Search results for ""Author Nathan Brown""

Honorable Mention, Aldo and Jeanne Scaglione Prize for Comparative Literary Studies, Modern Language Association Twenty-first-century philosophy has been drawn into a false opposition between speculation and critique. Nathan Brown shows that the key to overcoming this antinomy is a re-engagement with the relation between rationalism and empiricism. If Kant’s transcendental philosophy attempted to displace the opposing priorities of those orientations, any speculative critique of Kant will have to re-open and consider anew the conflict and complementarity of reason and experience. Rationalist Empiricism shows that the capacity of reason and experience to extend and yet delimit each other has always been at the core of philosophy and science. Coordinating their discrepant powers, Brown argues, is what enables speculation to move forward in concert with critique. Sweeping across ancient, modern, and contemporary philosophy, as well as political theory, science, and art, Brown engages with such major thinkers as Plato, Descartes, Hume, Hegel, Marx, Heidegger, Bachelard, Althusser, Badiou, and Meillassoux. He also shows how the concepts he develops illuminate recent projects in the science of measurement and experimental digital photography. With conceptual originality and argumentative precision, Rationalist Empiricism reconfigures the history and the future of philosophy, politics, and aesthetics.

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Honorable Mention, Aldo and Jeanne Scaglione Prize for Comparative Literary Studies, Modern Language Association Twenty-first-century philosophy has been drawn into a false opposition between speculation and critique. Nathan Brown shows that the key to overcoming this antinomy is a re-engagement with the relation between rationalism and empiricism. If Kant’s transcendental philosophy attempted to displace the opposing priorities of those orientations, any speculative critique of Kant will have to re-open and consider anew the conflict and complementarity of reason and experience. Rationalist Empiricism shows that the capacity of reason and experience to extend and yet delimit each other has always been at the core of philosophy and science. Coordinating their discrepant powers, Brown argues, is what enables speculation to move forward in concert with critique. Sweeping across ancient, modern, and contemporary philosophy, as well as political theory, science, and art, Brown engages with such major thinkers as Plato, Descartes, Hume, Hegel, Marx, Heidegger, Bachelard, Althusser, Badiou, and Meillassoux. He also shows how the concepts he develops illuminate recent projects in the science of measurement and experimental digital photography. With conceptual originality and argumentative precision, Rationalist Empiricism reconfigures the history and the future of philosophy, politics, and aesthetics.

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Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.

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Poetry, or poiēsis, has long been understood as a practice of making. But how are experiments in the making of poetic forms related to formal making in science and engineering? The Limits of Fabrication takes up this question in the context of recent developments in nanoscale materials science, investigating concepts and ideologies of form at stake in new approaches to material construction. Tracing the direct pertinence of fields crucial to the new materials science (nanotechnology, biotechnology, crystallography, and geodesic design) in the work of Shanxing Wang, Caroline Bergvall, Christian Bök, and Ronald Johnson back to the midcentury development of Charles Olson’s “objectist” poetics, Nathan Brown carves out a tradition of constructivist, nonorganic poetics that has developed in conversation with science and engineering. While proposing a new approach to the relation of technē (craft, skill) and poiēsis (making, forming), this book also intervenes in philosophical debates concerning the concept of the object, the distinction between organic and inorganic matter, theories of self-organization, and the relation between “design” and “nature.” Engaging with Heidegger, Agamben, Whitehead, Stiegler, and Nancy, Brown shows that materials science and materialist poetics offer crucial resources for thinking through the direction of contemporary materialist philosophy.

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Covering computational tools in drug design using techniques from chemoinformatics, molecular modelling and computational chemistry, this book explores these methodologies and applications of in silico medicinal chemistry. The first part of the book covers molecular representation methods in computing in terms of chemical structure, together with guides on common structure file formats. The second part examines commonly used classes of molecular descriptors. The third part provides a guide to statistical learning methods using chemical structure data, covering topics such as similarity searching, clustering and diversity selection, virtual library design, ligand docking and de novo design. The final part of the book summarises the application of methods to the different stages of drug discovery, from target ID, through hit finding and hit-to-lead, to lead optimisation. This book is a practical introduction to the subject for researchers new to the fields of chemoinformatics, molecular modelling and computational chemistry.

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