Includes speculations on the introduction of artificial intelligence bots/apps into architecture and features a collection of works from eighteen architects and designers who are interrogating current AI applications.
Provides detailed technical descriptions of emerging applications of AI in manufacturing using case studies to explain implementation.
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.
Explores the application of artificial intelligence (AI), specifically machine learning (ML), for performance modeling within the built environment.
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.
The electronics industry embraces AI for R&D, manufacturing, and security in a variety of ways (Bundela, 2019).
Artificial intelligence has been used to create socially present robots with emotions, identities, and perceived genders (Xu et al., 2023).
Some resources also show how some industries have implemented more AI and that the AI (like ChatGPT) still needs improvement ("Where Are All the Robots?", 2023).
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.
Contains chapters prepared for the industrial landscape which is being transformed to the fourth stage with the rise of autonomous robots, contemporary automation, cyber-physical systems, the Internet of things, and the Internet of services for examining the circumstances of health care system for the future.
AI impacts how businesses interact with customers and employees through the use of AI ChatBots (Gkinko & Elbanna, 2022).
Combining technology and fashion, AI is being used to engage students' critical thinking skills in class - this examples focuses on fashion design (Jing, 2023).
Another example of how AI is used in the classroom, this article for the New York Times provides numerous examples of how education is impacted by this new technology (Singer 2023).
Super-human AI is contrasted with human decision-making and shows that AI can improve innovative thinking (Shin et al., 2023).
IBM 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.