IBM has extracted the core machine learning technology from IBM Watson and will initially make it available where much of the world's enterprise data resides: the z System mainframe, the operational ...

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, ...

Machine learning is the fastest growing area of computer science, but it's typically the domain of specialists. IBM aims to open it up to domain experts at its Enterprise customers to model their own ...

IBM Corp. said today it’s hoping to provide a standardized solution for developers to create and deploy machine learning models in production and make them portable ...

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to ...

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 figured out how to ignore noisy qubits and run machine learning algorithms in quantum feature spaces. Eureka-cadabra! The age of quantum algorithms is upon us. A team of IBM researchers, ...

Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

You're probably familiar with the thick plastic wrapping around a 24-pack of water bottles. The plastic is usually strong enough to prevent bottles from slipping through when carried. Water bottle ...