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Spingence Collaborates with Cooler Master to Launch AI Factory and Build the Agentic AI Ecosystem

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TAIPEI, July 25, 2025 /PRNewswire/ — Spingence Technology, a long-standing leader in AI solutions for precision manufacturing, today announced a strategic collaboration with Cooler Master, a global leader in thermal solutions. This partnership supports Cooler Master’s “CM AI Dual-Engine Initiative,” aimed at advancing both intelligent manufacturing and operational transformation. By leveraging NVIDIA AI technologies, the two companies are jointly implementing solutions across quality inspection, digital simulation, and enterprise-level agentic AI deployment, realizing a dual vision of enhanced quality and operational efficiency.

AI-Powered Visual Inspection: Launching from the Metropolis Factory

As Cooler Master’s key technical partner in the initial phase of its AI Factory initiative, Spingence has deployed the NVIDIA Metropolis platform, integrating NVIDIA TAO and its AutoML capability to rapidly develop and fine-tune high-precision AOI defect detection models. These models are deployed to live production lines via the NVIDIA Dynamo-Triton, enabling automated inspection of over 20,000 to 40,000 products per month—including high-value series such as NVIDIA GB200, NVIDIA GB300, and NVIDIA Hopper. This significantly improves defect detection rates and consistency at the final inspection stage, providing robust quality assurance for Cooler Master’s premium cooling solutions.

Building an Integrated Production Environment: Toward a Digital Twin Blueprint

As part of Cooler Master’s smart manufacturing roadmap, Spingence is also supporting the launch of a digital twin modeling initiative. Using NVIDIA Omniverse libraries, Spingence provides highly realistic equipment model development, enabling Cooler Master to simulate workstation configurations and production workflows in simulation environments. This Real-to-Simulation approach not only reduces deployment risks but also establishes the necessary data and scenario foundation for future integration of agentic AI models.

Expanding Intelligent Agent Applications: Deploying an Agentic AI Ecosystem

In response to Cooler Master’s strategic drive toward intelligent operations, Spingence leverages its extensive experience in on-premises AI deployment to integrate the NVIDIA Enterprise AI Factory validated design and NVIDIA NIM microservices. This allows multiple LLMs to be modularized and rapidly deployed across various use cases, including knowledge summarization, report generation, and task recommendations. Using NVIDIA technology, Spingence is building agentic AI system with autonomous decision-making, continual learning, and feedback capabilities—laying the groundwork for a Sustainable Digital Workforce and advancing organizational intelligence.

From Strategy to Execution: A Benchmark for AI-Powered Operations

Through this multi-level technical collaboration, Spingence and Cooler Master are not only implementing NVIDIA-native AI solutions across factory and operational domains.

Still, they are also building a replicable smart manufacturing framework. Looking ahead, Spingence will continue to support Cooler Master in scaling AI applications through standardized toolchains and modular deployment models, while extending the solution framework across the broader thermal industry supply chain—creating a compelling demonstration of “building NVIDIA products on the NVIDIA platform.”

With a continued focus on innovation and real-world execution, Spingence is committed to working closely with Cooler Master to set a global benchmark in AI-enabled smart operations.

Media Contact
Veronica Wang / Brand Engagement Manager of Spingence Technology
[email protected] 

SOURCE Spingence Technology Co., Ltd.



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Big tech will pull the plug on free AI. Can creatives afford to pay?

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Remember when Netflix was eight dollars a month? Now it’s nearly tripled in price, carved into ad-riddled tiers, while free-to-air TV has been gutted into unwatchable dreck. The streaming giants hooked us with cheap content, killed the free alternatives, then cranked up prices once we were trapped.

Well, I reckon we’ll soon be watching the exact same playbook unfold with AI. Except this time, the stakes will be infinitely higher.



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Infinities Technology Faces Revenue Decline Amid Strategic Shift Towards AI

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Infinities Technology International (Cayman) Holding Limited ( (HK:1961) ) has provided an announcement.

Infinities Technology International reported a significant decline in revenue and gross profit for the first half of 2025, with an 85.8% drop in revenue compared to the same period in 2024. This decline is attributed to reduced revenue from its mobile games and digital media businesses, as well as the early-stage development of its AI application services, which have yet to generate substantial profits. Despite these challenges, the company remains focused on its strategic goal of expanding its digital entertainment platform globally, leveraging AI as a core component. The industry outlook is optimistic, with the Chinese government’s recent AI initiative expected to drive significant development and investment opportunities in the sector.

The most recent analyst rating on (HK:1961) stock is a Hold with a HK$0.50 price target. To see the full list of analyst forecasts on Infinities Technology International (Cayman) Holding Limited stock, see the HK:1961 Stock Forecast page.

More about Infinities Technology International (Cayman) Holding Limited

Infinities Technology International (Cayman) Holding Limited operates in the digital entertainment industry, focusing on mobile games, digital media, and gaming product supply. The company is committed to building a diversified digital entertainment service platform with a strong emphasis on artificial intelligence technologies.

Average Trading Volume: 404,103

Technical Sentiment Signal: Sell

Current Market Cap: HK$198.3M

For detailed information about 1961 stock, go to TipRanks’ Stock Analysis page.

Disclaimer & DisclosureReport an Issue



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Humans are being hired to make AI slop look less sloppy

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Brands caught using AI have continued to face backlash from consumers. Last month, Guess sparked outcry online when it featured an AI-generated model in an advertisement that appeared in Vogue.

So even outside of any obvious mistakes made by AI tools, some artists say their clients simply want a human touch to distinguish themselves from the growing pool of AI-generated content online.

To Todd Van Linda, an illustrator and comic artist in Florida, AI art is easily discernible, if not by certain telltale inconsistencies in the details, then by the plasticine effect that defines AI-generated images across a range of styles.

“I can look at a piece and not only tell that it’s AI, I can tell you what descriptor they used to generate it,” Van Linda said. “When it comes to, especially, independent authors, they don’t want anything to do with that because it’s so formulaic, it’s obvious. It’s like they stopped off at Walmart to get a bargain cover for their book.”

Authors come to him, he said, because they know that AI-generated art fails to capture the hyperspecific “vibe” of their individual story. Often, his clients can only give him a rough idea of what they want. It’s then Van Linda’s job to decipher their preferences and create something that draws out the exact feeling each client seeks to evoke from their art.

Van Linda said he also gets approached by people who want him to “fix” their AI-generated art, but he avoids those jobs now because he has realized those clients are typically less willing to pay him what he believes his labor is worth.

“There would be more work involved in fixing those images than there would be in starting from a clean sheet of paper and doing it right, because what they have is a mismatched collection of generalities that really don’t follow what they’re trying to do,” he said. “But they’re trying to wedge the square peg into the round hole because they don’t want to spend any more money.”

The low pay from clients who have already cheaped out on AI tools has affected gig workers across industries, including more technical ones like coding. For India-based web and app developer Harsh Kumar, many of his clients say they had already invested much of their budget in “vibe coding” tools that couldn’t deliver the results they wanted.

But others, he said, are realizing that shelling out for a human developer is worth the headaches saved from trying to get an AI assistant to fix its own “crappy code.” Kumar said his clients often bring him vibe-coded websites or apps that resulted in unstable or wholly unusable systems.

His projects have included fixing an AI-powered support chatbot that gave customers inaccurate answers — and sometimes leaked sensitive system details due to poor safety measures — and rebuilding an AI content recommendation system that frequently crashed, gave irrelevant recommendations and exposed sensitive data.

“AI may increase productivity, but it can’t fully replace humans,” Kumar said. “I’m still confident that humans will be required for long-term projects. At the end of the day, humans were the ones who developed AI.”



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