As AI, model-based systems engineering and digital thread strategies evolve, they're transforming how organizations define ...

The ability to operate across multiple timescales is vital for the flexibility enhancement of integrated electricity and heating systems (IEHS). Nonetheless, the common dependence on numerical solvers ...

The permanent intensification of information required in embedded systems leads to migration from single core to multicore systems which offer increased performance, allowing different software and ...

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization" - isl-org/MultiObjectiveOptimization ...