We present a first-principle based approach that leads from many-particle description to nonlinear, stochastic constitutive relation for the modeling of transient heat conduction processes at nano-mechanical scale. By enforcing statistical consistency, in statistics local energy is consistent with an all-atom description, we identify driving force as well model parameters these generalized mode...

In recent years, Web services are becoming more and intelligent (e.g., in understanding user preferences) thanks to the integration of components that rely on Machine Learning (ML). Before users can interact (inference phase) with an ML-based service (ML-Service), underlying ML model must learn (training from existing data, a process requires long-lasting batch computations. The management thes...