Working Groups are populated by Partners and Academia to drive cross industry initiatives and best practices in a neutral and collaborative environment.
- 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
- Read the Working Group white paper
- Visit EDGE AI Labs for datasets, community code, challenges and more.
- Industry; bring the voice of end users and industry segments into our community via Blueprints livestream, solution analysis, and industry symposiums
- Co-Chairs: Davis Sawyer, NXP Semiconductors, Sarah Hemmer, Imagimob (Infineon)
- 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, Innatera
- Generative Edge AI; addressing the entire stack from metal to cloud – exploring all of the innovations that enable generative and agentic AI on the edge, as well as key scenarios, acting as the Technical Program Committee for our Generative Edge AI online forum series.
- Co-Chairs: Danilo Pau, STMicroelectronics, Professor Hajar Moussanif, Cadi Ayyad University Morocco
- Read the Working Group white paper
- Audio;how do we establish best practices in audio AI, canonical scenarios, benchmarks and best integrate academic research
- Chair: Tomer Badug, Elia Shenberger, Ceva
- Marketing; effective storytelling to highlight the impact of “AI in the real world” across our partner organizations with market research and analyst outreach
- Co-Chairs: Eric Smiley, embedUR, and Steve Brightfield, Brainchip
- Co-Chairs: Eric Smiley, embedUR, and Steve Brightfield, Brainchip
- Career; development programs to connect and inform professionals students with high performance edge AI careers
- Chair: Luke Perrins, 5V
- View the EDGE AI Career livestreams and recordings