Results 91 to 100 of about 176,906 (321)
The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision
Advanced Science, EarlyView.In article number 202507730, Guorun Li, Lei Liu, Yuefeng Du, and co‐workers present a cognitive modeling framework (CMF) to bridge the ‘representation gap’ and ‘conceptual gap’ between cognitive theory and vision deep neural networks (VDNNs). The research findings provide new insights and solid theoretical support for VDNN modeling inspired by ...
Guorun Li +5 more
wiley +1 more source
Meinongian Semantics and Artificial Intelligence
Humana.Mente: Journal of Philosophical Studies, 2013 This essay describes computational semantic networks for a philosophical audience and surveys several approaches to semantic-network semantics. In particular, propositional semantic networks (exemplified by SNePS) are discussed; it is argued that only a ...
William J. Rapaport
doaj
Dynamic Semantics as Monadic Computation [PDF]
, 2012 This paper proposes a formulation of the basic ideas of dynamic semantics in terms of the state monad. Such a monadic treatment allows to specify meanings as computations that clearly separate operations accessing and updating the context from purely truth conditional meaning composition.
openaire +3 more sources
Advanced Science, EarlyView.AI is not seen through an unbiased lens. People tend to stereotype AI as competent and link it with socially advantaged groups—such as men, the wealthy, the young, and prestigious occupations—raising concerns that such perceptions may deepen existing social divides rather than bridge them.
Zixi Wang +4 more
wiley +1 more source
A Robust Logical and Computational Characterisation of Peer-to-Peer Database Systems [PDF]
, 2003 In this paper we give a robust logical and computational characterisation of peer-to-peer (p2p) database systems. We first define a precise model-theoretic semantics of a p2p system, which allows for local inconsistency handling. We then characterise the
Franconi, Enrico +3 more
core +3 more sources
The Equational Approach to CF2 Semantics
, 2012 We introduce a family of new equational semantics for argumentation networks which can handle odd and even loops in a uniform manner. We offer one version of equational semantics which is equivalent to CF2 semantics, and a better version which gives the ...
Gabbay, Dov M.
core +1 more source
Biomolecular Interaction Prediction: The Era of AI
Advanced Science, EarlyView.This review offers a thorough examination of recent progress in deep learning for predicting biomolecular interactions, including those involving proteins, nucleic acids, and small molecules. It covers data processing strategies, representative model architectures, and evaluation metrics, while highlighting current methodological limitations.
Haoping Wang, Xiangjie Meng, Yang Zhang
wiley +1 more source
In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR
Advanced Intelligent Discovery, EarlyView.Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley +1 more source
AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing
Advanced Intelligent Discovery, EarlyView.AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source