Artificial Intelligence in Architecture by Matias del CampoArtificial intelligence (AI) applications in architectural design have achieved a critical mass and exploded into the mainstream of architectural imaginations. From practical applications in design and constructionto the implications for architectural theory to a plethora of novel tools for accelerated morphological studies, what has become clear is that the discipline is passing a threshold that fundamentally changes architecture as a whole. However, the most radical change is the interrogation and novel discussion of authorship and agency in design ecologies driven by synthetic imaginations. What does it mean for authorship when more than 50 per cent of the content is generated by a nonhuman player? This issue seems more pressing than ever. In a world that is being transformed by AI on a daily basis, what is the role of the sole genius, and designers, artists and architects? This AD dives deep into current discussions about the human position in architectural design, which is increasingly entangled in an AI-driven design context. Contributors: Cesare Battelli, Phil Bernstein, Mario Carpo, Benjamin Ennemoser and Ingrid Mayrhofer-Hufnagl, Sarah Fox, Wanyu He, Andrew Kudless, Ryan Vincent Manning, Sandra Manninger, Kyle Steinfeld, Andrew Witt, and Michael Young.
Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and Cost-effective Production Through AI by John SoldatosThis open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as deep learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers' training, supply chain management, as well as various production optimization scenarios. This is an open access book.
Converging Minds: The Creative Potential of Collaborate AI by Aleksandra Przegalinska & Tamilla Triantoro"This groundbreaking book explores the power of collaborative AI in amplifying human creativity and expertise. Written by two seasoned experts in data analytics, AI, and machine learning, the book offers a comprehensive overview of the creative process behind AI-powered content generation. It takes the reader through a unique collaborative process between human authors and various AI-based topic experts, created, prompted and fine-tuned by the authors. This book features a comprehensive list of prompts that readers can use to create their own ChatGPT-powered topic experts. By following these expertly crafted prompts, individuals and businesses alike can harness the power of AI, tailoring it to their specific needs and fostering a fruitful collaboration between humans and machines. With real-world use cases and deep insights into the foundations of generative AI, the book showcases how humans and machines can work together to achieve better business outcomes and tackle complex challenges. Social and ethical implications of collaborative AI are covered and how it may impact the future of work and employment. Through reading the book, readers will gain a deep understanding of the latest advancements in AI and how they can shape our world. Converging Minds: The Creative Potential of Collaborative AI is essential reading for anyone interested in the transformative potential of AI-powered content generation and human-AI collaboration. It will appeal to data scientists, machine learning architects, prompt engineers, general computer scientists and engineers in the fields of generative AI and deep learning"-- Provided by publisher.
Call Number: eBook
ISBN: 9781032656618
Publication Date: 2024
Topics in Artificial Intelligence applied to Industry 4.0 by Mahmoud Ragab AL-Refaey, et. al."Emerging AI technologies provide support for the connectivity of buildings, data, energy, transport, and governance, allowing increasing innovations across industrial applications. This book covers AI-based technologies for Industry 4.0 and Society 5.0, supporting emerging topics in the smart era and its applications. With a demand to further explore the abundant applications of AI technologies to enhance the quality of manufacturing and supply chain management, the editors explore recent events and look to the future, covering such topics as Quantum Machine Learning, Internet of Things, Cloud and Data Analytics, and new Nature Inspired Optimization Algorithms. Aimed at researchers and students, this book provides the perfect overview of technology from the perspective of modern society and operational environment."-- Provided by publisher.
Call Number: eBook
ISBN: 9781394216147
Publication Date: 2024
Artificial Intelligence Applications for Sustainable Construction by Moncef L Nehdi, Harish Chandra Arora, et. al.Artificial Intelligence Applications for Sustainable Construction presents the latest developments in AI and ML technologies applied to real-world civil engineering concerns. With an increasing amount of attention on the environmental impact of every industry, more construction projects are going to require sustainable construction practices. This volume offers research evidence, simulation results, and case studies to support this change. Sustainable construction, in fact, not only uses renewable and recyclable materials when building new structures or repairing deteriorating ones, but also adopts all possible methods to reduce energy consumption and waste. The concisely written but comprehensive, practical knowledge put forward by this international group of highly specialized editors and contributors will prove to be beneficial to engineering students and professionals alike.
Converging Minds: The Creative Potential of Collaborate AI by Aleksandra Przegalinska & Tamilla Triantoro"This groundbreaking book explores the power of collaborative AI in amplifying human creativity and expertise. Written by two seasoned experts in data analytics, AI, and machine learning, the book offers a comprehensive overview of the creative process behind AI-powered content generation. It takes the reader through a unique collaborative process between human authors and various AI-based topic experts, created, prompted and fine-tuned by the authors. This book features a comprehensive list of prompts that readers can use to create their own ChatGPT-powered topic experts. By following these expertly crafted prompts, individuals and businesses alike can harness the power of AI, tailoring it to their specific needs and fostering a fruitful collaboration between humans and machines. With real-world use cases and deep insights into the foundations of generative AI, the book showcases how humans and machines can work together to achieve better business outcomes and tackle complex challenges. Social and ethical implications of collaborative AI are covered and how it may impact the future of work and employment. Through reading the book, readers will gain a deep understanding of the latest advancements in AI and how they can shape our world. Converging Minds: The Creative Potential of Collaborative AI is essential reading for anyone interested in the transformative potential of AI-powered content generation and human-AI collaboration. It will appeal to data scientists, machine learning architects, prompt engineers, general computer scientists and engineers in the fields of generative AI and deep learning"-- Provided by publisher.
Create summaries of medical conversations from recorded audio during patient visits, which helps doctors cut down on the amount of time they spend on notes (Lin, 2023).
Create so-called synthetic data, or fake versions of patient records that maintain the properties of the original, which will be particularly useful for researching less common diseases, where it is harder to gather sufficient patient data (Lin, 2023).
Could make clinical trials more efficient by creating “synthetic” control patients (i.e., fake patients) using data from real patients and their underlying attributes (to be compared with the patients who receive the new therapy) (Altman, 2023. p. 6).
Could optimize clinic scheduling or simplify generation of medical codes for billing, disease surveillance, and automated follow-up reminders (Langlotz, 2023, p. 7).
When a patient returns home from a clinic visit, a foundation model could generate tailored patient education materials and explain their care plan at the appropriate reading level (Langlotz, 2023, p. 7).
This AI‑powered ambient solution automatically documents patient encounters accurately and efficiently at the point of care with immediate note delivery.
For the most recent papers on AI in healthcare, follow this collection on Read by QxMD:
The JAMA Network home for the latest scientific advances in artificial intelligence (AI) that impact the practice of medicine, as well as the latest discussion, opinion, and reviews on AI in clinical practice.
Converging Minds: The Creative Potential of Collaborate AI by Aleksandra Przegalinska & Tamilla Triantoro"This groundbreaking book explores the power of collaborative AI in amplifying human creativity and expertise. Written by two seasoned experts in data analytics, AI, and machine learning, the book offers a comprehensive overview of the creative process behind AI-powered content generation. It takes the reader through a unique collaborative process between human authors and various AI-based topic experts, created, prompted and fine-tuned by the authors. This book features a comprehensive list of prompts that readers can use to create their own ChatGPT-powered topic experts. By following these expertly crafted prompts, individuals and businesses alike can harness the power of AI, tailoring it to their specific needs and fostering a fruitful collaboration between humans and machines. With real-world use cases and deep insights into the foundations of generative AI, the book showcases how humans and machines can work together to achieve better business outcomes and tackle complex challenges. Social and ethical implications of collaborative AI are covered and how it may impact the future of work and employment. Through reading the book, readers will gain a deep understanding of the latest advancements in AI and how they can shape our world. Converging Minds: The Creative Potential of Collaborative AI is essential reading for anyone interested in the transformative potential of AI-powered content generation and human-AI collaboration. It will appeal to data scientists, machine learning architects, prompt engineers, general computer scientists and engineers in the fields of generative AI and deep learning"-- Provided by publisher.
Call Number: eBook
ISBN: 9781032656618
Publication Date: 2024
Artificial Intelligence for Science and Engineering Applications by Shahab D. Mohaghegh"Artificial Intelligence (AI) is defined as the simulation of human intelligence through the mimicking of the human brain for analysis, modeling, and decision making. Science and engineering problem solving requires modeling of physical phenomena and humans approach the solution of scientific and engineering problems differently from other problems. Artificial Intelligence for Science and Engineering Applications addresses the unique differences in how AI should be developed and used in science and engineering. Through inclusion of definitions and detailed examples, this book covers the actual and realistic requirements as well as avoidance of certain characteristics for the correct and successful science and engineering application of AI. This book: -Offers a brief history of AI and covers science and engineering applications. -Explores modeling of physical phenomena using AI. -Discusses explainable AI (XAI) applications. -Covers ethics of AI in science and engineering. -Features real-world case studies. Offering a probing view into the unique nature of scientific and engineering exploration, this book will be of interest to generalists and experts looking to expand their understanding of how AI can better tackle and advance technology and developments in the scientific and engineering disciplines"-- Provided by publisher.
Call Number: eBook
ISBN: 9781003369356
Publication Date: 2024
Converging Minds: The Creative Potential of Collaborate AI by Aleksandra Przegalinska & Tamilla Triantoro"This groundbreaking book explores the power of collaborative AI in amplifying human creativity and expertise. Written by two seasoned experts in data analytics, AI, and machine learning, the book offers a comprehensive overview of the creative process behind AI-powered content generation. It takes the reader through a unique collaborative process between human authors and various AI-based topic experts, created, prompted and fine-tuned by the authors. This book features a comprehensive list of prompts that readers can use to create their own ChatGPT-powered topic experts. By following these expertly crafted prompts, individuals and businesses alike can harness the power of AI, tailoring it to their specific needs and fostering a fruitful collaboration between humans and machines. With real-world use cases and deep insights into the foundations of generative AI, the book showcases how humans and machines can work together to achieve better business outcomes and tackle complex challenges. Social and ethical implications of collaborative AI are covered and how it may impact the future of work and employment. Through reading the book, readers will gain a deep understanding of the latest advancements in AI and how they can shape our world. Converging Minds: The Creative Potential of Collaborative AI is essential reading for anyone interested in the transformative potential of AI-powered content generation and human-AI collaboration. It will appeal to data scientists, machine learning architects, prompt engineers, general computer scientists and engineers in the fields of generative AI and deep learning"-- Provided by publisher.
Call Number: eBook
ISBN: 9781032656618
Publication Date: 2024
IBM and AWS partnering to transform industrial welding with AI and machine learningIBM Smart Edge for Welding on AWS utilizes audio and visual capturing technology developed in collaboration with IBM Research. Using visual and audio recordings taken at the time of the weld, state-of-the-art artificial intelligence and machine learning models analyze the quality of the weld. If the quality does not meet standards, alerts are sent, and remediation action can take place without delay.
Converging Minds: The Creative Potential of Collaborate AI by Aleksandra Przegalinska & Tamilla Triantoro"This groundbreaking book explores the power of collaborative AI in amplifying human creativity and expertise. Written by two seasoned experts in data analytics, AI, and machine learning, the book offers a comprehensive overview of the creative process behind AI-powered content generation. It takes the reader through a unique collaborative process between human authors and various AI-based topic experts, created, prompted and fine-tuned by the authors. This book features a comprehensive list of prompts that readers can use to create their own ChatGPT-powered topic experts. By following these expertly crafted prompts, individuals and businesses alike can harness the power of AI, tailoring it to their specific needs and fostering a fruitful collaboration between humans and machines. With real-world use cases and deep insights into the foundations of generative AI, the book showcases how humans and machines can work together to achieve better business outcomes and tackle complex challenges. Social and ethical implications of collaborative AI are covered and how it may impact the future of work and employment. Through reading the book, readers will gain a deep understanding of the latest advancements in AI and how they can shape our world. Converging Minds: The Creative Potential of Collaborative AI is essential reading for anyone interested in the transformative potential of AI-powered content generation and human-AI collaboration. It will appeal to data scientists, machine learning architects, prompt engineers, general computer scientists and engineers in the fields of generative AI and deep learning"-- Provided by publisher.