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 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 ...

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 ...

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IBM has pushed transistor density to a new extreme, fitting nearly 100 billion transistors onto a single chip roughly the ...

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 ...

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 ...

In a new paper by IBM, quantum machine learning was able to discern patterns where classical computers missed the signal in the noise. Quantum computing is a field full of promise but has yet to prove ...

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 a world that requires increasing amounts of compute power to handle the resource-intensive demands of workloads like artificial intelligence and machine learning, IBM enters the fray with its ...