DeepHyper: Scalable Automated Machine Learning for Scientific Applications
Conversations on Applied AI
English - May 31, 2022 09:00 - 44 minutes - 30.5 MBTechnology artificial intelligence machine learning data science deep learning technology internet of things iot thought leadership Homepage Download Google Podcasts Overcast Castro Pocket Casts RSS feed
The conversation this week is with Prasanna Balaprakash. Prasanna is a group leader and computer scientist at the Mathematics and Computer Science Division and the leadership computing facility at Argonne National Laboratory. His research interests span the areas of machine learning, optimization, and high-performance computing. He is the recipient of the US Department of Energy 2018 Early Career Award, and is the artificial intelligence thrust lead at Rapids, the Department of Energy Computer Science Institute that assists application teams in overcoming computer science data and AI challenges. He is the principal investigator on several Department of Energy-funded projects that focus on the Department of scalable machine learning methods for scientific and engineering applications. Prior to Argonne, Prasanna worked as a chief technology officer at Mentis, a machine learning startup in Brussels, Belgium. He received his Ph.D. from IRIDIA, the AI Lab at the UOB, in Brussels, Belgium.
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Emerging Technologies NorthAppliedAI MeetupResources and Topics Mentioned in this Episode
Argonne National LaboratoryRapidsMentisIRIDIAAlgorithm ConfigurationConvolutional neural networkGraph Neural NetworksSurrogate modelNatural Language ProcessingGlobusNeuromorphic ComputingEnjoy!
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