The global energy grid is undergoing a profound transformation. Moving from traditional centralized control systems to more dynamic, distributed structures, thi ...

Training a machine learning algorithm to accurately solve complex problems requires ... Once the training data is prepared, a distributed MPI application is then used to adjust the parameters of the ...

Discover how artificial intelligence is revolutionizing manufacturing processes, from automation and efficiency to supply ...

The algorithms will play a significant role ... “In addition to applications in the military domain, coresets and distributed machine learning in general are also widely applicable in the ...

Climate volatility and rising energy demand have resulted in unprecedented challenges throughout the world. Unfortunat ...

A machine-learning algorithm demonstrated the capability ... and analyze extremely large data sets efficiently." The distributed algorithm for modern and heterogeneous high-performance computer ...

3 Integrating machine learning with parameter adjustment ... pure ALOHA and slotted ALOHA mechanisms and implementing distributed algorithms, the study aims to further enhance the performance ...