祺荃企業有限公司 您可以信賴的軟體供應商

10/09/2026

DLSS 5 on RTX 50 isn’t only about how the frame looks.

Tom’s Hardware covered a HardOCP report of an MSI 5090 that went past 600W with DLSS 5 on and melted the 16-pin, plus lab numbers showing big power spikes when the feature is enabled.

If you log GPU power, temps, and stability under load, not only FPS, this is one to watch.

It's in the genetics.

10/09/2026

我們很高興宣布，SigmaXL 將參加 ASQ 多倫多分會暨 ASQ 檢驗部門聯合會議 2026：超越變革，領先數位時代卓越。

請於 9 月 19 日上午 10：30 至 10：45 加入 CTO John Noguera，搶先預覽 SigmaXL 版本 12 的新功能。

請在此註冊

06/09/2026

SmartPLS at the conference! International conference on pls-sem

03/09/2026

In mineral exploration, promising targets are rarely identified by a single measurement. High assay grades become much more meaningful when you can see how they relate to depth, lithology, alteration, associated elements, and other geological variables.

Our latest blog, "How to Visualize Multivariate Data in Mineral Exploration," explores how bringing multiple dimensions of drillhole data into a single visual can make relationships easier to uncover.

While reading our blog, you’ll learn:

✔️Why analyzing drillhole variables separately can hide important geological relationships
✔️How XYZC data uses position, depth or size, and color to represent multiple dimensions in one visualization
✔️How multivariate visuals can reveal relationships between mineral concentrations across boreholes and depths
✔️How to normalize variables with different measurement scales for more meaningful comparisons
✔️Best practices for using color and grouping to make complex exploration data easier to interpret

When drilling decisions carry significant costs, understanding how your data connects can help you identify promising targets, reduce uncertainty, and make more informed decisions about where to drill next.

Read our full blog now to discover how multivariate visualization can bring the bigger picture of your exploration data into focus.

🔗https://hubs.la/Q04wr-z80

03/09/2026

Using AI for content creation? Here's what NEEDS to include in your AI compliance checklist before you hit publish 👇

First, include the basics like the reviewers name, the exact approved version, and a clear list of every AI tool used in the process.

Check for factual accuracy, always have a human cross-reference claims with trusted primary sources.

Actively review and remove any content that includes any prejudices. Make sure the output is fair, respectful, and free from stereotypes.

Ensure your final project is accessible to everyone by checking for readability, clear language, and proper alternative text when applicable.

Align with company and regulatory guidelines to determine if (and how) you will disclose your AI usage.

AI is a powerful assistant, but humans should always have the final say.

To learn more check out our blog article (link in the comments below) ⬇️

21/08/2026