Rajesh Poddar
@rajeshpod
Founder http://zeroKlabs.xyz. Grew up in Nepal. Princeton Physics. Harvard Neuroscience. Jump HFT.
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While implementing the mujoco physics simulator from scratch I came up with a surprisingly simple implementation of sparse cholesky decomposition without explicitly using matrices or indexing. The key is to represent a symmetric matrix with tree-structured sparsity as a…
I still don't believe that Spatial AI is a big data problem. Massive data won't unlock robotics. Representation is still the hard bit. We need efficient, composable representation of 3D physical scenes to enable mental simulation like humans use to plan creative uses of objects.
Seems like a good moment to tweet a few quotes from my 2018 position paper: FutureMapping: The Computational Structure of Spatial AI Systems. #SpatialAI arxiv.org/abs/1803.11288
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