arXiv paper VAMR introduces a video agent that handles multiple questions about a long video through one shared tool-use trajectory, letting a persistent policy gather and reuse evidence across questions…

#AIResearch #VideoUnderstanding #AgenticAI #MachineLearning
https://arxiv.org/abs/2610.11171

The University of Technology Nuremberg's FunAI Lab is offering a PhD position in Vision-Language-Action models, focusing on video...

mlscientist.com/phd-vision-l...

#PhDposition #VisionLanguageActionmodels #videounderstanding