The Boltzmann Machine (BM) is a neural network composed of stochastically firing neurons that can learn complex probability distributions by adapting the synaptic interactions between neurons. BMs represent very generic class stochastic networks be used for data clustering, generative modelling and deep learning. A key drawback software-based required Monte Carlo sampling, which scales intracta...

The first article of this research series discussed the critical issues involved in apprehension present-day agenda geomechanics. current perception is that mining science needs deeplaid and long-term solutions to go with up-to-date expectations. This continues debating on feasible interaction between technoscience (geosciences, particular) philosophy science. A brief description history given....

INTRODUCTION Budgetary challenges and launch access limitations have historically constrained the ability to field new space capabilities and technologies for many U.S. government organizations focused on civil and national security alike. Throughout the past decade, advances in highly reliable commercial electronics, miniaturization techniques, and materials have enabled a new class of small n...