AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is argued that humanoid robots, although not equivalent to humans, could offer a unique opportunity to use the neural signals associated with touch, or other embodiment-dependent neural signals to expand the range of brain regions and functional networks that could be targeted for brain-trained artificial intelligen...
It is hypothesized that neuroimaging data could open a window into elements of human cognition that are not accessible through observable actions, and it is argued that this additional knowledge could be used, alongside classical training data, to overcome some of the current limitations of foundation models.
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