Microsoft Fully Commits to AI Models, Intros Unmetered Intelligence
The vendor aims to demonstrate that enterprises can use its AI models and agent-building tools on its cloud ecosystem.
ars Technica AI·
Microsoft missed the boat on apps, so get ready for agents.
Read full articleThe vendor aims to demonstrate that enterprises can use its AI models and agent-building tools on its cloud ecosystem.
Microsoft unveiled seven in-house AI models and claimed its flagship reasoning and image systems outperform rivals from Anthropic, OpenAI, and Google.
Tech people will say everyone's already using OpenClaw. They're right. But Microsoft is the one with 1.4 billion Windows users ready to adopt it.
Microsoft's Discovery platform, integrated with Ginkgo's lab, could revolutionize scientific research by streamlining and accelerating R&D processes. The post Microsoft launches Discovery platform for scientific R&D with Ginkgo Bioworks partnership appeared first on Crypto Briefing.
Microsoft's expansion of proprietary AI models enhances its control over enterprise solutions, potentially reshaping the competitive landscape. The post Microsoft unveils seven new MAI models, led by CEO Mustafa Suleyman appeared first on Crypto Briefing.
Microsoft just kicked off Build 2026 with a keynote from CEO Satya Nadella and other company leaders. As expected, it was filled with announcements, ranging from new Surface hardware to an always-on personal assistant and updates across Microsoft's in-house AI models. If you didn't watch the event live, you can catch up on all the latest news in the roundup below. A mini Surface PC designed for AI development The Surface RTX Spark Dev Box is geared toward developers who want to run local AI models on their device, serving as a substitute for Qualcomm's canceled dev kit. It comes equipped with Nvidia's new Arm-based Spark RTX chip and 128G … Read the full story at The Verge.
Microsoft on Tuesday took the wraps off Adaptive Spec-driven Scoring for Evaluation and Regression Testing, an open-source framework for spinning up AI evaluations.
The agentic AI moment has arrived, but delivering on its promise requires more than good models. It also takes fast hardware, secure runtimes, a responsive data layer and models tuned for long-running reasoning. NVIDIA and Microsoft are bringing that full stack to developers across Windows devices, Azure cloud and local deployments. At Microsoft Build, NVIDIA […]