In this video from the Swiss HPC Conference, DK Panda from Ohio State University presents: Scalable and Distributed DNN Training on Modern HPC Systems. The current wave of advances in Deep Learning ...
Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook 51001614 - robotic hand, accessing on laptop, the virtual world of information. concept of ...
HOUSTON -- (May 18, 2020) -- Rice University's Early Bird could care less about the worm; it's looking for megatons of greenhouse gas emissions. Early Bird is an energy-efficient method for training ...
A new technical paper titled “DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training” was published by researchers at University of Bologna and ETH Zurich ...
BOSTON--(BUSINESS WIRE)--Today, Neurala announced the launch of Brain Builder: an end-to-end SaaS platform to streamline the creation of custom vision AI solutions. By giving organizations an ...
Machine learning compute infrastructures are primarily catered towards organisations looking to build infrastructure stacks on-premise. There are six core capabilities needed in machine learning ...
In this video from the Stanford HPC Conference, DK Panda from Ohio State University presents: How to Achieve High-Performance, Scalable and Distributed DNN Training on Modern HPC Systems. This talk ...
"This means you can train a DNN to achieve the same or even better accuracy for a given task in about 10% or less of the time needed for traditional training, which can lead to more than one order ...