MPI (Message Passing Interface) is the de facto standard distributed communications framework for scientific and commercial parallel distributed computing. The Intel MPI implementation is a core ...
An integrated intent-driven verification and distributed monitoring framework strengthens network infrastructure security by uniting real-time ...
Pranav Prabhakar is an engineering leader with expertise in building scalable systems, deploying machine learning in ...
SANTA CLARA, Calif.--(BUSINESS WIRE)--Quobyte® Inc., a leading developer of modern storage system software, today announced that the Quobyte Data Center File System is the first distributed file ...
MLI is an Application Programming Interface (API) designed to address the challenges of building machine learning algorithms in a distributed setting based on data-centric computing. Its primary goal ...
Over at the All Things Distributed blog, Werner Vogels writes that the new Amazon SageMaker is designed for building machine learning algorithms that can handle “an infinite amount of data.” In ...
Steve Roddy is Vice President, Machine Learning Group, at Arm. Change is constant, and artificial intelligence (AI) and machine learning (ML) are changing everything, all over again. For developers ...
Can you use the new M4 Mac Mini for machine learning? The field of machine learning is constantly evolving, with researchers and practitioners seeking new ways to optimize performance, efficiency, and ...
Forbes contributors publish independent expert analyses and insights. I write about bleeding edge automotive technology. It's a solution that Tesla CEO Elon Musk would approve. No lidars, no ...
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