How to Build Optimized ML Applications with Arm Software - Sponsored By Arm

  • Robert Elliott, Arm

Discover how developers are using the Compute Library, CMSIS-NN and Arm NN to develop AI applications targeting CPUs, GPUs and new processor architectures for Machine Learning (ML). After a brief overview of Arm’s ML software offerings, the talk will examine real-world use cases and how the ARM ML software libraries and APIs may be leveraged to create highly optimized ML applications for platforms ranging from Cortex-M microcontrollers to Cortex-A CPUs, Mali GPUs and the new Arm ML Processor (Marvin). To conclude, the talk will review the roadmap for Arm NN and related low-level software libraries, while looking at some of the challenges ML presents in low-power environments.

  • Date:Thursday, October 18
  • Time:1:30 PM - 2:20 PM
  • Location:Meeting Room 211A/C
  • Session Type:Sponsored Session
  • Room:Meeting Room 211A/C
  • Pass Type:All-Access Pass, Expo Floor Pass