The company said it’s addressing common pain points in the deployment of machine learning, a branch of artificial ... Exposing the inferencing engine as an API makes it possible for developers ...

With this release, data scientists can quickly create robust autoscaling REST services for their machine learning models to better serve real-time applications in the cloud or on-premise. The 1.3 ...

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Windows machine learning is one of the highlights of this year’s Microsoft annual developer event. The company is also paving ...

MLEM’s modular nature fits into any organization’s software development workflows based on Git and CI/CD, without engineers having to transition to a separate machine learning deployment and ...

Like the rest of the tech world, Apple wants to make AI on your mobile device as fast and powerful as possible. That’s why the company unveiled a new machine learning framework API for ...

While teams spend lots of energy developing a machine learning model, it’s hard to actually deploy the model for customers to use. That’s where Graphpipe comes in. He points out that it’s ...

an efficient machine learning framework specifically designed for Apple silicon (i.e. your laptop!)” The idea is that it streamlines training and deployment of ML models for researchers who use ...

Microsoft has released the 0.6 version of its ML.Net machine learning framework, aimed at .Net developers. The update adds a new and more useful model-building API set, the ability to use more ...