“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing. Organizations are modernizing AI data center infrastructure with GPU computing, ...

Big data for health care is one of the potential solutions to deal with the numerous challenges of health care, such as rising cost, aging population, precision medicine, universal health coverage, ...

The future of enterprise architecture isn’t cloud-first — it’s intelligence-first. And the shift is already underway.

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Machine learning's transformative shift mirrors the MapReduce moment, revolutionizing efficiency with decentralized consensus ...