Forbes contributors publish independent expert analyses and insights. Making technology comprehensible and relevant. This week IBM announced its latest Z-series mainframe and MLCommons released its ...

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 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 corporate ...

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, ...

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 is releasing a new module as part of its open-source quantum software development kit, Qiskit, to let developers leverage the capabilities of quantum computers to improve the quality of their ...

Multidimensional: quantum computers could expand the representation spaces used by machine learning. (Courtesy: Shutterstock/Dmitriy-Rybin) Machine-learning ...

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, ...

IBM Corp. researchers reckon they’ve come up with new algorithms capable of enabling advanced machine learning on quantum computers. In a paper published today on arXiv, a repository for ...

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 to any cloud platform. To do so, it ...

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.