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Artificial Intelligence For Science: A Deep Learning Revolution
This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources — telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential.The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress.
Open Science in Africa
There is an ongoing transition in the research enterprise towards Open Science (OS), increasing transparency in researchers’ collaboration, knowledge exchange, and how science is organized. The Open Access (OA) movement can be seen as a case study of the challenges that this transition can present. For example, despite all the advantages of OA and the fact that the concept is exceptionally strong as a principle, it is yet to be implemented across all institutions, particularly in Africa. Even though research productivity from the African continent has increased over the last two decades, the global north still dominates the scholarly communication and publication sphere. High article proce...
Optical and Digital Image Processing
In recent years, Moore's law has fostered the steady growth of the field of digital image processing, though the computational complexity remains a problem for most of the digital image processing applications. In parallel, the research domain of optical image processing has matured, potentially bypassing the problems digital approaches were suffering and bringing new applications. The advancement of technology calls for applications and knowledge at the intersection of both areas but there is a clear knowledge gap between the digital signal processing and the optical processing communities. This book covers the fundamental basis of the optical and image processing techniques by integrating ...
The Labyrinth of Star Formation
This volume contains the proceedings from the conference "The Labyrinth of Star Formation" that was held in Crete, Greece, in June 2012, to honour the contributions to the study of star formation made by Professor Anthony Whitworth of Cardiff University. The book covers many aspects of theoretical and observational star formation: low-mass star formation; young circumstellar discs; computational methods; triggered star formation; the stellar initial mass function; high-mass star formation and stellar clusters. Each section starts with a review paper, followed by papers discussing recent theoretical and observational work. This volume summarises our current understanding of star formation and is useful for both graduate students and researchers alike.
Low Frequency Radio Observations of Galaxy Clusters and Groups
This book uses new data from the very low radio frequency telescope LOFAR to analyse the magnetic structure in the giant radio galaxy NGC6251. This analysis reveals that the magnetic field strength in the locality of this giant radio galaxy is an order of magnitude lower than in other comparable systems. Due to the observational limitations associated with capturing such huge astrophysical structures, giant radio galaxies are historically a poorly sampled population of objects; however, their preferential placement in the more rarefied regions of the cosmic web makes them a uniquely important probe of large-scale structures. In particular, the polarisation of the radio emissions from giant r...
Ethical Evidence and Policymaking
EPDF and EPUB available Open Access under CC-BY-NC-ND licence. This important book offers practical advice for using evidence and research in policymaking. The book has two aims. Firstly, it builds a case for ethics and global values in research and knowledge exchange, and secondly, it examines specific policy areas and how evidence can guide practice. The book covers important policy areas including the GM debate, the environment, Black Lives Matter and COVID-19. Each chapter assesses the ethical challenges, the status of evidence in explaining or describing the issue and possible solutions to the problem. The book will enable policymakers and their advisors to seek evidence for their decisions from research that has been conducted ethically and with integrity.
Background Microwave Radiation and Intracluster Cosmology
Focuses on the Sunyaev-Zeldovich (S-Z) effect, and related topics in cluster and CMB research. The pedagogical reviews and technical seminars included in this volume represent important topics in S-Z work and in the astrophysics of clusters. This work touches upon various aspects of the S-Z effect and its use as a cluster and cosmological probe.
