Results 61 to 70 of about 9,872,649 (283)

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Effective Stereotypical Bias Detection: The Impact of Human-AI Collaboration Modes on Human Reliance on AI Recommendation [PDF]

As artificial intelligence (AI) increasingly supports human decision-making across various domains, from hiring processes to legal judgments, understanding how to optimize human-AI collaboration is crucial for developing trustworthy and effective systems.
Mou, Danlei, Tong, Jiawei, Cui, Tingru, DU, Bo, Holtta-Otto, Katja   +4 more
core  

Human State Recognition in Human-AI Interaction

In recent years, there has been an increasing attention from researchers on the development of artificial intelligence (AI) systems grounded in the principle of "human-centered" approach, leading to the emergence of the concept of "human ...
Liu, Ye
core   +1 more source

“There is No ‘AI’ in ‘TEAM’! Or is there?” – Towards meaningful human-AI collaboration

Australasian Journal of Information Systems
AI is increasingly embedded in collaborative processes, challenging traditional notions of teamwork. While AI lacks consciousness and human-like intentionality, its ability to shape decision-making, structure interactions, and contribute to shared ...
Alexander Richter, Gerhard Schwabe
doaj   +1 more source

Toward Full Interoperability in Materials Science: Integrating Workflows With Knowledge Graphs

Advanced Engineering Materials, EarlyView.
The connection of conceptual workflow design, portable execution, and ontology‐based semantics leading to provenance‐rich knowledge graphs are main contributors to interoperability in materials science and a prerequisite to AI‐assisted orchestration and for interoperable Materials Acceleration Platforms.
Jan Janssen, Osamu Waseda, Bernd Bayerlein, Simon Stier, Steffen Brinckmann, Abril Azócar Guzmán, Sarath Menon, Matthias A. Popp, Jesper R. Pedersen, Ivano E. Castelli, Jörg Waitelonis, Wolfgang Wenzel, Jörg Neugebauer, Jörg Schaarschmidt, Tilmann Hickel   +14 more
wiley   +1 more source

AI Cockpit - A Meaningful Human Control Interface for Mitigating AI Risks for Hybrid Intelligence Systems

225239As artificial intelligence (AI) systems become increasingly integrated into critical decision-making processes, ensuring their reliability, transparency, and safety is essential.
Zarbock, Markus, Basedow, Natalie, Vukelic, Mathias, Tagalidou, Nektaria, Bui, Michael, Hübner, Anett, Aschenbrenner, Doris, Yilmaz, Nadine   +7 more
core   +1 more source

Supporting AI Readiness Through Digital Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns, Lateef Abdul, Stephan Barth, Martin Glauer, Manuel Günther, Fabian Neuhaus, Jan‐Ole Perschewski, Thomas Bjarsch, Henrik Abel, Johannes Bosch, Niklas Meyer, Peter Hofmann, Marc Drechsler, Alexander Dyck, Dhanunjaya Kumar Nerella, Marvin Tegeler, Oleg Shchyglo, Ingo Steinbach, Timo Klecker, Henk Birkholz, Ehsan Borzabadi Farahani, Bernard Fedelich, Cetin Haftaoglu, Tarakeshwar Lakshmipathy, Elena Garcia Trelles, Christoph Schweizer, Reza Darvishi Kamachali, Lukas Koschmieder, Janin Eiken, Markus Apel, Sung‐Min Wi, Jiangdong Zhao, Andreas Fezer, Nicolas Christ, Patrick Schneider, Eldor Urinov, Veit Königer, Volker Knoblauch, Janik Harter, Thomas Seifert, Thitichai Janpheng, Florian Fuchs, Fabian Teichert, Jörg Schuster, Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann, Felix Wentzien, Heike Wittek, Benjamin Klie, Alexander Röhrs, Ludger Overmeyer, Achraf Atila, Marcel Sadowski, Leopold Talirz, Jan Janssen, Jesper R. Pedersen, Peter Beck, Tejs Vegge, Ivano E. Castelli, Wolfgang Wenzel, Tilmann Hickel, Jörg Schaarschmidt   +67 more
wiley   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Human-AI collaboration project in AECO sector

This dataset is related to Human-AI collaboration in AECO sector project.
Behzad Abbasnejad (18032053)
core   +1 more source

PERCEPTION, AND RESONANCE: RESEARCH ON GENERATIVE AI IN DIGITAL PICTURE BOOK DESIGN

теорія та практика дизайну
. The purpose. This research aims to the operation and role of generative AI in human-AI co-creation, with digital picture book design as the creative object.
Yan Li, Nataliia Vladyslavivna Chuprina
doaj   +1 more source