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MLBench is a framework for benchmarking distributed machine learning algorithms. The main goals of MLBench are to provide a fair benchmarking suite for software and hardware systems and to provide reference implementations for the most common distributed m ...
We present an overview of the onetep program for linear-scaling density functional theory (DFT) calculations with large basis set (plane-wave) accuracy on parallel computers. The DFT energy is computed from the density matrix, which is constructed from spa ...
Innovation is crucial and decisive for the long-term development of a metropolitan region in the global economy. While firms certainly play a significant role in the development of specific innovation, the environment that nur-tures innovative firms and di ...
The extremely high recognition accuracy achieved by modern, convolutional neural network (CNN) based face recognition (FR) systems has contributed significantly to the adoption of such systems in a variety of applications, from mundane activities like unlo ...
The Sloan Digital Sky Survey V (SDSS-V) is an all-sky spectroscopic survey of more than 6 million objects, designed to decode the history of the Milky Way, reveal the inner workings of stars, investigate the origin of solar systems, and track the growth of ...
This paper relates a comparative approach to the urbanisation processes of the valleys in Brussels and Montreal by the students of the atelier d’urbanisme opérationnel from the graduate master program in urbanism and spatial planning at UCLouvain (Belgium) ...
While ambitious environmental objectives are being set for new constructions in Switzerland, the assessment of urban-scale projects and comparison of their performance to national targets are made possible by a growing number of life-cycle assessment (LCA) ...
The need for good software training is essential in the HEP community. Unfortunately, current training is non -homogeneous and the definition of a common baseline is unclear, making it difficult for newcomers to proficiently join large collaborations such ...
Monitoring and interpreting structural response using structural-identification methodologies improves understanding of civil-infrastructure behavior. New sensing devices and inexpensive computation has made model-based data interpretation feasible in engi ...
This chapter is based on recent empirical data on Tunisians living in Switzerland. It focuses on their migration pathways and experiences, and it examines their propensity to engage in entrepreneurial and business activities in their home country. Despite ...