Results 241 to 250 of about 31,162,203 (315)

Capital structure, business model innovation, and firm performance: Evidence from Chinese listed corporate based on system GMM model. [PDF]

PLoS One
Tian X, Wang Y, Kohar UHA.
europepmc   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Managing social-educational robotics for students with autism spectrum disorder through business model canvas and customer discovery. [PDF]

Front Robot AI
Arora AS, Arora A, Sivakumar K, McIntyre JR.   +3 more
europepmc   +1 more source

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

Advanced Intelligent Systems, EarlyView.
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad, Hannah Mann, Lubna Najm, Shadman Khan, Carlos D. M. Filipe, Tohid F. Didar   +5 more
wiley   +1 more source

A Vacuum‐Suction and Rotate End Effector for Robotic Apple Fruitlet Thinning: Comparative Development, Integrated Field Evaluation, and Preliminary Harvesting

Advanced Intelligent Systems, EarlyView.
Robotic apple thinning is constrained by a single field season confined to a few weeks each year. An efficient design process screens four detachment concepts off‐season using an artificial fruitlet structure, with field trials identifying vacuum suction and rotation as the most effective approach.
Rahul Jangali, Ben McGuinness, Hin Lim, Chi Kit Au, Henry Williams, Ans H. Qureshi, David Smith, Bruce A. MacDonald, Mike Duke, Abozar Nasirahmadi   +9 more
wiley   +1 more source

Beyond the Camera: Epidermal Sensor Platforms for Intelligent Facial Expression Recognition and Interactive Human Monitoring

Advanced Intelligent Systems, EarlyView.
Skin‐conformal epidermal sensors enable camera‐free intelligent facial monitoring by converting facial deformation and muscle activity into electrical signals through piezoresistive, capacitive, electrophysiologic, and self‐powered mechanisms. Coupled with artificial intelligence (AI), these platforms support facial expression recognition, human ...
Jeehyun Joung, Manchi Nagaraju, Jun‐Gyu Choi, Jaeil Park, Sungjun Park, Daegun Kim   +5 more
wiley   +1 more source

How Organizations Learn and Innovate to Institutionalize Generative AI: Trust, Feedback Loops, and Cultural Friction

AI &Innovation, EarlyView.
ABSTRACT This study examines how organizations advance in their use of Generative AI (GenAI) tools after initial adoption with particular attention to the dynamics of trust, cultural resistance, and feedback mechanisms. Grounded in organizational learning theory and institutional theory, we propose a framework that captures the factors influencing how ...
Surajit Bag, Gautam Srivastava, Santosh Kumar Shrivastav, Daniel Rees   +3 more
wiley   +1 more source

AI Dependence as a Longitudinal Governance Problem

AI &Innovation, EarlyView.
ABSTRACT Artificial intelligence governance typically focuses on whether people rely on AI appropriately during individual decisions. This Perspective addresses a different question: whether repeated AI use changes the capabilities and alternatives available to users and organisations over time.
Yiran Du
wiley   +1 more source

Digital Transformation in Higher Education in the AI Era: A Systematic Review of Definitions and Emerging Trends

AI &Innovation, EarlyView.
ABSTRACT Digital transformation (DT) remains inconsistently defined in higher education, particularly as artificial intelligence (AI) introduces new institutional capabilities and responsibilities. This systematic review synthesizes 40 retrievable peer‐reviewed studies published between 2020 and 2025 to examine how DT is defined, which institutional ...
Yufeng Qian, Yi Jin
wiley   +1 more source