109 books match the query 'Artificial intelligence' and 5 start with m

cover of Machine Learning and Deep Learning Driven Techniques for Multimodal Data Security in the Internet of Multimedia Things

Machine Learning and Deep Learning Driven Techniques for Multimodal Data Security in the Internet of Multimedia Things

Sita Rani

The Institution of Engineering and Technology, 2026

We are living in an AI and data-driven era. A huge volume of data is generated from all sectors including smart cities, intelligent transportation systems, smart healthcare, education, smart agriculture and smart industrial processes. This information comprises multiple modalities such as textual data, images, sound, gestures and genetic sequences, which are generated through various sources.
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cover of Machine Learning for Healthcare Technologies

Machine Learning for Healthcare Technologies

David A. Clifton

The Institution of Engineering and Technology, 2017

This book provides a snapshot of the state of current research at the interface between machine learning and healthcare with special emphasis on machine learning projects that are (or are close to) achieving improvement in patient outcomes. The book provides overviews on a range of technologies including detecting artefactual events in vital signs monitoring data; patient physiological monitoring; tracking infectious disease; predicting antibiotic resistance from genomic data; and managing chronic disease.
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cover of Machine Learning in Medical Imaging and Computer Vision

Machine Learning in Medical Imaging and Computer Vision

Amita Nandal

The Institution of Engineering and Technology, 2024

Medical images can highlight differences between healthy tissue and unhealthy tissue and these images can then be assessed by a healthcare professional to identify the stage and spread of a disease so a treatment path can be established. With machine learning techniques becoming more prevalent in healthcare, algorithms can be trained to identify healthy or unhealthy tissues and quickly differentiate between the two. Statistical models can be used to process numerous images of the same type in a fraction of the time it would take a human to assess the same quantity, saving time and money in aiding practitioners in their assessment.
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cover of Machine and Sovereignty: For a Planetary Thinking

Machine and Sovereignty

For a Planetary Thinking

yuk

University of Minnesota Press, 2024

Developing a new political thought to address today’s planetary crises

What is “planetary thinking” today? Arguing that a new approach is urgently needed, Yuk Hui develops a future-oriented mode of political thought that encompasses the unprecedented global challenges we are confronting: the rise of artificial intelligence, the ecological crisis, and intensifying geopolitical conflicts.

Machine and Sovereignty starts with three premises. The first affirms the necessity of developing a new language of coexistence that surpasses the limits of nation-states and their variations; the second recognizes that political forms, including the polis, empire, and the state, are technological phenomena, which Lewis Mumford terms “megamachines.” The third suggests that a particular political form is legitimated and rationalized by a corresponding political epistemology. The planetary thinking that this book sketches departs from the opposition between mechanism and organism, which characterized modern thought, to understand the epistemological foundations of Hegel’s political state and Schmitt’s Großraum and their particular ways of conceiving the question of sovereignty. Through this reconstruction, Hui exposes the limits of the state and reflects on a new theoretical matrix based on the interrelated concepts of biodiversity, noodiversity, and technodiversity.

Arguing that we are facing the limit of modernity, of the eschatological view of history, of globalization, and of the human, Hui conceives necessary new epistemological and technological frameworks for understanding and rising to the crises of our present and our future.

Retail e-book files for this title are screen-reader friendly.

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cover of Mentality and Machines

Mentality and Machines

Keith Gunderson

University of Minnesota Press, 1985

Mentality and Machines was first published in 1985. Minnesota Archive Editions uses digital technology to make long-unavailable books once again accessible, and are published unaltered from the original University of Minnesota Press editions.

Mentality and Machines — with a new preface and an extended postscript—is a general essay on the philosophy of mind, oriented to philosophical and psychological questions about real as well as imagined, robots and machines. The second edition retains all of the essays from the original book, including Gunderson's influential critique ("The Imitation Game") of A.M. Turing's treatment of the question "Can machines think?" and his controversial distinction between program-receptive and program-resistant aspects of the mind. This edition's postscript includes further reflections on these themes and others, and relates them to recent writings of other philosophers and computer scientists.

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