Even as artificial intelligence (AI) becomes indispensable for network operations and enabling tomorrow’s businesses, AI models are growing in size and complexity, with infrastructure requirements ...

The difference between distributed computing and concurrent programming is a common area of confusion as there is a significant amount of overlap between the two when you set out to accomplish ...

Abstract: Distributed Edge Computing (DEC) has emerged as a novel paradigm, owing to its superior performance in communication latency, parallel computing efficiency, and energy consumption. With the ...

Google's TensorFlow machine learning system can now be distributed across multiple machines in an update, TensorFlow 0.8. The machine learning software is already distributed across hundreds of ...

Smart Cities provide a wealth of opportunities for connected and efficient living. However, they also place a large demand on communications infrastructure. These cities require a large number of ...

Today’s energy landscape demands fundamental transformation. Utilities face multiple challenges: aging infrastructure, increasingly complex grid environments, integrating renewable energy sources, and ...

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This course is available on the MPA in Data Science for Public Policy, MSc in Applied Social Data Science, MSc in Data Science, MSc in Econometrics and Mathematical Economics, MSc in Geographic Data ...