Results 111 to 120 of about 9,156,471 (236)

Knowledge Distillation for Temporal Knowledge Graph Reasoning with Large Language Models

CoRR
Reasoning over temporal knowledge graphs (TKGs) is fundamental to improving the efficiency and reliability of intelligent decision-making systems and has become a key technological foundation for future artificial intelligence applications. Despite recent progress, existing TKG reasoning models typically rely on large parameter sizes and intensive ...
Wang Xing, Wei Song, Siyu Lin, Chen Wu, Zhesi Li, Man Wang   +5 more
openaire   +3 more sources

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Chronobridge: a novel framework for enhanced temporal and relational reasoning in temporal knowledge graphs

Artificial Intelligence Review
Abstract The prediction task of entities and relationships in Temporal Knowledge Graph (TKG) extrapolation is crucial and extensively studied. Mainstream algorithms like Gated Recurrent Unit (GRU) models primarily focus on encoding historical factual features within TKGs, often neglecting the importance of incorporating entity and relationship ...
Qian Liu 0035, Siling Feng, Mengxing Huang, Uzair Aslam Bhatti   +3 more
openaire   +2 more sources

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Construction of a Person–Job Temporal Knowledge Graph Using Large Language Models

Big Data and Cognitive Computing
Person–job data are multi-source, heterogeneous, and strongly temporal, making knowledge modeling and analysis challenging. We present an automated approach for constructing a Human-Resources Temporal Knowledge Graph. We first formalize a schema in which
Zhongshan Zhang, Junzhi Wang, Bo Li, Xiang Lin, Mingyu Liu   +4 more
doaj   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

A Generalized Spatio-Temporal Causal Knowledge Graph Framework With Large Language Model-Enhanced Reasoning for Urban Event Management

IEEE Access
Urban event management faces critical challenges in processing unstructured citizen complaints because of the limitations of traditional extraction models in handling colloquial text, static nature of conventional knowledge graphs that overlook ...
Gang Zheng
doaj   +1 more source

An Inductive Reasoning Model based on Interpretable Logical Rules over temporal knowledge graph

Extrapolating future events based on historical information in temporal knowledge graphs (TKGs) holds significant research value and practical applications.
Cai, X, Jiang, Z, Mei, X, Han, J, Yang, L, Gao, D, Pan, S   +6 more
core   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source