Results 71 to 80 of about 9,872,649 (283)

Human-AI Collaborative Uncertainty Quantification

CoRR
AI predictive systems are increasingly embedded in decision making pipelines, shaping high stakes choices once made solely by humans. Yet robust decisions under uncertainty still rely on capabilities that current AI lacks: domain knowledge not captured by data, long horizon context, and reasoning grounded in the physical world.
Sima Noorani, Shayan Kiyani, George J. Pappas, Hamed Hassani   +3 more
openaire   +3 more sources

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

Advanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao, Jiaojiao Zhang, Shideng Yuan, Xinmeng Yu, Keming Wan, Xiaoguang Duan, Zhining Wang   +6 more
wiley   +1 more source

Marketing Education in the Age of Generative AI: Preparing Graduates for Human–AI Collaboration

This white paper was developed by the Academy of Marketing Marketing Education Special Interest Group to provide strategic guidance for marketing educators, programme leaders and professional bodies navigating the integration of Generative AI in ...
Hsin-Hsuan, M., Marshall, K., Canhoto, A., Gonsalves,C., Quamina, L., Khusainova, R., Vuković, S., Baines, P., Clancy, C., Percy, S.   +9 more
core   +4 more sources

Empowering customer service with generative AI: enhancing agent performance while navigating challenges

Information Research: An International Electronic Journal
Introduction. As large language models (LLMs), such as GPTs, become more intelligent, a key area of exploration is how these technologies can improve the customer experience.
Charles Costa, Souvick Ghosh
doaj   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Who performs better? Exploring the role of generative AI in creativity and brainstorming

Computers in Human Behavior: Artificial Humans
Creativity is a fundamental human capacity, and while generative artificial intelligence (GenAI) is increasingly used to support creative work, the extent to which it can improve human creativity remains unclear.
Ika Dai, Lyn M. van Swol
doaj   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

The Robot Maze Test

Proceedings of the International Florida Artificial Intelligence Research Society Conference
With the burgeoning popularity of Large Language Models (LLMs) and their introduction to the workplace in multiple fields, an important question remains unexplored: what are the cognitive skills and attributes that make an individual well-suited to ...
Ian Perera, Brady DeCouto, Christopher Bates, Matthew Johnson, Charles Patterson, Alec Treacy, Zoeanne McCurdy   +6 more
doaj  

Leading with AI in critical care nursing: challenges, opportunities, and the human factor

BMC Nursing
Introduction The integration of artificial intelligence (AI) in intensive care units (ICUs) presents both opportunities and challenges for critical care nurses.
Eman Arafa Hassan, Ayman Mohamed El-Ashry   +1 more
doaj   +1 more source