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DTSTAMP:20240626T180034Z
LOCATION:Level 2 Exhibit Hall
DTSTART;TZID=America/Los_Angeles:20240625T170000
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UID:dac_DAC 2024_sess233_ETPOST187@linklings.com
SUMMARY:WatsonX and DDB for AI Based Design Analytics and Visualization
DESCRIPTION:Engineering Track Poster\n\nKerim Kalafala, Nathaniel Hieter, 
 and Douglas Keller (IBM)\n\nIn this presentation,  we are very pleased to 
 introduce synergy between watsonx.ai and the Design Data Browser (DDB for 
 short).  DDB is powerful high-performance X-windows based application whic
 h serves as a central cockpit uniting our core timing and physical databas
 e, known as DD, as well as our web-based interactive timing triage environ
 ments TimingVisualizer and Timng Takedown Dashboard.  IBM® watsonx.ai™ AI 
 is part of the IBM watsonx™ AI and data platform that brings together new 
 generative AI capabilities, powered by foundation models and traditional m
 achine learning. With watsonx.ai, you can train, validate, tune and deploy
  generative AI, foundation models and machine learning capabilities with e
 ase and build AI applications in a fraction of the time with a fraction of
  the data.  In the next few charts, we will illustrate how the synergy bet
 ween watsonx.ai and DDB helps address key challenges in timing take-down.\
 n\nTopic: Back-End Design, Embedded Systems, Front-End Design, IP
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