MoM 10/23/2026
GenEdgeAIWG_10232026Download
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Edge AI Defense Symposium 2026
The Edge AI and defense/aerospace community gathered last Friday at Johns Hopkins University Bloomberg Center for an extraordinary day of discussions on the challenges and opportunities in applying edge AI to these mission critical industries.In addition to addressing the lightning fast advancement of edge AI and the intersection with Department
Meeting Minutes (DWG) – Sept 17, 2026
MEETING MINUTES Edge AI Foundation — Defense Working Group In person at WindRiver X and Virtual Meeting | September 17, 2026 DateSeptember 17, 2026FormatOnsite and VirtualAttendeesWorking group members: Pete Bernard (Edge AI Foundation), Sek Chai (Latent AI), Tricia Fitzmaurice (WindRiverX), Tinoosh Mohsenin (Johns Hopkins University), Ethan Wais (Syntiant), Vikash Kodati
MoM 9/25/2026 Generative EDGE AI WG
Generative EDGE AI WG - 2026_09_25 10_59 EDT - Notes by GeminiDownload
Prep Session for GEN EDGE AI workshops on Sep 24
Prep Session for EDGE AI workshops on Sep 24 - 2026_09_16 09_00 CST - Notes by GeminiDownload
Sep 11, 2026
Sep 11, 2026 Generative EDGE AI WG Invited roberto.morabito@eurecom.fr davis.sawyer@nxp.com Evgeni Gousev danilo.pau@st.com msingh@qti.qualcomm.com ashutosh2.kumar@intel.com raashid.ansari@silabs.com mkstaufferpa@gmail.com simplici@qti.qualcomm.com Rosina Haberl danilopietro.pau@gmail.com m.rueb@foresthub.ai michael.stauffer@alumni.stanford.edu tinoosh@jhu.edu niall.lyons@infineon.com kiruba.subramani@silabs.com ziereis@roofline.ai omar.shrit.zj@renesas.com marcus.rueb@hahn-schickard.de bernd.hollensteiner@renesas.com ashutosh.pandey@infineon.com jonna@embedl.com hajar.mousannif@gmail.com Meeting records Transcript Summary Workshop planning and scheduling coordination via NXP collaborationSeptember Workshop Registration StatusRegistration reached 42
Cross-platform deployment and characterization of an on-device generative conversational agent
1-s2.0-S1383762126002997-mainDownload
Small AI Models Gain Traction Around the World
In places with unreliable networks and no data-center infrastructure, smaller is better Small Language Models Power Life-Saving Small AI - IEEE Spectrum Small Language Models Power Life-Saving Small AI - IEEE SpectrumDownload
