[R] Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack - New York University 2024 - Highly important to make inference much much faster and allows if scaled in the hard and software st

Paper: [https://arxiv.org/abs/2404.03325](https://arxiv.org/abs/2404.03325)

In my opinion, neuromorphic computing is the future as it is far more power efficient than current GPUs that are only optimized for graphics. I think we need an **NPU = neuromorphic processing unit** **in addition to the GPU**. I also found it very important that **models like gpt-4 (MLLM) can be copied and loaded from it**, otherwise they become as useless as the TrueNorth chip, which cannot load models like gpt-4 [https://en.wikipedia.org/wiki/Cognitive\_computer#IBM\_TrueNorth\_chip](https://en.wikipedia.org/wiki/Cognitive_computer#IBM_TrueNorth_chip) . **Spiking neural networks (SNN) …

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