University of Wyoming’s Evolving Artificial Intelligence Laboratory have been using the power of NVIDIA Tesla GPUs to accelerate their research since 2012. The Lab, which focuses on evolving artificial intelligence with a major focus on large-scale, structurally organized neural networks, has garnered press from some of the largest media outlets, including BBC, National Geographic, NBC News, The Atlantic and featured on the cover of Nature in May 2015.
Jeff Clune, Assistant Professor, Computer Science Department and Director of the Evolving Artificial Intelligence Laboratory, recently talked about his lab’s work using the Caffe deep learning framework, and how they are harnessing the power of Tesla GPUs to accelerate the research on visualizing deep neural networks.
“The speedups GPUs provide for training deep neural networks are well-documented and allow us to train models in a week that would otherwise take months,” said Clune. “And algorithms continuously improve. Recently, NVIDIA’s cuDNN technology allowed us to speed up our training time by an extra 20% or so.”
The following video shows off work from the Evolving AI Lab on visualizing deep neural networks.
Deep Visualization with the Caffe Framework
Aug 19, 2015
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AI-Generated Summary
- The University of Wyoming's Evolving Artificial Intelligence Laboratory has been using NVIDIA Tesla GPUs to accelerate their research on evolving artificial intelligence since 2012.
- Jeff Clune, Director of the Evolving Artificial Intelligence Laboratory, reported that using NVIDIA Tesla GPUs and cuDNN technology significantly sped up their deep neural network training time.
- The laboratory's research on visualizing deep neural networks has garnered significant media attention, including features in BBC, National Geographic, and Nature.
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