It is a non-deterministic challenge on fog computing network to schedule resources or jobs in manner that increases device efficacy and throughput, diminishes reply period, maintains the system well-adjusted. Using Machine Learning as component of neural computing, we developed an improved Task Group Aggregation (TGA) overflow handling for environments. As result TGA usage conjunction with Arti...

Memristor crossbar arrays are used in a wide range of in-memory and neuromorphic computing applications. However, memristor devices suffer from non-idealities that result the variability conductive states, making programming them to desired analog conductance value extremely difficult as device ages. In theory, memristors can be nonlinear programmable resistor with memory properties take infini...