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...

Near Field Communication (NFC) is a short range radio frequency technology. Because of the short range, cloning attacks of NFC devices are impractical. To make this possible, you would need to be very close to the tag. Currently, a lot of research has been done on NFC range extension. However, almost all of this research is executed in a lab environment that is not comparable to a day-to-day wo...

Rapid expansion has strained the capabilities of the Internet infrastructure. Emerging audio and video applications place further demands on already overloaded network elements, especially the routers. An important challenge for the future growth of the Internet is to design routers that can forward the exponentially increasing volume of traac, and at the same time provide the service diierenti...