Research Interests: Computer Science, Grid Computing, Science, Archives, International Cooperation, and 15 moreE Science, Research, Data curation, Medicine, Multidisciplinary, The Internet, Standardization, Database Management Systems, Data Science, Open Standards, Information Storage and Retrieval, Grid, Information Dissemination, Semantic Grid, and Data Preservation
Research Interests: Computer Science, Chemistry, Computational Biology, Science, E Science, and 15 moreResearch, Williams Syndrome, Medicine, Multidisciplinary, Semantics (Computer Science), Software, Data Science, Cyberinfrastructure, Computer communication networks, Internet, service Business, Graves Disease, Computing Methodologies, Databases as topic, and Chemical Phenomena
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The Advanced Scientific Computing Advisory Committee (ASCAC) was charged to form a standing subcommittee to review the Department of Energy’s Office of Scientific and Technical Information (OSTI) and to begin by assessing the quality and... more
The Advanced Scientific Computing Advisory Committee (ASCAC) was charged to form a standing subcommittee to review the Department of Energy’s Office of Scientific and Technical Information (OSTI) and to begin by assessing the quality and effectiveness of OSTI’s recent and current products and services and to comment on its mission and future directions in the rapidly changing environment for scientific publication and data. The Committee met with OSTI staff and reviewed available products, services and other materials. This report summaries their initial findings and recommendations.
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1. Introduction It is well known that classical mechanics can be reformulated in terms of a minimum principle. The Euler-Lagrange equations of motion follow from demanding that the action t S[x( t») = L(x,x)dt " be stationary with... more
1. Introduction It is well known that classical mechanics can be reformulated in terms of a minimum principle. The Euler-Lagrange equations of motion follow from demanding that the action t S[x( t») = L(x,x)dt " be stationary with respect to variations in the path x( t) taken between ...
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e-Infrastructure and e-Science. Tony Hey, David De Roure, Anne Trefethen True Visions: The Emergence of Ambient Intelligence. Heidelberg, Springer-Verlag Berlin Heidelberg, 2006., 209-229, 4/2006. Abstract not available. 60 Artificial... more
e-Infrastructure and e-Science. Tony Hey, David De Roure, Anne Trefethen True Visions: The Emergence of Ambient Intelligence. Heidelberg, Springer-Verlag Berlin Heidelberg, 2006., 209-229, 4/2006. Abstract not available. 60 Artificial Intelligence(General)(CI).
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Here we describe the requirements of an e-Infrastructure to enable faster, better, and different scientific research capabilities. We use two application exemplars taken from the United Kingdom's e-Science Programme to illustrate... more
Here we describe the requirements of an e-Infrastructure to enable faster, better, and different scientific research capabilities. We use two application exemplars taken from the United Kingdom's e-Science Programme to illustrate these requirements and make the case for a service-oriented infrastructure. We provide a brief overview of the UK “plug-and-play composable services” vision and the role of semantics in such an e-Infrastructure.
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The breakthrough in Deep Learning neural networks has transformed the use of AI and machine learning technologies for the analysis of very large experimental datasets. These datasets are typically generated by large-scale experimental... more
The breakthrough in Deep Learning neural networks has transformed the use of AI and machine learning technologies for the analysis of very large experimental datasets. These datasets are typically generated by large-scale experimental facilities at national laboratories. In the context of science, scientific machine learning focuses on training machines to identify patterns, trends, and anomalies to extract meaningful scientific insights from such datasets. With a new generation of experimental facilities, the rate of data generation and the scale of data volumes will increasingly require the use of more automated data analysis.
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The paper examines the roles played by superposition and entanglement in quantum computing. The analysis is illustrated by discussion of a "classical" electronic implementation of Grover's quantum search algorithm. It is... more
The paper examines the roles played by superposition and entanglement in quantum computing. The analysis is illustrated by discussion of a "classical" electronic implementation of Grover's quantum search algorithm. It is shown explicitly that the absence of multi-particle entanglement leads to exponentially rising resources for implementing such quantum algorithms.
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This paper reviews some of the challenges posed by the huge growth of experimental data generated by the new generation of large-scale experiments at UK national facilities at the Rutherford Appleton Laboratory (RAL) site at Harwell near... more
This paper reviews some of the challenges posed by the huge growth of experimental data generated by the new generation of large-scale experiments at UK national facilities at the Rutherford Appleton Laboratory (RAL) site at Harwell near Oxford. Such ‘Big Scientific Data’ comes from the Diamond Light Source and Electron Microscopy Facilities, the ISIS Neutron and Muon Facility and the UK's Central Laser Facility. Increasingly, scientists are now required to use advanced machine learning and other AI technologies both to automate parts of the data pipeline and to help find new scientific discoveries in the analysis of their data. For commercially important applications, such as object recognition, natural language processing and automatic translation, deep learning has made dramatic breakthroughs. Google's DeepMind has now used the deep learning technology to develop their AlphaFold tool to make predictions for protein folding. Remarkably, it has been able to achieve some spe...
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Motivated by the instabilities of the vacuum to bound-state pair production at large coupling in both abelian and non-abelian gauge theories, we examine the stability of the vacuum of a constrained version of massless scalar... more
Motivated by the instabilities of the vacuum to bound-state pair production at large coupling in both abelian and non-abelian gauge theories, we examine the stability of the vacuum of a constrained version of massless scalar electrodynamics to the formation of a scalar pair condensate. The trial states are constructed by analogy with the BCS ground state of super-conductivity and are
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The theory of classical massless scalar electrodynamics in the presence of a large external source is examined in both one and three spatial dimensions. In three dimensions the Coulomb solution is shown to be unstable above a critical... more
The theory of classical massless scalar electrodynamics in the presence of a large external source is examined in both one and three spatial dimensions. In three dimensions the Coulomb solution is shown to be unstable above a critical coupling strength; the one-dimensional Coulomb solution is shown to be unstable for any value of the coupling. Finite-energy solutions of the one-dimensional problem are explicitly exhibited. In these solutions, the external charge is completely screened by the charged scalar field, and no trace remains of the original long-range potential.
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A view of semantic computing and its role in research.
ABSTRACT
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An investigation is made of the relation between the fault tolerance of a multilayer perceptron (MLP) and its redundancy as determined by the number of hidden-layer neurons (x). Damage was introduced by cutting connections. The... more
An investigation is made of the relation between the fault tolerance of a multilayer perceptron (MLP) and its redundancy as determined by the number of hidden-layer neurons (x). Damage was introduced by cutting connections. The application studied is the classification of coins according to their acoustic emissions after striking a hard object. Several MLPs were trained by backpropagation to discriminate
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... Anthony JG Hey Christopher J. Scott, Michael Surridge & Colin Upstill Department of Electronics and Computer Science University of ... These enabled several comput-ers to form a shareable pool of dedicated computational resources... more
... Anthony JG Hey Christopher J. Scott, Michael Surridge & Colin Upstill Department of Electronics and Computer Science University of ... These enabled several comput-ers to form a shareable pool of dedicated computational resources onto which workloads could be ...
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1. Save British Science is pleased to submit this response to the committee's inquiry into scientific publications. SBS is a voluntary organisation campaigning for the health of science and technology throughout UK society, and is... more
1. Save British Science is pleased to submit this response to the committee's inquiry into scientific publications. SBS is a voluntary organisation campaigning for the health of science and technology throughout UK society, and is supported by over 1,500 individual members, and some 70 ...