As machine learning becomes more pervasive in the data center and the cloud there will be a need to share and aggregate information and knowledge but without exposing or moving the underlying data.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More IBM is releasing Qiskit Machine Learning, a set of new application ...

IBM Research has achieved a new milestone in distributed deep learning (DDL), building software that scales up DDL across hundreds of GPUs at near-ideal efficiency. The research tackles one of the ...

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IBM’s Watson Studio is the company’s service for building machine learning workflows and training models, is getting a new addition today with the launch of Deep Learning as a Service (DLaaS). The ...

IBM wants to bring machine learning to its traditional mainframe customers, and eventually to any technology with large data stores hidden behind a company firewall in what IBM calls a “private cloud.

In “The Adventure of the Silver Blaze,” Sherlock Holmes famously solved a case not by discovering a clue–but by noting its absence. In that case, it was a dog that didn’t bark, and that lack of ...

On Monday, IBM announced that it collaborated with Nvidia to provide a complete package for customers wanting to jump right into the deep learning market without all the hassles of determining and ...

IBM Machine Learning leverages parts of Watson to help train and deploy analytics models in the private cloud, to first be used with the IBM z System Mainframe. IBM will soon bring some of the core ...

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