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The Three Variations of Supercomputing Cloud Technologies

“Cloud computing” is one of the most overloaded terms in the history of information technology.  Yes, there is the NIST Definition of Cloud Computing that many will point to, but the sheer number of adaptations of models for “enabling ubiquitous, convenient, on-demand” access to computing resources knows no limit. In this sponsored post, our friends at Atos provide three major and very different types of issues and found that a common technology thread worked across the board.  In fact, they also learned that while the models are different, organizations often benefit from more than one.

Using AI to Identify Brain Tumors with Federated Learning

Researchers at Intel Labs and the Perelman School of Medicine are using privacy-preserving technique called federated learning to train AI models that identify brain tumors. With federated learning, research institutions can collaborate on deep learning projects without sharing patient data. “AI shows great promise for the early detection of brain tumors, but it will require more data than any single medical center holds to reach its full potential,” said Jason Martin, principal engineer at Intel Labs.