Topic: embodied AI

The A. Mathis Group for Computational Neuroscience and AI (CNAI), led by Professor Alexander Mathis, is recruiting two postdoctoral fellows. The group studies how to measure and understand behaviour with AI, how brains and embodied agents learn to control the body, and how the brain builds a sense of the body through proprioception; it develops open-source tools such as DeepLabCut and trains biomechanically realistic embodied agents. Position 1 (computer vision and AI for behaviour analysis) covers behavioural datasets for animal groups, animal and environment reconstruction, behaviour underst

Dhruv Batra connects embodied AI research with browser agents at Yutori. He explains why navigation from pixels to actions links virtual robots and web interaction, then discusses reinforcement learning on live websites, simulation-to-reality gaps and teleoperation. The conversation also examines competing views of intelligence, claims about scaling and the implications of agent-mediated browsing for the web. Hosted by Ravid Shwartz Ziv and Allen Roush. Watch the full conversation on the publisher’s YouTube channel.