Results 81 to 90 of about 10,320,823 (245)

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

Human-Machine Collaborative Optimization via Apprenticeship Scheduling

Journal of Artificial Intelligence Research, 2018
Coordinating agents to complete a set of tasks with intercoupled temporal and resource constraints is computationally challenging, yet human domain experts can solve these difficult scheduling problems using paradigms learned through years of apprenticeship.
Gombolay, Matthew C., Jensen, Reed E., Stigile, Jessica L., Golen, Toni, Shah, Neel, Son, Sung-Hyun, Shah, Julie A   +6 more
openaire   +5 more sources

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

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

Sidney Machine Tool Company photograph collage

A collage of photographs of men using equipment at the Sidney Machine Tool Company. Sidney Tool Company was founded in 1905 by Alfred C. Getz in Sidney, Ohio. Getz was also acting plant manager for Monarch Machine Tool, also in Sidney, during the same
Sidney Machine Tool Company
core   +4 more sources

Digital job crafting in Confucian-heritage workplaces: human-machine collaboration as a mediator and the moderating role of continuous renewal culture

Humanities & Social Sciences Communications
Amidst the global digital transformation, understanding how organizations harness human-machine synergies to drive innovation remains critical. Grounded in service innovation and value co-creation theories, this study investigates how digital job ...
Xinyi Ma, Li Lv
doaj   +1 more source

A Multifaceted Vision of the Human-AI Collaboration: A Comprehensive Review

IEEE Access
Human-AI collaboration has evolved into a complex, multidimensional paradigm shaped by research in various domains. Key areas such as human-in-the-loop systems, Interactive Machine Learning (IML), Hybrid Intelligence, and Human-Agent Interaction have ...
Maite Puerta-Beldarrain, Oihane Gomez-Carmona, Ruben Sanchez-Corcuera, Diego Casado-Mansilla, Diego Lopez-de-Ipina, Liming Chen   +5 more
doaj   +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

Astronomaly Protege: Discovery through Human-machine Collaboration

The Astronomical Journal
Modern telescopes generate catalogs of millions of objects with the potential for new scientific discoveries, but this is beyond what can be examined visually.
Michelle Lochner, Lawrence Rudnick
doaj   +1 more source

A human-machine XR collaborative precise operation method aimed at complex spatial tasks in coal mines

Meitan xuebao
Human-machine collaboration is one of the key technologies for robots to accurately complete complex operational tasks in coal mines. To address the challenges in human-machine collaboration for complex tasks, such as robots’ insufficient ability to ...
Xuewen WANG, Lang QIN, Xiaojun QIAO, Jiacheng XIE, Zhijie XIAO, Jingquan LIU   +5 more
doaj   +1 more source