Results 131 to 140 of about 12,832 (282)
Generative AI—the Transgression of Technology
Systems Research and Behavioral Science, EarlyView.ABSTRACT This article offers a systems‐theoretical analysis of generative artificial intelligence (GenAI) grounded in Niklas Luhmann's sociology of technology. It addresses a central conceptual problem: How GenAI can be understood within a theoretical framework that has traditionally defined technology as a means of stabilising action through causal ...
Jesper Tække
wiley +1 more source
DLSF:A Textual Adversarial Attack Method Based on Dual-level Semantic Filtering [PDF]
Jisuanji kexueIn the field of commercial applications,deep learning-based text models play a crucial role but are also susceptible to adversarial samples,such as the incorporation of confusing vocabulary into reviews leading to erroneous model responses.A strong ...
XIONG Xi, DING Guangzheng, WANG Juan, ZHANG Shuai
doaj +1 more source
A Systems‐Level Approach to Address Risks and Ethics in Artificial Intelligence Systems
Systems Engineering, EarlyView.ABSTRACT Artificial intelligence (AI) is rapidly changing the world, from completely controlling routine or mundane tasks like text and image generation, to powering advanced algorithms that control critical systems. The recent advances in generative AI quickly overwhelmed multiple industries from education to finance as first adopters rushed (and ...
Vincent P. Paglioni, Torrey Mortenson
wiley +1 more source
World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.ABSTRACT Objective To provide a comprehensive review of the current landscape of artificial intelligence (AI) applications in voice disorder, with emphasis on emerging applications, limitations, and future directions for clinical integration. Methods Literature review.
Rachel B. Kutler, Anaïs Rameau
wiley +1 more source
Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract)
, 2020 Adversarial attack on graph neural network (GNN) is distinctive as it often jointly trains the available nodes to generate a graph as an adversarial example.
Zhao, Jing, Liu, Xiao, Sun, Shiliang
core +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Accurate surface‐pressure prediction over broad operating envelopes is critical for supersonic aerodynamic analysis and design. To overcome the bottlenecks of traditional computational fluid dynamics (CFD) in real‐time performance and computational efficiency, data‐driven deep learning methods have emerged. However, existing data‐driven models
Hongbin Xu, Yin Long, Junlin Wu
wiley +1 more source
Adversarial Attack and Defense in Breast Cancer Deep Learning Systems. [PDF]
Bioengineering (Basel), 2023 Li Y, Liu S.
europepmc +1 more source
Application of Deep Learning in Virtual Power Plants—A Review
Energy Internet, EarlyView.ABSTRACT The advancement of deep learning (DL) has substantially improved the power grid’s ability to model and optimise diverse and highly complex tasks. Although intelligent transformation is an inevitable trend, traditional approaches increasingly reveal limitations in computational efficiency, nonlinear nonconvex optimisation, and multi‐layer ...
Hongjie Zhu +7 more
wiley +1 more source
Image classification adversarial attack with improved resizing transformation and ensemble models. [PDF]
PeerJ Comput Sci, 2023 Li C, Zhang H, Yang B, Wang J.
europepmc +1 more source
Adversarial Attacks on Data Attribution
CoRRAccepted at the 13th International Conference on Learning Representations (ICLR 2025)
Xinhe Wang 0001 +3 more
openaire +3 more sources