Today IBM announced IBM Machine Learning, the first cognitive platform for continuously creating, training and deploying a high volume of analytic models in the private cloud at the source of vast ...

z System users with data behind their firewalls can now access IBM's training and deployment system for machine learning, packaged for convenience If you’re intrigued by IBM’s Watson AI as a service, ...

IBM has announced IBM Machine Learning, a cognitive platform for continuously creating, training and deploying a high volume of analytic models in the private cloud. The company has extracted the core ...

With the ability to revolutionize everything from self-driving cars to robotic surgeons, artificial intelligence is on the cutting edge of tech innovation. Two of the most widely recognized AI ...

IBM Corp. is teaming up with the artificial intelligence startup H2O.ai Inc. in an effort to speed up the training of machine learning models by using its latest POWER Systems servers. The companies ...

IBM announced that it is working with Austin, Texas-based Continuum Analytics to offer the Anaconda open data science platform on on its cognitive systems. Both Intel and Microsoft have also ...

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.

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.

IBM’s Uncertainty Qualification 360 is an open source library of Python algorithms for quantifying, estimating, and communicating the uncertainty of machine learning models. IBM has created an open ...