WORKING GROUPS

  • Datasets and Benchmarks; how do we develop and contribute high quality datasets and models to the community and establish best practices on comparing “performance”?
    • Chair: Adam Fuks, NXP Semiconductors
  • Blueprints; what are solutions deployed in key industry verticals that we can turn into blueprints including guidance documents code snippets, datasets, models and reference hardware to accelerate deployments?
    • Chair: Davis Sawyer, NXP Semiconductors
  • Neuromorphic; how do we accelerate efforts like neurobench for comparisons, cooperation with MATRIX and neuro-commons and other key areas for industry and academic benefit?
    • Co-Chairs: Professor Charlotte Frenkel, Delft University, Dr. Petrut Antoniu Bogdan, Inaterra
  • GenAI Edge; addressing the entire stack from metal to cloud – exploring all of the innovations that enable generative AI on the edge, as well as key scenarios, acting as the Technical Program Committee for our GenAI EDGE online forum series.
    • Co-Chairs: Danilo Pau, STMicroelectronics, Professor Hajar Moussanif, CAYAD University Morocco
  • Audio;how do we establish best practices in audio AI, canonical scenarios, benchmarks and best integrate academic research
    • Chair: Elia Shenberger, Ceva
  • Marketing; effective storytelling to highlight the impact of “AI in the real world” across our partner organizations
    • Co-Chairs: Eric Smiley, embedUR, and Steve Brightfield, Brainchip