Formal Sciences

A novel bibliometric index with a simple geometric interpretation

Birkbeck, University of London

Computer Science Sciences

Researchers from Birkbeck’s Department of Computer Science and Information Systems have proposed an innovative new index to measure the impact […]

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Non-Spherically Symmetric Collapse in AdS Spacetimes

Queen Mary, University of London

Formal Sciences Sciences

Hans Bantilan discusses gravitational collapse in asymptotically anti-de Sitter spacetimes away from spherical symmetry. Publication

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String-Theory-Based Predictions in Strongly Interacting Fermi Gases

Queen Mary, University of London

Formal Sciences Sciences

Very different strongly interacting quantum systems such as Fermi gases, quark-gluon plasmas formed in high energy ion collisions and black […]

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Capacity Upper Bounds for Deletion-Type Channels

Imperial College London

Computer Science Sciences

Mahdi Cheraghchi discusses the systematic approach, based on convex programming and real analysis, for obtaining upper bounds on the capacity […]

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Experience Driven Design of Creative Systems

Goldsmiths, University of London

Computer Science Sciences

Matthew Yee-King describes the novel application of grounded theory to the analysis of a human/machine music performance. Rather than attempting to […]

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Constructionist Learning for Student Coders

Goldsmiths, University of London

Computer Science Professional

For the last decade, there has been growing interest in the STEAM approach (essentially combining methods and practices in arts, […]

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A Visualization of the Classical Musical Tradition

City, University of London

Formal Sciences Sciences

Yang-Hui discusses his study of around 13,000 musical compositions from the Western classical tradition is carried out, spanning 33 major […]

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Calabi-Yau Volumes and Reflexive Polytopes

City, University of London

Formal Sciences Sciences

Yang-Hui He discusses various geometrical quantities for Calabi-Yau varieties realized as cones over Gorenstein Fano varieties, obtained as toric varieties […]

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Deep-Learning the Landscape

City, University of London

Formal Sciences Sciences

Yang-Hui He proposes a paradigm to deep-learn the ever-expanding databases which have emerged in mathematical physics and particle phenomenology, as […]

Modal Learning in a Neural Network

London Metropolitan University

Computer Science

Dominic Palmer-Brown presents an application of the snap-drift modal learning algorithm developed in recent years by Lee and Palmer-Brown. The […]

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