Abstract: The unsustainable rise in energy cost from increasingly capable deep learning systems spurs computer architecture innovation beyond conventional deep learning accelerators such as GPUs.

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...