Dr Pietro Mazzaglia is a Senior Machine Learning Researcher at Qualcomm Research Netherlands. He did his PhD at Ghent University, Belgium, with the dissertation title "Efficient Learning Strategies for Embodied Intelligence." Dr Mazzaglia's main research areas are embodied AI, robotics, world models, and deep reinforcement learning. In this episode, we discuss embodied AI, the gap between neuroscience and AI research, multimodal foundation world models, computational phenomenology, the ARC-AGI, drawbacks of LLMs, and general artificial intelligence.

You can find more of Dr Mazzaglia's work at https://mazpie.github.io/

Watch the ⁠⁠⁠⁠⁠⁠⁠⁠⁠video version ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

RSam Podcast #57

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{Reference Links}

https://mazpie.github.io/#research

https://link.springer.com/article/10.1007/s11023-023-09638-w

https://arcprize.org/arc

{Music Used}

"Supapao - Can't Fall In Love" is under a Free To Use YouTube license ⁠⁠⁠⁠⁠https://soundcloud.com/supapao⁠⁠⁠⁠⁠

Music powered by ⁠⁠⁠⁠⁠BreakingCopyright⁠⁠⁠⁠⁠

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