Results 121 to 130 of about 8,113 (297)
Artificial Intelligence ReviewAbstract 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 +3 more
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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 +4 more
wiley +1 more source
A survey on the application and research progress of large language models in financial forecasting
AIP AdvancesLarge language models (LLMs) are reshaping the technical paradigms of financial forecasting through their robust representation learning and reasoning capabilities.
Ruonan Wu, Hong Liu
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Plugging Small Models in Large Language Models for POI Recommendation in Smart Tourism
AlgorithmsPoint-of-interest (POI) recommendation is a crucial task in location-based social networks, especially for enhancing personalized travel experiences in smart tourism.
Hong Zheng +4 more
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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 +3 more
wiley +1 more source
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning [PDF]
Spiking neural networks (SNNs) are investigated as biologically inspired models of neural computation, distinguished by their computational capability and energy efficiency due to precise spiking times and sparse spikes with event-driven computation.
Xiao, Mingqing +3 more
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International Journal of Digital EarthConcepts, shaped by human perception and cognition of the world, are constantly evolving. Among these, geographic concepts (e.g. forest, mountain, island) are particularly dynamic and context-dependent.
Meilin Shi +5 more
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Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios +4 more
wiley +1 more source
Multi-hop question answering by integrating large language models and knowledge graphs
Dianxin kexueWith the widespread application of large language models (LLM) in natural language processing tasks, improving their performance in domain-specific question answering has become a key research focus.
JIANG Xian +5 more
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Advanced Intelligent Systems, EarlyView.We present a novel AI‐integrated implantation‐on‐chip platform that enables mimicking and monitoring the maternal–fetal interactions at the early phases of human embryo implantation with high spatiotemporal resolution. The complexity of the trophoblast invasion process was addressed by conducting the analysis at global (rate of invasion) and local ...
Joanna Filippi +12 more
wiley +1 more source