Anthropic’s Claude models are now generally available in Microsoft Foundry, giving Azure developers and enterprise application teams another major frontier model option inside Microsoft’s cloud AI ...

AI can generate C# code far faster than you can fix it. Follow these best practices to ensure that your AI-generated C# is ...

The speakers discuss Netflix’s architecture for surviving extreme traffic spikes. They explain the mechanics of prioritized ...

Claude models reached GA on Microsoft Foundry with Azure-native billing and governance, but no European data zone exists.

AnyBio, the biosignal infrastructure platform for builders, and Medplum, the open-source FHIR-native developer platform, today announced a joint reference architecture for biosignal-driven care ...

While Anthropic is dealing with a government-ordered suspension of its newest Fable and Mythos models, Microsoft is emphasizing a more enterprise-ready Claude path through Microsoft Foundry.

Claude Opus 4.8 and Claude Haiku 4.5 are now available to Azure customers, integrated with current Azure controls and billing.

SkiaSharp 4.148.0 marks the first stable release in the SkiaSharp v4 line. The project is now co-maintained by Microsoft's .NET team and Uno Platform, reflecting a broader open-source collaboration.

Anthropic's Claude family of AI models is now generally available in Microsoft Foundry on Azure, giving enterprise developers another frontier model they can deploy, manage and govern through ...

Some of the Capital One offers mentioned below are not currently available. Terms apply to American Express benefits and offers. Visit americanexpress.com to learn more. There are a lot of perks that ...

Rachel Williams has been an editor for nearly two decades. She has spent the last five years working on small business content to help entrepreneurs start and grow their businesses. She’s well-versed ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.