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15 books match the query 'AI'

cover of AI and Digitalization in Energy Management

AI and Digitalization in Energy Management

Antonio Sanfilippo

The Institution of Engineering and Technology, 2025

Energy management involves the planning and operation of energy production, consumption, distribution and storage, with objectives including resource conservation, climate protection and cost savings. Growth in renewable energy - essential for the transition to a decarbonised energy system - adds the challenge of intermittency, making energy management all the more important.
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cover of AI, Numerical Optimization, IoT and Blockchain for Healthcare 4.0

AI, Numerical Optimization, IoT and Blockchain for Healthcare 4.0

Saurav Mallik

The Institution of Engineering and Technology, 2025

The healthcare sphere is becoming more interconnected, intelligent and data driven. The management of healthcare data - and developments in the devices, technologies and systems used to obtain, interpret, store and access it - is a key theme for many researchers in healthcare and technology fields. Sensors and IoT devices are increasingly used to obtain better information about patients' health, machine learning and numerical optimization techniques are being deployed in interpreting medical information, and secure healthcare records and telemedicine approaches are needed to enable clinicians and patients to access data remotely. All these technological advances fall under the umbrella term of Healthcare 4.0.
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cover of Artificial Humanities: A Fictional Perspective on Language in AI

Artificial Humanities

A Fictional Perspective on Language in AI

Nina Beguš

University of Michigan Press, 2025

Artificial Humanities explores how literature, history, and art can deepen our understanding of artificial intelligence and its development. By examining fictional representations of AI in parallel with actual technological developments, Nina Beguš presents a novel interdisciplinary framework for understanding the cultural, philosophical, and ethical dimensions of AI. She traces connections from Eliza Doolittle to ELIZA the chatbot and current language models, incorporates Slavic fictional examples from the Pygmalion paradigm, and compares mid-century science fiction and recent Hollywood films with contemporary developments in social robotics and virtual beings.

Highlighting the impact of human-like AI design, from gendered virtual assistants to romanticized social robots, the book shows how these technologies intersect with longstanding humanistic questions about the concepts of creativity and language as well as the relations between humans and machines. Additionally, the book explores AI’s applications in medical fields, particularly psychiatry and neurotechnology, including how AI interacts with the human body and mind to address conditions like paralysis. By emphasizing the philosophical and cultural implications of these technologies, Beguš highlights the need for responsible innovation that prioritizes human well-being as well as machine potential outside of human imitation. Accessible and thought-provoking, Artificial Humanities offers tools for analyzing and assessing technologies while they are being developed and invites readers to see how the humanities can guide us toward a more thoughtful future for AI.
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cover of Artificial Intelligence, Real Teaching: A Guide to AI in ELT

Artificial Intelligence, Real Teaching

A Guide to AI in ELT

Joshua M. Paiz, Rachel Toncelli, and Ilka Kostka

University of Michigan Press, 2025

Artificial Intelligence, Real Teaching provides an accessible overview of AI and its uses so English language teachers across the globe can feel confident joining conversations about AI and integrating it into their practice. Grounded in current understanding of second language acquisition theory, translanguaging, and the science of learning, as well as the first-hand AI-integration experiences of the authors, this book offers teachers time-saving and personalized backend strategies for curriculum development, lesson planning, scaffolding, and assessment. Through inclusive front-end strategies for use with students in class and “make it your own” exercises, readers are encouraged to adapt AI enhancements to their particular teaching contexts and to reflect on the benefits and challenges of ethical AI integration. In short, this book serves as a teacher’s AI toolkit, offering English language teachers detailed resources to continue engaging with AI. Artificial Intelligence, Real Teaching sets the stage for teachers to innovate their practices with productive AI enhancements while continuing to center human interaction in language education amid the changing landscape of an AI-rich world.
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cover of Bacteria to AI: Human Futures with Our Nonhuman Symbionts

Bacteria to AI

Human Futures with Our Nonhuman Symbionts

N. Katherine Hayles

University of Chicago Press, 2025

A new theory of mind that includes nonhuman and artificial intelligences.
 
The much-lauded superiority of human intelligence has not prevented us from driving the planet into ecological disaster. For N. Katherine Hayles, the climate crisis demands that we rethink basic assumptions about human and nonhuman intelligences. In Bacteria to AI, Hayles develops a new theory of mind—what she calls an integrated cognitive framework (ICF)—that includes the meaning-making practices of lifeforms from bacteria to plants, animals, humans, and some forms of artificial intelligence. Through a sweeping survey of evolutionary biology, computer science, and contemporary literature, Hayles insists that another way of life, with ICF at its core, is not only possible but necessary to safeguard our planet’s future.

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cover of Critical Making in the Age of AI

Critical Making in the Age of AI

Emily Johnson and Anastasia Salter

Amherst College Press, 2025

Critical Making in the Age of AI invites students, teachers, learners, and digital humanists to explore making as scholarship. Inspired by the craft traditions of textile arts, this book combines a survey of forms of alternative scholarly communication—such as comics, GIFs, maps, games, and generative AI—and a pattern book, where patterns serve as starting points that makers can reimagine and remix. Firmly grounded in the humanities and utilizing free tools and platforms (including Twine, Voyant, and Tracery) wherever possible, this engaging and accessible guide to digital methods introduces and puts into practice concepts that are essential to preparing students to navigate a changing landscape of media and information without investing in proprietary software, dedicated lab space, or expensive creative tools.

The book’s eight patterns are especially appropriate for those just beginning to explore digital scholarly methods, and one goal of Critical Making in the Age of AI is to provide structure for work that is both meaningful and achievable with limited resources and time. By centering critical making through a design-justice and feminist lens, the coauthors model how inclusive and expansive approaches to making in research and teaching are vital to shaping the humanities of the future.

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cover of First Encounters with AI: Writers on Writing

First Encounters with AI

Writers on Writing

Edited by Nina Beguš

University of Michigan Press, 2026

First Encounters with AI gathers some of today’s most original literary minds to explore one of the central artistic and cultural questions of our era: What happens to writing when language is no longer used only by humans? As large language models enter the public imagination and everyday creative practice, writers across genres—novelists, poets, screenwriters, essayists, translators, scholars, technologists, language artists—are grappling with profound shifts in how stories are conceived, crafted, and shared.

Allison Parrish, Ted Chiang, Annelyse Gelman, Sasha Stiles, James Yu, Hannes Bajohr, Ken Liu, Qiufan Chen, Joseph Dumit, Gerardo Con Diaz, Iain S. Thomas, Sheila Heti, Nicholas Nardini, Jasmin B. Frelih, Katy Ilonka Gero, and Alex Saum-Pascual reflect on their early, intimate encounters with generative text at a moment when artificial intelligence feels at once thrilling, unsettling, and unavoidable. Their essays portray AI not as a monolith, but as a dynamic field of possibility and tension between creativity and computation, where longstanding human questions about intention, desire, authorship, labor, and value gain new urgency. Ranging from deeply personal meditations to critical provocations, from philosophical investigations to playful experiments, these writers reveal how writing tools shape writing itself—and what is at stake when those tools begin to imitate us. Curated and introduced by editor Nina Beguš, First Encounters with AI offers readers an essential guide to navigating this new literary landscape. Together, these essays map the terrain of our first contact zone with AI, offering clarity, insight, and imaginative depth at a moment of radical change.

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cover of Humanities in the Time of AI

Humanities in the Time of AI

Laurent Dubreuil

University of Minnesota Press, 2025

Why AI offers a chance for the humanities to strengthen their relevance and significance

If humanistic research consists of the generation of consensus positions, simple expression, summarized texts, or passable translations, then we have arrived at the place where AI is able to accomplish these different missions to a convincing degree. However, Laurent Dubreuil argues, such tasks do not, in any way, constitute the humanities. On the contrary, he posits, a maximalist take on scholarship would not focus on generation but on creation, as a subject and as an object. Dubreuil seizes the opportunity of what AI reveals about the meaning of humanistic inquiry to offer a path for the renewal of the humanities on transhistorical, transcultural, and transdisciplinary grounds.

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cover of Ideal Subjects: The Abstract People of AI

Ideal Subjects

The Abstract People of AI

Olga Goriunova

University of Minnesota Press, 2025

How data and artificial intelligence create a new, abstract digital subject

Ideal Subjects examines how samples of our lives and daily behaviors have come to reside in the world of data and artificial intelligence—and what this means for who we are and what we may become. Detailing how AI-facilitated algorithmic prediction and data modeling make “ideal subjects” of us, Olga Goriunova explores the complex ways we relate to these digital abstractions.

 

As more and more of our experience is funneled through computational records and models, datafied aspects of our lives are segmented and reconfigured to operate as new entities. Rather than viewing these abstract assemblages as extensions of our selves, Goriunova encourages us to consider these products of computational processes as an entirely new kind of subject, one that is both more and less than a human.

 

Through close readings of contemporary digital practices and data analytics, Goriunova exposes the profound ethical, aesthetic, and political implications of producing and managing these new digital subjects. Highlighting the distinctive impact of computation on contemporary subject formation while placing the present within a history of shifting conceptions of the subject, she gives us much-needed tools for understanding how our intimate selves are rendered by the abstract entities of big data. Ideal Subjects presents an uncanny and deeply fascinating portrait of modern subjectivity in the technological age.

 

 

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cover of Law Librarianship in the Age of AI

Law Librarianship in the Age of AI

Ellyssa Kroski

American Library Association, 2019

Winner of the 2020 Joseph L. Andrews Legal Literature Award by the American Association of Law Libraries (AALL)

Futurists predict that in the next ten years the profession of “lawyer” will splinter into job titles like “legal process analyst” or “legal knowledge engineer.” And some in the field are already taking a proactive approach ⁠— in fact, more than two dozen law schools have developed innovation centers to explore artificial intelligence (AI) and the law. In a competitive marketplace, both firms and individuals need to familiarize themselves with the dazzling array of new products and enhanced features capable of improving efficiency. Written by leading practitioners and visionaries like Robert Ambrogi, this groundbreaking survey of current practices and future trends offers an incisive examination of the evolving roles for law librarians. Readers will learn how AI technology is changing law school curricula, lawyer practice, marketing, and other key aspects of the field through coverage of such topics as

  • the benefits of AI to law librarianship, including areas like legal research, contract review, compliance, and administration, and their associated risks;
  • four professional ethics rules that apply to the use or (non-use) of AI;
  • how lawyers and staff work side by side with AI, utilizing intelligence like RAVN ACE or FastCase to attack the drudgery of due diligence and document review;
  • surprising machine-learning insights from tokenizing, stemming, and lemmatizing the text of Shakespeare’s plays;
  • the potential for chatbots and new natural language processing products to improve access to justice; and
  • ways to develop sought-after skills through new technology departments, practice management groups, and legal innovation labs.

Reading this collection will give you a firm grasp of the innovations, tools, benefits, and risks of AI in law librarianship.

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cover of Technology for the Process: Teaching Academic Writing to Multilingual Students in the Age of AI

Technology for the Process

Teaching Academic Writing to Multilingual Students in the Age of AI

M. Sidury Christiansen and Qian Du

University of Michigan Press, 2027

As digital tools and artificial intelligence (AI) reshape how writing is taught and learned, instructors face new questions about how to integrate technology without losing sight of sound pedagogy. Technology for the Process offers a research-informed and practice-driven response. Written by experienced writing teachers, the book presents ready-to-use, adaptable, classroom-tested approaches for teaching academic writing to multilingual students through purposeful use of digital tools, including generative AI. Rather than treating technology as an add-on or a substitute for instruction, the book shows how it can meaningfully support writing as a process: from generating ideas and revising drafts to making rhetorical decisions and developing academic voice. Designed for university-level and adult learning contexts, this book serves as both a practical resource and a thoughtful guide for educators, librarians, and institutions seeking accessible, effective, and sustainable approaches to writing instruction in the age of AI.

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cover of The Convergence of AI, IoT, Smart Sensors and Remote Sensing for Sustainable Smart Environment Applications

The Convergence of AI, IoT, Smart Sensors and Remote Sensing for Sustainable Smart Environment Applications

Chaker Abdelaziz Kerrache

The Institution of Engineering and Technology, 2026

AI and data-driven methods, particularly machine and deep learning models, have revolutionized image processing tasks such as object detection and segmentation, as well as inverse sensing tasks such as atmospheric condition monitoring. These models enable highly accurate predictions from large, labelled datasets. However, one of the key challenges with current AI systems is their opacity. While they deliver precise results, they often fail to provide clear insights into the underlying mechanisms driving these predictions. The lack of interpretability, especially in the context of sensing data, complicates the understanding of how internal features are represented and utilized. This issue is particularly pronounced in smart environment applications, where artificial intelligence techniques are increasingly employed, yet their internal workings remain largely opaque.
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cover of The Organism Is a Theory: Giuseppe Longo on Biology, Mathematics, and AI

The Organism Is a Theory

Giuseppe Longo on Biology, Mathematics, and AI

Giuseppe Longo

University of Minnesota Press, 2026

A bold reimagining of life that bridges science, philosophy, cybernetics, and the complexities of biological existence
 

The Organism Is a Theory is an intriguing synthesis of decades of interdisciplinary research by eminent mathematician and biological scientist Giuseppe Longo. A unique collaboration between Longo and philosopher of technology Adam Nocek, the volume confronts foundational issues in the history of mathematics, computer science, physics, and theoretical biology.

 

Challenging conventional approaches that apply computational and formalist models to the biological world, Longo reveals how the limitations of these models hinder the understanding of organismic complexity, development, and evolution. Through a critique of dominant scientific paradigms, he emphasizes the need for a new biological theory that accounts for the temporal and spatial intricacies of life. Enhanced by Nocek’s comprehensive introduction and a fascinating three-part interview with Longo, The Organism Is a Theory offers a bold rethinking of the biosciences, integrating the work of Alan Turing, Bernhard Riemann, Henri Poincaré, Kurt Gödel, and others into Longo’s vision of critical biology.

 

Bridging scientific and philosophical discourses, this book creatively applies insights from mathematics, physics, and computing into the study of the organism to present a new theoretical approach to understanding biological complexity that resists reductive mechanistic and informatic explanations.

 

 

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cover of The Power of Large Language Models and AI in the Digital Age: Technologies, applications, security and ethics

The Power of Large Language Models and AI in the Digital Age

Technologies, applications, security and ethics

Neha Sharma

The Institution of Engineering and Technology, 2026

Large language models (LLMs) represent a profound breakthrough in artificial intelligence. More than just statistical tools, these vast neural networks undergo an intensive training process that unlocks unexpected, emergent abilities. Models like ChatGPT are now demonstrating a surprising grasp of reasoning, semantics, and real-world concepts, leading many researchers to ask: are we witnessing the first sparks of Artificial General Intelligence (AGI)?
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cover of The Rise of AI: Implications and Applications of Artificial Intelligence in Academic Libraries

The Rise of AI

Implications and Applications of Artificial Intelligence in Academic Libraries

Sandy Hervieux

Assoc of College & Research Libraries, 2022

Librarians are uniquely positioned to rise to the challenge that artificial intelligence (AI) presents to the field. Libraries and their like have existed for millennia; they progress with society, altering and adapting their services to meet the information needs of their communities.

The Rise of AI collects projects, collaborations, and future uses from academic librarians who have begun to embrace AI in their work. In three parts—User Services, Collections and Discovery, and Toward Future Applications—it explores:
  • machine translation
  • creating incubation spaces
  • robotics
  • combining information literacy initiatives with AI literacy
  • fostering partnerships with other on-campus groups
  • integrating AI technology into collections to enhance discoverability
  • using AI to refine metadata for images, articles, and theses
  • machine learning
 
The Rise of AI introduces implications and applications of artificial intelligence in academic libraries and hopes to provoke conversations and inspire new ways of engaging with the technology. As the discussion surrounding ethics, bias, and privacy in AI continues to grow, librarians will be called to make informed decisions and position themselves as leaders in this discourse.
 
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