IEEE Conference on Artificial Intelligence (IEEE CAI) The IEEE Conference on Artificial Intelligence (IEEE CAI) is an international conference and exhibition with an emphasis on the applications of AI and key AI verticals that impact industrial technology applications and innovations. You’ll learn about new research and breakthroughs in the industry, gain insight into new start-ups […]
Archive for the ‘Congress’ Category
CFP: Workshop on Workshop on Unmasking (Truly) Deepfakes located with IEEE CAI 2025: May 5-7, 2025 in Santa Clara, California, USA
February 12th, 2025
Daniela Lopez de Luise Extended deadline: Call for participation to the 22nd Int.l Summer School on Biometrics – June 2-6 2025
February 12th, 2025
Daniela Lopez de Luise ∞∞ Please accept our sincere apologies for receiving multiple copies of this announcement ∞∞ 22nd Int.l Summer School for Advanced Studies on Biometrics in the Generative AI Era Alghero, Italy – June 2 – 6 2025 http://biometrics.uniss.it Contact: tista@uniss.it Extended application deadline: MARCH 2nd 2025 (download the application form at: http://biometrics.uniss.it) For the past 20 […]
Workshop on Human-Centred Machine Learning: Bridging Design, Development, and Social Impact (March 6-7, 2025, Lugano – Switzerland)
February 12th, 2025
Daniela Lopez de Luise Special Session on AI in Surgery
February 12th, 2025
Daniela Lopez de Luise Special Session on AI in Surgery Hosted at the 29th Conference on Medical Image Understanding and Analysis, MIUA 2025, 15 – 17 July 2025, Leeds, UK. https://hazratali.github.io/aisur/ Dear colleagues We invite submissions to the special session on AI in Surgery hosted at MIUA 2025 – the UK premier conference on Medical Image Understanding and Analysis. MIUA […]
Second MetaFood Workshop at CVPR 2025
February 12th, 2025
Daniela Lopez de Luise We are pleased to announce the call for papers for “The Second MetaFood Workshop” at CVPR 2025. ============================The MetaFood Workshop is a premier venue for research that addresses the pressing challenges of applying state-of-the-art computer vision algorithms to food-related data. While modern computer vision models excel on well-curated datasets, they struggle when confronted with food […]




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