Results 81 to 90 of about 9,872,600 (246)

Enhancing Human-AI Collaboration through a Conversational Agent for Energy Efficiency

Among the many scenarios where humans and AI agents can collaborate, Energy Efficiency (EE) is one where such collaboration could most effectively contribute to the goal of net zero emissions, while also reducing costs and improving comfort.
Pinciroli Vago, Nicolò Oreste, Fraternali, Piero, Campi, Riccardo, Giudici, Mathyas, Brambilla, Marco   +4 more
core   +1 more source

EXPLORING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON HUMANROBOT COOPERATION IN THE CONTEXT OF INDUSTRY 4.0

Applied Computer Science
 The function of Artificial Intelligence (AI) in Human-Robot Cooperation (HRC) in Industry 4.0 is unequivocally important and cannot be undervalued. It uses Machine Learning (ML) and Deep Learning (DL) to enhance collaboration between humans and robots ...
Hawkar ASAAD, Shavan ASKAR, Ahmed KAKAMIN, Nayla FAIQ   +3 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

A study of the impact of AI-employee collaboration on employee innovation behavior

Frontiers in Psychology
IntroductionWith the deep integration of digitalization and generative artificial intelligence, artificial intelligence has transformed from a mere technical tool into a core collaborative partner within modern workplaces and human‑resource management ...
Yan Guanyu, Niu Chenchen
doaj   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

When does working with AI empower or entrap university faculty? A dualistic passion perspective on job crafting

Frontiers in Psychology
IntroductionGenerative AI is now widely used in teaching, research, and academic writing, leading university faculty to engage in more sustained human-AI collaboration.
Jin Zhu, Yifei Zhang
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +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

Artificial Intelligence Meets Micro/Nanorobotics

Advanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever, Minitha Cherukutty Ramakrishnan, Ian Kuula Ross, Ivan Zelinka, Hamed Shahsavan, Michal Otyepka, Martin Pumera   +6 more
wiley   +1 more source

A Human–AI Collaborative Framework for Cybersecurity Consulting in Capstone Projects for Small Businesses

Journal of Cybersecurity and Privacy
This paper proposes a Human-AI collaborative framework for cybersecurity consulting tailored to the needs of small businesses, designed and implemented within a Master of Cybersecurity capstone program.
Ka Ching Chan, Raj Gururajan, Fabrizio Carmignani   +2 more
doaj   +1 more source