A new AI model, based on the PV-RNN framework, learns to generalize language and actions in a manner similar to toddlers by ...

We humans excel at generalization. If you taught a toddler to identify the color red by showing her a red ball, a red truck ...

We humans excel at generalization. If you taught a toddler to identify the color red by showing her a red ball, a red truck and a red rose, she will ...

and state-space models to enhance the uncertainty representation capability of deep networks. And, by incorporating planar flows (PFs), it relaxes the Gaussian assumption in traditional models, ...

We have shown that state representation and value can be learned in the RNN and its downstream by using random feedback instead of backprop-derived biologically unavailable downstream weights. In the ...

A solid analysis demonstrates that a Euclidean random matrix model of the covariance matrix recapitulates ... Our findings suggest that the functional space could be defined by latent variables that ...