Abstract: GitHub Actions, a built-in CI/CD service of GitHub released in 2019, has become one of the most widely adopted tools among developers for automating software development workflows. This ...

Ready to get your first agentic workflow running? Follow our step-by-step Quick Start Guide (opens in new tab) to install the extension, add a sample workflow, and see it in action. Learn about the ...

With the open-source Dataverse SDK for Python (announced in Public Preview at Microsoft Ignite 2025), you can fully harness the power of Dataverse business data. This toolkit enables advanced ...

Full-stack developer, passionate about AI and learning new things. Powered by coffee and curiosity. Full-stack developer, passionate about AI and learning new things. Powered by coffee and curiosity.

Join us to learn about how to use cutting edge GPU infrastructure to solve real world material discovery problems with AI and unsupervised machine learning. Our lab in the Department of Materials ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Snowflake ML and NVIDIA integration puts high-speed AI development in the hands of data scientists Collaboration enables NVIDIA's popular CUDA-X libraries to be seamlessly used within the Snowflake AI ...

Collaboration accelerates quantum simulations by orders of magnitude, expanding global access to hybrid quantum computing and advancing the path toward industrial-scale quantum systems Powered by ...

Setting a big shared goal is exciting, but without a solid system, the path to it can become chaotic. The secret isn’t to just work harder, but to build smart, repeatable workflows that keep everyone ...

Microsoft 365 Copilot customers in the Frontier program now have access to two major new agentic capabilities, custom apps and workflows. “This week, we’re bringing AI-powered building to employees ...

The research fills a gap in standardized guidance for lipidomics/metabolomics data analysis, focusing on transparency and reproducibility using R and Python. The approach offers modular, interoperable ...