Results 271 to 280 of about 222,396 (351)

Preparing for Tomorrow's Teamwork: Insights From eSports on How Human Expertise Shapes Training Needs for AI‐Integrated Work

Journal of Organizational Behavior, EarlyView.
ABSTRACT As organizations increasingly adopt human‐AI teams (HATs), understanding how to enhance team performance is paramount. A crucially underexplored area for supporting HATs is training, particularly helping human teammates to work with these inorganic counterparts.
Caitlin M. Lancaster, Christopher Flathmann, Jennifer Hsu, Nathan J. McNeese, Thomas A. O'Neill, Eduardo Salas   +5 more
wiley   +1 more source

A generative adversarial network for multiple reads reconstruction in DNA storage. [PDF]

Sci Rep
Zheng X, Xie R, Yao X, Su Y, Chu L, Xu P, Liu W.   +6 more
europepmc   +1 more source

Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy [PDF]

Bashir Kazimi, Karina Ruzaeva, Stefan Sandfeld   +2 more
openalex   +1 more source

Artificial Intelligence in Multimedia Content Generation: A Review of Audio and Video Synthesis Techniques

Journal of the Society for Information Display, EarlyView.
Modern AI systems can now synthesize coherent multimedia experiences, generating video and audio directly from text prompts. These unified frameworks represent a rapid shift toward controllable and synchronized content creation. From early neural architectures to transformer and diffusion paradigms, this paper contextualizes the ongoing evolution of ...
Charles Ding, Rohan Bhowmik
wiley   +1 more source

Advanced generative adversarial network for optimizing layout of wireless sensor networks. [PDF]

Sci Rep
Kumar SP, Garg S, Alabdulkreem E, Miled AB.   +3 more
europepmc   +1 more source

Is orthopaedics entering the age of generative AI?—A narrative review of current applications, challenges, and future directions

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Artificial intelligence (AI) in medicine is undergoing a pivotal transformation, evolving from discriminative models that classify data to generative AI systems capable of creating novel content. Generative AI is a type of artificial intelligence that can learn from and mimic large amounts of data to create content such as text, images, music,
Felix C. Oettl, James A. Pruneski, Balint Zsidai, Yinan Yu, Ting Cong, Thomas Tischer, Michael T. Hirschmann, Kristian Samuelsson   +7 more
wiley   +1 more source

The analysis of generative adversarial network in sports education based on deep learning. [PDF]

Sci Rep
Eerdenisuyila E, Li H, Chen W.
europepmc   +1 more source

Optical Coherence Tomography for High‐Precision Industrial Inspection in Industry 4.0: Advances, Challenges, and Future Trends

Laser &Photonics Reviews, EarlyView.
This review examines how optical coherence tomography transforms industrial inspection by delivering real‐time, micrometer‐resolution, depth‐resolved imaging. It surveys applications across display manufacturing, thin films, microelectronics, laser processing, and coatings, evaluates performance against conventional techniques, and highlights emerging ...
Nipun Shantha Kahatapitiya, Sm Abu Saleah, Daewoon Seong, Naresh Kumar Ravichandran, Sangyeob Han, Ruchire Eranga Wijesinghe, Mansik Jeon, Jeehyun Kim   +7 more
wiley   +1 more source

Diffused Multi-scale Generative Adversarial Network for low-dose PET images reconstruction. [PDF]

Biomed Eng Online
Yu X, Hu D, Yao Q, Fu Y, Zhong Y, Wang J, Tian M, Zhang H.   +7 more
europepmc   +1 more source