Abstract: A system and method for offloading autonomous driving tasks is disclosed. The system includes a plurality of computing nodes comprising one or a plurality of computing nodes located on a vehicle, one or a plurality of computing nodes located on edge devices, and one or a plurality of computing nodes located on cloud devices. The system further includes a modeling module configured to create a system model that comprises a communication latency between each pair of computing nodes among the plurality of computing nodes. The system also includes an allocation module configured to allocate a plurality of autonomous driving tasks of an autonomous driving service based on the system model in order to offload each autonomous driving task to one of the plurality of computing nodes, wherein the allocation is performed such that the end-to-end latency of the autonomous driving service is minimized.

Abstract: Disclosed are compositions and methods for achieving successful treatment of disorders of the human prostate. In preferred embodiments, methods and compositions are provided that improve the specificity and safety of gene delivery vectors, and improve the prostate-specificity and activity of genetic constructs targeted for prostate-specific expression. Also disclosed are methods utilizing a variety of therapeutic genes, including those encoding tumor-specific therapeutics, e.g., TRAIL, tumor suppressors, cytotoxins, and the like, for the treatment of proliferative disorders of the prostate, and in particular, prostatic hyperplasia, prostate cancer and prostatic tumors. In preferred embodiments genetic constructs are disclosed comprising one or more prostate-specific chimeric enhancer elements in combination with one or more wildtype core enhancer elements and a prostate-specific proximal promoter that increase expression of selected heterologous genes operably positioned under their control.