XAI-Explainable artificial intelligence [PDF]
Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence ...
Choi, J. +5 more
core +5 more sources
Structure of associative heterarchical memory
Objectives. Since the 20th century, artificial intelligence methods can be divided into two paradigms: top-down and bottom-up. While the methods of the ascending paradigm are difficult to interpret as natural language outputs, those applied according to ...
R. V. Dushkin +3 more
doaj +1 more source
Risk stratification and pathway analysis based on graph neural network and interpretable algorithm
Background Pathway-based analysis of transcriptomic data has shown greater stability and better performance than traditional gene-based analysis. Until now, some pathway-based deep learning models have been developed for bioinformatic analysis, but these
Bilin Liang, Haifan Gong, Lu Lu, Jie Xu
doaj +1 more source
Artificial Intelligence Empowering Healthcare Services: Expert Consensus from the Mangrove Health Conference in 2025 [PDF]
Artificial intelligence (AI) demonstrates significant advantages in accelerating improvements in efficiency, accessibility, and precision of health services, thereby providing critical support for the implementation of a health-prioritized development ...
Expert Panel of the Consensus on Artificial Intelligence Empowering Healthcare Services
doaj +1 more source
Precision medicine and artificial intelligence : a pilot study on deep learning for hypoglycemic events detection based on ECG [PDF]
Tracking the fluctuations in blood glucose levels is important for healthy subjects and crucial diabetic patients. Tight glucose monitoring reduces the risk of hypoglycemia, which can result in a series of complications, especially in diabetic patients ...
Pecchia, Leandro +3 more
core +2 more sources
Many heads but one brain: FusionBrain – a single multimodal multitask architecture and a competition
Supporting the current trend in the AI community, we present the AI Journey 2021 Challenge called FusionBrain, the first competition which is targeted to make a universal architecture which could process different modalities (in this case, images, texts,
D.D. Bakshandaeva +10 more
doaj +1 more source
Trustworthy artificial intelligence
AbstractThis paper develops an account of trustworthy AI. Its central idea is that whether AIs are trustworthy is a matter of whether they live up to their function-based obligations. We argue that this account serves to advance the literature in a couple of important ways.
Mona Simion, Christoph Kelp
openaire +1 more source
Feedback Control for Passivity of Memristor-Based Multiple Weighted Coupled Neural Networks
This paper investigates the passivity of multiple weighted coupled memristive neural networks (MWCMNNs) based on the feedback control. Firstly, a kind of memristor-based coupled neural network model with multiple weights is presented for the first time ...
Xiang-Bo Wang +4 more
doaj +1 more source
Artificial intelligence hallucinations
SCOPUS: le.j ; info:eu-repo/semantics ...
Salvagno, Michele +2 more
openaire +3 more sources
Capital as Artificial Intelligence [PDF]
This article examines science-fictional allegorizations of Soviet-style planned economies, financial markets, autonomous trading algorithms, and global capitalism writ large as nonhuman artificial intelligences, focussing primarily on American science ...
Canavan, Gerry
core +2 more sources

