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Leigh Anne Clevenger (Design Automation Data Scientist, Silicon Integration Initiative, Inc.)
Rhett Davis (Professor, Electrical and Computer Engineering, North Carolina State University)
Leon Stok (Vice President, Electronic Design Automation, IBM)
John Ellis (President and CEO, Silicon Integration Initiative, Inc.)
Norman Chang (Chief Technologist, Semiconductor BU, ANSYS)
Ramond RodrÃguez (Director of Strategic CAD Capabilities, Intel)
Location: Ballroom D
Date: Thursday, January 30
Time: 3:45 pm - 5:00 pm
Format: Panel Discussion
Pass Type: 2-Day Pass, All-Access Pass, Alumni All-Access Pass, Boot Camp Pass, Expo Pass - Get your pass now!
Vault Recording: TBD
Audience Level: All
A roadmap is "a plan or strategy intended to achieve a particular goal." Currently, EDA has no roadmap for ML/AI with a time-table to meet design and manufacturing needs. A roadmap would provide a framework to study targeted ML/AI functions and describe dependencies between industry organizations. Defining functional needs with business goals will identify methodology gaps for new R&D from industry and academia.
Industry and academic experts will discuss and debate the following areas critical to developing an EDA ML/AI roadmap: concept unification, software interoperability, high-volume data handling and exchange, and learning from other disciplines.
In this panel, industry and academic experts will discuss and debate the following areas critical to developing an EDA ML/AI roadmap: concept unification, software interoperability, high-volume data handling and exchange, and learning from other disciplines.
SLIDES_Track14_EDARoadmapforMachineLearningPanel_Clevenger_final.pdf