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Machine Learning

Bluware and Microsoft Azure develop OSDU-enabled interactive AI seismic interpretation solution for energy super major

2022年8月8日

Bluware, which develops cloud-native solutions to help oil and gas operators to increase exploration and production workflow productivity through deep learning by enabling geoscientists to deliver faster and smarter decisions about the subsurface and today announced its collaboration with Microsoft for its next-generation automated interpretation solution, InteractivAI™, which is built on the Azure implementation of the OSDU™ Data Platform.

Principal Program Manager, Microsoft

Azure empowers easy-to-use, high-performance, and hyperscale model training using DeepSpeed

2022年7月26日

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. Azure Machine Learning (AzureML) brings large fleets of the latest GPUs powered by the InfiniBand interconnect to tackle large-scale AI training.

Principal Software Engineer

MLOps Blog Series Part 4: Testing security of secure machine learning systems using MLOps

2022年7月12日

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. Here are some key approaches and tests for securing your machine learning systems against attacks with Azure Machine Learning using MLOps.

Product Marketing Manager, Data and AI Marketing

MLOps Blog Series Part 2: Testing robustness of secure machine learning systems using machine learning ops

2022年6月22日

Robustness is the ability of a closed-loop system to tolerate perturbations or anomalies while system parameters are varied over a wide range. There are three essential tests to ensure that the machine learning system is robust in the production environments: unit tests, data and model testing, and integration testing.

Product Marketing Manager, Data and AI Marketing

MLOps Blog Series Part 1: The art of testing machine learning systems using MLOps

2022年6月14日

Testing is an important exercise in the life cycle of developing a machine learning system to assure high-quality operations. In this blog, we will look at testing machine learning systems from a Machine Learning Operations (MLOps) perspective and learn about good case practices and a testing framework that you can use to build robust, scalable, and secure machine learning systems.

Product Marketing Manager, Data and AI Marketing

Azure NC A100 v4 VMs for AI now generally available

2022年6月1日

AI is revolutionizing the world we live in—from the way we entertain ourselves, to the products and services that we consume, to the way we care for our bodies, and how we go about our daily work. At Microsoft, our NC series virtual machines (VMs) allow our customers and partners access to almost limitless AI hardware infrastructure with Microsoft tools and services so that they can be productive quickly and more easily.

Senior Program Manager, Azure HPC and AI

Meta selects Azure as strategic cloud provider to advance AI innovation and deepen PyTorch collaboration

2022年5月25日

Microsoft is committed to the responsible advancement of AI to enable every person and organization to achieve more. Over the last few months, we have talked about advancements in our Azure infrastructure, Cognitive Services, and Azure Machine Learning to make Azure better at supporting the AI needs of all our customers, regardless of their scale.

Corporate Vice President, AI Platform