Abstract: A computing system includes a processor that executes program instructions and memory for storing the program instructions. The program instructions include an artificial neural network (ANN) that receives input data. The ANN maps the input data to a latent representation of the input data. The ANN maps the latent representation of the input data to a reconstruction of the input data. The computing system adapts learning features of an artificial intelligence model based on an output of the ANN.

Abstract: Methods and systems for analyzing and improving performance of computer codes. In some embodiments, a method comprises executing, via one or more processors, program code; collecting, via the one or more processors, one or more hardware dependent metrics for the program code; identifying an execution anomaly based on the one or more hardware dependent metrics, wherein the execution anomaly is present when executing the program code; and designing a modification of the program code via the one or more processors, wherein the modification addresses the execution anomaly. In some other embodiments, a method comprises collecting one or more hardware independent metrics for program code; receiving one or more characteristics of a computing device; and estimating, based on the one or more hardware independent metrics and the one or more characteristics, a duration for execution of the program code on the computing device.