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2017 GTC San Jose

S7717 - Making AI Work in Healthcare: How GPU-Accelerated AI Can Predict Chronic Diseases Amongst Millions

Session Speakers
Session Description

We'll explore the performance and impact of GPU-accelerated AI on model development for chronic diseases. Given healthcare's extremely complex and massive datasets, developing accurate models depends on the speed with which data scientists can cycle through multiple data preparation techniques and iterate on highly complex neural nets. Using Lumiata as an example, we'll describe: the computing infrastructure needed to develop and apply AI in healthcare; the delta value we experienced in processing speed of GPUs vs CPUs; increased accuracy and transferability due to larger and more complex input vectors/tensors; how GPUs accelerate feature selection for more accurate models; and opportunities for the industry in using GPU-accelerated AI for chronic disease prediction.


Additional Session Information
Intermediate
Talk
AI in Healthcare Summit AI Startup Accelerated Analytics Deep Learning and AI Healthcare and Life Sciences
Healthcare & Life Sciences
25 minutes
Session Schedule