Results 71 to 80 of about 3,050,985 (230)
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
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 +3 more
wiley +1 more source
AI-Augmented Digital Collaboration Improvement Framework for Sustainable Digital Transformation
Literature on digital collaboration often focuses on individual aspects, but rarely combines them into a unified, practical and sustainability-friendly management tool.
Inga Stankevice, Jo Merten Egerland
doaj +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
As artificial intelligence reshapes professional workflows, understanding what drives effective AI use among employees has become a critical concern for organizations.
Fangni Li, Lei Zhang, Sanjoy Kumar Roy
doaj +1 more source
Encouraging human-AI collaboration in interactive learning environments
AI-empowered applications such as ChatGPT and other intelligent tutorial systems can bring opportunities for collaboration to interactive learning environments.
Rospigliosi, A., Thomas K.F. Chiu
core +1 more source
Quantitative assessment of collaboration [PDF]
Site de l'éditeur : http://www.iisi.de/international-reports-on-socio-informatics-irsi/This paper presents a short literature review of a research trend that endeavors to model collaboration by quantifying each group member‟s contribution. In such a view,
BUISINE, Stéphanie, Stéphanie Buisine
core
The impact of Privatisation and Employee Share-Ownership on Employee Commitment and Citizen Behaviour [PDF]
Based on a survey of employees in a large telecommunications company, we examine the means through which privatisation, accompanied by an Employee Share-Ownership Plan (ESOP), impact on employee commitment and organisational citizenship behaviour ...
McCarthy, Dermot +2 more
core +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
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 +3 more
wiley +1 more source
Reflection or Dependence: How AI Awareness Affects Employees’ In-Role and Extra-Role Performance?
To address the challenges posed by AI technologies, an increasing number of organizations encourage or require employees to integrate AI into their work processes. Despite the extensive research that has explored AI applications in the workplace, limited
Heng Zhao +3 more
doaj +1 more source

