Data parallelism is an approach towards parallel processing that depends on being able to break up data between multiple compute units (which could be cores in a processor, processors in a computer… ...

Researchers have discovered a critical flaw in PyTorch’s distributed RPC system, allowing attackers to execute arbitrary commands on the OS and steal AI training data.

The Data Science Lab Neural Regression Classification Using PyTorch: Preparing Data Dr. James McCaffrey of Microsoft Research presents the first in a series of four machine learning articles that ...

RaNNC (Rapid Neural Network Connector), automatic parallelization middleware for deep learning developed jointly by Data-driven Intelligent System Research Center (DIRECT), the National Institute ...

The Data Science Lab Binary Classification Using PyTorch: Preparing Data Dr. James McCaffrey of Microsoft Research kicks off a series of four articles that present a complete end-to-end ...

Hybrid cloud data management firm Cloudian Inc. today announced the availability of its new PyTorch connector with Remote Direct Memory Access support that delivers erformance improvements for ...