Results 161 to 170 of about 63,655 (291)

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Human-AI Collaboration: Enhancing Decision-Making in Critical Sectors

The integration of Artificial Intelligence (AI) into critical sectors such as healthcare, finance, security, and manufacturing has transformed decision-making processes.
Beloved, Omankwu, Obinnaya Chinecherem, Etuk, Enefiok Archibong   +1 more
core   +1 more source

SciSciGPT: advancing human-AI collaboration in the science of science. [PDF]

Nat Comput Sci
Shao E, Wang Y, Qian Y, Pan Z, Liu H, Wang D.   +5 more
europepmc   +1 more source

Experimental evidence of effective human-AI collaboration in medical decision-making. [PDF]

Sci Rep, 2022
Reverberi C, Rigon T, Solari A, Hassan C, Cherubini P, GI Genius CADx Study Group, Cherubini A.   +6 more
europepmc   +1 more source

Do outgrower schemes enhance technology adoption and productivity? Evidence from maize farmers in Northern Ghana

Agribusiness, EarlyView.
Abstract Nucleus outgrower schemes are contractual arrangements where well‐resourced large‐scale farmers (nucleus farmers) are empowered by development support agencies to take charge of smallholder farmers, by providing them with market access and the necessary training on agronomic practices and farm inputs for production.
Dominic Tasila Konja, Awudu Abdulai
wiley   +1 more source

Know Thyself: The Relationship between Metacognition and Human-AI Collaboration

While collaboration between humans and artificial intelligence (AI) can yield enhanced performance due to complementarities of both entities, this potential is often not realized if human users manage the collaboration.
Gupta, Alok, Walzner, Dominik David, Fuegener, Andreas, Ketter, Wolfgang, Taudien, Anna   +4 more
core   +1 more source

The augmented clinician as a framework for human-AI collaboration in mental healthcare. [PDF]

Front Psychiatry
Ruan QN, Hu SQ, ShangGuan ZH, Zhou SM.
europepmc   +1 more source

Opportunities for Human-AI Collaboration in Remote Sighted Assistance. [PDF]

IUI, 2022
Lee S, Yu R, Xie J, Billah SM, Carroll JM.   +4 more
europepmc   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

Behavioral mechanisms and learning outcomes of University Students' GAI-assisted learning in human-AI collaboration. [PDF]

PLoS One
Zeng Y, Kang J, Piaw CY.
europepmc   +1 more source