frontier of UFC Training and Performance” Symposium

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Symposium gathered top fighters, neuroscientists, and media together in New York City on eve of UFC 309

UFC Performance Institute leader, Dr. Duncan French, welcomed Aires Tech integration into the renowned performance center to mitigate the negative effects of EMF radiation*

Aires Tech activates UFC partnership through co-branded partner and multi-channel content that engages UFC’s 700 million fans in 170 countries

TORONTO, Nov. 21, 2024 /PRNewswire/ — American Aires Inc. (CSE: WiFi, OTCQB: AAIRF) (“Aires” “Aires Tech” or the “Company”) marked a significant milestone in its partnership with UFC by co-hosting a first-of-its-kind symposium on the eve of UFC 309 on Friday, November 15, 2024. “The Next Frontier of UFC Training and Performance” event spotlighted the role of advanced technology in athlete care and peak performance, showcasing Aires Tech’s advanced solutions now integrated into the UFC Performance Institute (“UFC PI”). (3.5-minute highlight video can be viewed here.)

The roundtable discussion highlighted the UFC PI’s renowned status, described by many as the “gold standard” in health, wellness, and performance for UFC athletes. With the addition of Aires Tech’s electromagnetic field (“EMF”) radiation protection technology, the UFC PI continues to advance its holistic approach to ensuring more effective training and recovery for UFC athletes. The symposium featured a distinguished panel of experts from the UFC performance community, including UFC Hall-of-Famer Daniel Cormier, UFC Featherweight contender Dan Ige, and Dr. Nicholas Dogris, neuroscientist and brain health specialist, alongside Aires Tech CEO Josh Bruni, who delivered special remarks. UFC 309 also featured Aires Tech ambassador and UFC lightweight star Michael Chandler, who took to the Octagon in the co-main event to face former champion Charles Oliveira.

Dr. Duncan French, Senior Vice President, UFC PI, shared his enthusiasm for Aires Tech’s impact in a published testimonial: “When I first saw how Aires Tech mitigates the negative effects of EMF on brain activity, I was blown away. It was astonishing to witness the silent effects of EMF radiation on human physiology, and seeing how Aires Tech can restore optimal brain function through EEG recordings was impressive. The science behind it is truly remarkable.” Dr. French’s full remarks on the effectiveness of Aires Tech’s partnership in supporting the UFC’s athlete performance can be found here.

“The UFC sponsorship creates compelling opportunities for co-branded marketing activations, amplifying our reach, building instant trust, and deepening our connection with both fans and consumers around the world,” said Aires Tech CEO Josh Bruni. “By embedding our technology in the UFC PI, we not only contribute to the health and success of world-class athletes but also showcase our innovation in a way that resonates with fans of peak performance sports and advanced technology alike.”

The UFC PI is home to a global team of sports science experts dedicated to optimizing the performance and health of UFC fighters. With the inclusion of Aires’ technology, the UFC PI now offers an additional layer of protection against EMF radiation exposure, a growing concern for athletes surrounded by frequency-emitting technology. While the full and long-term effects of EMF exposure from everyday technology continue to be studied and debated, Aires Tech’s technology provides a refined, protective environment, which Aires Tech’s research shows helps fighters enhance their performance, safeguard their health, and accelerate recovery.*

UFC Partnership Powers Aires Tech’s Brand Growth and Global Reach

Our strategic partnership with UFC continues to play a pivotal role in elevating Aires Tech’s brand visibility and connecting it to the hundreds of millions of passionate UFC fans worldwide.

Continued Bruni: “Our multi-faceted approach utilizes co-branded partner and multi-channel media to ensure our messaging is amplified across multiple channels. This strategy expands our global reach and strengthens our brand’s credibility, while co-branded media, in particular, gives consumers the tools they need to make informed purchasing decisions. Through this integrated strategy, Aires Tech is positioning itself as a leader in both the tech and sports performance industries, driving awareness and building lasting relationships with UFC fans and tech-savvy consumers around the world.”

For more information about the UFC partnership, the #AiresAthletes campaign and Aires’ innovative EMF protection technology, please visit www.airestech.com.

About UFC Performance Institute
The UFC Performance Institute is the world’s first mixed martial arts multi-disciplinary research, innovation and performance center. With locations in Las Vegas, Shanghai, and Mexico City, each facility is staffed with experts in the fields of strength and conditioning, nutrition, and physical therapy, focused on providing UFC athletes with world-class services designed to optimize their performance. For more information on the UFC Performance Institute, please visit ufcpi.com

About American Aires Inc.
American Aires Inc. is a Canadian-based nanotechnology company committed to enhancing well-being and environmental safety through science-led innovation, education, and advocacy. The company has developed a proprietary silicon-based resonator that protects against the harmful effects of electromagnetic field (EMF) radiation.* Aires’ Lifetune products target EMF emitted by consumer electronic devices such as cellphones, computers, baby monitors, and Wi-Fi, including the more powerful and rapidly expanding high-speed 5G networks. Aires has studied the efficacy of its products and their efficacy in reducing the effects of EMF exposure, however, Aires’ products are not medical devices intended or cleared to diagnose, mitigate, prevent, or treat any medical condition, or recommended for such medical purposes. Aires is listed on the CSE under the ticker ‘WiFi’ and on the OTCQB under the symbol ‘AAIRF’. Learn more at www.investors.airestech.com

*Note: Based on the American Aires Inc.’s internal and peer-reviewed research studies and clinical trials. For more information please visit https://airestech.com/pages/tech. UFC has not independently verified the contents of these studies.

Company Contact:

Josh Bruni, CEO

Website: www.investors.airestech.com

Email: wifi@airestech.com

Telephone: (415) 707-0102

Certain information set forth in this news release may contain forward-looking statements that involve substantial known and unknown risks and uncertainties. All statements other than statements of historical fact are forward-looking statements, including, without limitation, statements regarding future financial position, business strategy, use of proceeds, corporate vision, proposed acquisitions, partnerships, joint ventures and strategic alliances and co-operations, budgets, cost and plans and objectives of or involving the Company. Such forward-looking information reflects management’s current beliefs and is based on information currently available to management. Often, but not always, forward-looking statements can be identified by the use of words such as “plans”, “expects”, “is expected”, “budget”, “scheduled”, “estimates”, “forecasts”, “predicts”, “intends”, “targets”, “aims”, “anticipates” or “believes” or variations (including negative variations) of such words and phrases or may be identified by statements to the effect that certain actions “may”, “could”, “should”, “would”, “might” or “will” be taken, occur or be achieved. A number of known and unknown risks, uncertainties and other factors may cause the actual results or performance to materially differ from any future results or performance expressed or implied by the forward-looking information. These forward-looking statements are subject to numerous risks and uncertainties, certain of which are beyond the control of the Company including, but not limited to, the impact of general economic conditions, industry conditions and dependence upon regulatory approvals. Certain material assumptions regarding such forward-looking statements may be discussed in this news release and the Company’s annual and quarterly management’s discussion and analysis filed at www.sedar.com. Readers are cautioned that the assumptions used in the preparation of such information, although considered reasonable at the time of preparation, may prove to be imprecise and, as such, undue reliance should not be placed on forward-looking statements. The Company does not assume any obligation to update or revise its forward-looking statements, whether as a result of new information, future events, or otherwise, except as required by securities laws.

No securities regulatory authority has either approved or disapproved of the contents of this news release. The Shares have not been, nor will they be, registered under the United States Securities Act of 1933, as amended, or any state securities laws, and may not be offered or sold in the United States, or to or for the account or benefit of any person in the United States, absent registration or an applicable exemption from the registration requirements. This press release shall not constitute an offer to sell or the solicitation of an offer to buy any common shares in the United States, or in any other jurisdiction in which such offer, solicitation or sale would be unlawful. We seek safe harbour.

Neither the Canadian Securities Exchange nor its Market Regulator (as that term is defined in the policies of the Canadian Securities Exchange) accepts responsibility for the adequacy or accuracy of this news release.

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SOURCE Aires Tech

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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

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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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