Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for managing training for models. An example apparatus includes a processor circuitry to at least obtain a request to train or retrain a model, respond to the request by preventing the train or retraining, calculate at least one performance metric, and compare performance metric corresponding to current model execution to at least one threshold performance metric.

Abstract: The present invention relates to a process for hardening an aluminum-based matrix alloy by the dispersion of metallized graphite (MG) with copper and optionally zinc or boron by the agitation in liquid state. By this means, the impregnating of MG particles (reinforcing phase) is increased, facilitating the homogenous distribution in the aluminum-base matrix alloy. The mechanical properties of aluminum or aluminum-based are increased alloys by the process of hardening by dispersion, without affecting the density and electrical conductivity of the alloy.

Abstract: The present invention relates to a process for hardening an aluminum-based matrix alloy by the dispersion of metallized graphite (MG) with copper and optionally zinc or boron by the agitation in liquid state. By this means, the impregnating of MG particles (reinforcing phase) is increased, facilitating the homogenous distribution in the aluminum-base matrix alloy. The mechanical properties of aluminum or aluminum-based are increased alloys by the process of hardening by dispersion, without affecting the density and electrical conductivity of the alloy.