Machine learning using large data sets is a computationally intensive process. One technique that offers an inexpensive opportunity to reduce the wall time for machine learning is to perform the learning in parallel. Raising the level of abstraction of the parallelization to the application level allows existing learning algorithms to be used without modification while providing the potential f...

Abstract The generation of low-energy 3D structures metal clusters depends on the efficiency search algorithm and accuracy inter-atomic interaction description. In this work, we formulate as a reinforcement learning (RL) problem. Concisely, propose novel actor-critic architecture that generates low-lying isomers at fraction computational cost than conventional methods. Our RL-based uses previou...

Clusters of galaxies mass can be inferred by indirect observations, see X-ray band, Sunyaev-Zeldovich (SZ) effect signal or optical. Unfortunately, all them are affected some bias. Alternatively, we provide an independent estimation the cluster masses from Planck PLSZ2 catalog galaxy clusters using a machine-learning method. We train Convolutional Neural Network (CNN) model with mock SZ observa...

The recent GPU-based clusters that handle deep learning (DL) tasks have the features of GPU device heterogeneity, a variety neural network (DNN) models, and high computational complexity. Thus, traditional power capping methods for CPU-based or small-scale devices cannot be applied to handling DL tasks. This article develops cooperative distributed (CD-GPC) system clusters, aiming minimize trai...

This essay argues that if social justice is to prevail in our world, we must understand the post-secular nature of our globalized society as a prerequisite for moving beyond “might is right” to national and international relations that heed all voices towards evidence-based interaction. The authors post-secular world and postmetaphysical world-orientation requires of us complementary learning p...

• Zircaloy-2 was analysed after in-reactor exposure using APT in voltage mode. Clusters of Fe and Ni were disc-shaped, clusters Cr spheroidal. Fe–Ni Fe–Cr seem to be associated with radiation-induced -loops. segregation the loop plane. smaller denser than clusters. This study is complementary previous atom probe tomography (APT) studies irradiation effects zirconium alloy Zircaloy-2. Using p...