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GTC ON-DEMAND

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Abstract:

Pacific Northwest National Laboratory's scientific mission spans energy, molecular science to national security. Under the Deep Learning for Scientific Discovery Initiative, PNNL has invested in integrating advanced machine learning with traditional scientific methods to push the state-of-the-art in many disciplines. We will provide an overview of some of the thirty projects we have stewarded, demonstrating how we have leveraged computing and analytics in fields as diverse as ultrasensitive detection to metabolomics to atmospheric science.

Pacific Northwest National Laboratory's scientific mission spans energy, molecular science to national security. Under the Deep Learning for Scientific Discovery Initiative, PNNL has invested in integrating advanced machine learning with traditional scientific methods to push the state-of-the-art in many disciplines. We will provide an overview of some of the thirty projects we have stewarded, demonstrating how we have leveraged computing and analytics in fields as diverse as ultrasensitive detection to metabolomics to atmospheric science.

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Topics:
HPC and AI
Type:
Talk
Event:
Supercomputing
Year:
2018
Session ID:
SC1823
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Abstract:
Big science has often been accompanied by big data, but scientists have often been stymied by the best way to leverage their data-rich observations. By combining advanced scientific computing with cutting edge deep learning, we have been able to broadly apply deep learning through-out our scientific mission. From high energy physics to computational chemistry to cyber-security, we are enhancing the pace and impact of diverse scientific disciplines by bringing together domain scientists and deep learning researchers across our laboratory. We are seeing in field after field, deep learning is driving transformational innovation, opening the door to a future of data-driven scientific discovery.
Big science has often been accompanied by big data, but scientists have often been stymied by the best way to leverage their data-rich observations. By combining advanced scientific computing with cutting edge deep learning, we have been able to broadly apply deep learning through-out our scientific mission. From high energy physics to computational chemistry to cyber-security, we are enhancing the pace and impact of diverse scientific disciplines by bringing together domain scientists and deep learning researchers across our laboratory. We are seeing in field after field, deep learning is driving transformational innovation, opening the door to a future of data-driven scientific discovery.  Back
 
Topics:
HPC and Supercomputing
Type:
Talk
Event:
SIGGRAPH
Year:
2017
Session ID:
SC1714
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