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deep neural network tagged posts:

A Proving Ground for Open Standards

December 8th, 2020 | Connected Social Media Syndication

	Andrew Lumsdaine, Chief Scientist at Northwest Institute for Advanced Computing, shares his journey in parallelism, from the HPC community’s early skepticism of and eventual move to C++ to build large systems, to his pursuit to develop a series of C++ [See the full post…]
Listen/download audio 28:37

Categories: Audio Podcast, Code Together, Intel Tags: C++, deep neural network, DPC++, heterogeneous, high performance computing, hipSYCL, HPC, Intel DevCloud, libraries, Math Kernel Library, MPI, oneAPI, oneDNN, oneMKL, Open Standards, parallel programming, parallelism, portability, Standards, SYCL, Threading Building Blocks, triSYCL

Driving Sustainable Energy with HCL Wind Turbine Defect Detection Solution – Intel on AI – Episode 59

June 17th, 2020 | Connected Social Media Syndication

	In this Intel on AI podcast episode: As wind turbines proliferate and grow in size and complexity, the biggest challenge to Wind Energy is the high cost of Operations and Maintenance. Manual inspection and maintenance is dangerous and expensive. [See the full post…]
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Categories: Artificial Intelligence, Audio Podcast, Intel, Intel on AI Tags: AI, Alberto Gutierrez, artificial intelligence, deep learning, deep neural network, Defect Detection, DL, HCL America, HCL Wind Turbine, machine learning, natural language processing, Supercomputing, sustainable energy, wind energy, wind turbine