Computing-in-memory　(CiM)　is　a　popular　design　alternative　to　overcome　the　von　Neumann　bottleneck　and　improve　the　performance　of　artificial　intelligence　computing　applications.　Monolithic　three-dimensional　(M3D)　technology　is　a　promising　solution　to　extend　Moore＇s　law　through　the　development　of　CiM　for　data-intensive　applications.　In　this　article,　we　first　discuss　the　motivation　and　challenges　associated　with　two-dimensional　CiM　designs,　and　then　examine　the　possibilities　presented　by　emerging　M3D　technologies.　Finally,　we　review　recent　advances　and　trends　in　the　implementation　of　CiM　using　M3D　technology.