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Demystifying AI: How Neural Networks Like Transformers Really Work

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Manage episode 361862440 series 2426529
Content provided by EE Times On Air. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by EE Times On Air or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Today’s feature interview is with Gordon Cooper, Product Manager for AI and neural network processor IP at Synopsys. We cover the differences between Generative AI and object detection AI, as well as compared Generative AI to embedded AI. We’ll discuss ChatGPT, a transformer AI model, and explain its ability to identify patterns within large datasets. We will also discuss the challenges of implementing transformers in embedded spaces, along with the different areas where AI is being implemented in volume applications

  continue reading

251 episodes

Artwork
iconShare
 
Manage episode 361862440 series 2426529
Content provided by EE Times On Air. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by EE Times On Air or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Today’s feature interview is with Gordon Cooper, Product Manager for AI and neural network processor IP at Synopsys. We cover the differences between Generative AI and object detection AI, as well as compared Generative AI to embedded AI. We’ll discuss ChatGPT, a transformer AI model, and explain its ability to identify patterns within large datasets. We will also discuss the challenges of implementing transformers in embedded spaces, along with the different areas where AI is being implemented in volume applications

  continue reading

251 episodes

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