Image Analysis 4.0 with new API endpoint and OCR model in preview
We are thrilled to announce the preview release of Computer Vision Image Analysis 4.
AI + machine learning
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Azure Scales 530B Parameter GPT-3 Model with NVIDIA NeMo Megatron
Combining NVIDIA NeMo Megatron with our Azure AI infrastructure offers a powerful platform that anyone can spin up in minutes without having to incur the costs and burden of managing their own on-premises infrastructure. -
How Microsoft Azure helps drive agility and optimization for your business
Welcome to Microsoft Ignite. I’m incredibly inspired by this global community and how you’ve navigated your organizations through significant changes over the past few years. -
Drive efficiency through automation and AI with the Microsoft Cloud
This year at Microsoft Ignite, we explore how organizations can activate AI and automation directly in their business workflows and empower developers to use those same intelligent building blocks to deliver their own differentiated experiences. -
Microsoft shares what’s next in machine learning at NVIDIA GTC
Finding scalable solutions for today’s global challenges requires forward-thinking, transformative tools. -
3 ways Azure Speech transforms game development with AI
With Azure Cognitive Services for Speech, customers can build voice-enabled apps confidently and quickly with the Speech SDK. -
Microsoft is a Leader in 2022 Gartner Magic Quadrant for Cloud AI Developer Services
Gartner has recognized Microsoft as a Leader in the 2022 Gartner® Magic Quadrant™ for Cloud AI Developer Services, with Microsoft placed furthest in “Completeness of Vision”. -
Azure empowers easy-to-use, high-performance, and hyperscale model training using DeepSpeed
Large-scale transformer-based deep learning models trained on large amounts of data have shown great results in recent years in several cognitive tasks and are behind new products and features that augment human capabilities. -
MLOps Blog Series Part 4: Testing security of secure machine learning systems using MLOps
The growing adoption of data-driven and machine learning-based solutions is driving the need for businesses to handle growing workloads, exposing them to extra levels of complexities and vulnerabilities. -
MLOps Blog Series Part 3: Testing scalability of secure machine learning systems using MLOps
The capacity of a system to adjust to changes by adding or removing resources to meet demand is known as scalability. -
MLOps Blog Series Part 2: Testing robustness of secure machine learning systems using machine learning ops
Robustness is the ability of a closed-loop system to tolerate perturbations or anomalies while system parameters are varied over a wide range. -
Responsible AI investments and safeguards for facial recognition
Azure Cognitive Services deliver high-quality, consent-driven face recognition that developers use to power verification of human identities on mobile, desktop, and internet of thing (IoT) devices, as well as facial detection and redaction capabilities for accessibility, modern productivity, and privacy.
Explore Microsoft Foundry
The future of AI starts here. Envision your next great AI app with the latest technologies. Get started with Azure.
