Breakfast and Learn: AI/ML Topics with Andrew Schmidt (AMD)

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Come Join us for a breakfast and learn with Andrew Schmidt (AMD)!

 



  Date and Time

  Location

  Hosts

  Registration



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  • 700 W Research Center Blvd
  • Fayetteville, Arkansas
  • United States 72701
  • Building: ENRC Building
  • Room Number: AT&T Conference Room
  • Click here for Map

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  • Starts 19 April 2025 05:00 AM UTC
  • Ends 07 May 2025 05:00 AM UTC
  • No Admission Charge


  Speakers

Andrew

Topic:

AMD's Ryzen AI platform and NPU

With academics, research, and industry exploring different computer architectures, such as Neural Processing Units (NPUs), we present AMD's Ryzen AI platform and NPU. An overview of AMD's architecture and open-source framework developed by teams from the AMD Research and Advanced Development group and the AMD University Program. AMD Ryzen AI is the world’s first built-in AI engine on select x86 computers. This dedicated engine is built on the AMD XDNA spatial dataflow NPU architecture consisting of a tiled array of AI Engine processors and is designed to offer lower latency and better energy efficiency. This integration optimizes efficiency by offloading specific AI processing tasks freeing up CPU and GPU cycles and enhancing system efficiency. With Ryzen AI-powered laptops or miniPCs, you can develop innovative applications and productivity solutions like Information search, summarization, transcription and so much more. Ryzen AI software lowers the barrier of entry and access to the AMD’s AI Engines and includes a wealth of education material via Juypter Notebooks that makes understanding and using ML accelerators in an ever-increasing heterogenous environment. We are excited to share details of the hardware and software architecture with the community and see how the technology can be leveraged by their work.

Biography:

Andrew Schmidt is a passionate advocate for advancing technology education and research, with a rich background in academia and industry. Currently serving the North America region of the AMD University Program, Andrew leverages his expertise to drive innovation and collaboration within the academic community. In this role, Andrew works closely with university faculty, researchers, and students to promote the adoption of AMD technologies in academic research and curriculum development through workshops, tutorials, and collaborative projects. Andrew received his B.S. and M.S. in Computer Engineering from the University of Kansas and his Ph.D. in Electrical Engineering from the University of North Carolina at Charlotte.