Results 121 to 130 of about 20,583 (298)

Enhancing transparency and trust in AI-powered manufacturing: A survey of explainable AI (XAI) applications in smart manufacturing in the era of industry 4.0/5.0

ICT Express
Explainable Artificial Intelligence (XAI) is crucial for the transition from the fourth to fifth industrial revolution, providing transparency and fostering user confidence in Artificial Intelligence (AI) powered systems.
Konstantinos Nikiforidis, Alkiviadis Kyrtsoglou, Thanasis Vafeiadis, Thanasis Kotsiopoulos, Alexandros Nizamis, Dimosthenis Ioannidis, Konstantinos Votis, Dimitrios Tzovaras, Panagiotis Sarigiannidis   +8 more
doaj   +1 more source

Polymer informatics: Integrating data‐driven strategies, advanced machine learning, and automated synthesis for next‐generation polymer design

InfoScience, EarlyView.
Designing new polymers for applications such as sustainable plastics, biomaterials, and 3D printing has traditionally been slow and expensive, relying heavily on trial‐and‐error experiments. This review shows how polymer informatics—the integration of large polymer databases, machine‐learning models, and automated robotic synthesis—enables fast ...
Md. Saiful Islam, Tamanna Hoque, Junied Islam Shuvo, Sheta Roy Tori, Sadit Bihongo Malitha, Md. Zahangir Alam, A. M. Sarwaruddin Chowdhury   +6 more
wiley   +1 more source

/xai/xai School; Ju/hoan Children Outdoors Closeup

, 1980
/xai/xai ...
Lee, Richard B.
core   +1 more source

/xai/xai School; Indoor Classroom Scene

, 1980
/xai/xai ...
Lee, Richard B.
core  

Multi‐omics biomarkers for intestinal infection and inflammation in inflammatory bowel disease: Current evidence, translational challenges, and diagnostic opportunities

Interdisciplinary Medicine, EarlyView.
Prospective multi‐site cohorts, multi‐omics profiling, and computational analysis may help identify biomarker patterns across clinical settings in IBD and superimposed infections. With further mechanistic and clinical validation, these signals could support the development of practical multi‐analyte tools for more precise diagnosis and management ...
Ziyu Yang, Jiayi Yao, Xinxian Zhao, Yan Xu, Yifan Chen, Tianchi Chen, Ying Jian, Min Li   +7 more
wiley   +1 more source

/xai/xai School; Indoor Classroom Scene 2

, 1980
/xai/xai ...
Lee, Richard B.
core  

Shaping the Future of Radiography Education: Lessons From ChatGPT and Generative AI

Journal of Medical Radiation Sciences, EarlyView.
ChatGPT can provide structured guidance, support self‐assessment and scaffold learning processes that bridge classroom knowledge and clinical expectations. However, AI must be embedded in ways that uphold the core principles of radiographic practice: accuracy, reflective judgment, ethical reasoning, empathy and patient‐centred care.
Minh T. Chau, Haydn Kerr, Clare L. Singh, Bismark Ofori‐Manteaw, Elio Arruzza, Kelly Bentley‐Spuur   +5 more
wiley   +1 more source

eXplainable AI (XAI) - Lecture 1-

, 2021
Primera sessió del seminari impartit pel professor convidat Sebastian Lapuschkin, de l'Institut Fraunhofer de Berlin, sobre Explainable AI6583.mp4 6583 ...
Lapuschkin, Sebastian
core  

AI‐Driven Risk Governance for SMEs: From Predictive Analytics to Strategic Competitiveness

Strategic Change, EarlyView.
ABSTRACT Small and medium‐sized enterprises (SMEs) remain highly exposed to financial distress due to limited resources, volatile markets, and governance constraints. Traditional risk management often lacks a strategic and anticipatory orientation, highlighting the need for risk governance frameworks that integrate forecasting and adaptability.
Davide Liberato lo Conte, Giuseppe Sancetta, Nicola Cucari, Octavio Escobar   +3 more
wiley   +1 more source

/xai/xai School; Excellent Group Shot (Majority Ju Students) 4

, 1980
/xai/xai ...
Lee, Richard B.
core