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.

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IBM launches IBM Machine Learning cognitive platform for the private cloud Your email has been sent IBM Machine Learning leverages parts of Watson to help train and deploy analytics models in the ...

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.

Earlier in this decade, when the hyperscalers and the academics that run with them were building machine learning frameworks to transpose all kinds of data from one format to another – speech to text, ...

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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 ...