Microsoft, just like many of its competitors, has gone all in on machine learning ... in the cloud (thanks to the use of Docker containers and the Azure Batch AI Training service).

Docker images can bundle all dependencies ... with a friend on a Python project that uses a specific machine-learning library ...

The same connector and pipeline model powers its Azure ... of streamed images. Edge sites are often bandwidth constrained, so using this approach allows you to run machine learning–based ...

[Click on image for larger view.] Typical Azure Machine Learning Project Lifecycle (source: Microsoft). In the Q&A that follows, Boyd shares what inspired him to present this topic, breaks down key ...

Two of the most widely recognized AI services are Microsoft’s Azure Machine ... They leverage machine learning models to make sense of content such as text, speech, images and videos.

The machine learning tools on Azure have rapidly become an important ... designed architectures for multi-terabyte online image stores, implemented B2B information hubs, and come up with next ...

They include: Emotion recognition: this Azure ... the machine learning algorithm behind the service can edit the video based on a set of parameters—including performing image stabilization ...

Microsoft Office 365: How these Azure machine-learning ... suggest a layout and design; it uses machine learning for text and slide structure analysis, image categorisation, recommending content ...

Meanwhile, back at the AI ranch, Microsoft is announcing the general availability (GA) of the Azure Machine Learning service. Mary Jo Foley has covered the GA news. I'd like to talk about what's ...