Results 81 to 90 of about 9,156,471 (236)

Cyber-Physical GraphRAG: Safe, Real-Time, and Scalable Orchestration of Large-Scale Autonomous Fleets

IEEE Access
Large-scale autonomous fleet orchestration requires both geometric reasoning for path planning and semantic reasoning for task allocation and policy compliance.
Abdalrahman Ibrahim, Fadi Al Machot, Kyandoghere Kyamakya   +2 more
doaj   +1 more source

Closing the Empirical Loop: Autonomous AI Agents Conduct End‐to‐end Research With Human Participants

Advanced Science, EarlyView.
A multi‐agent AI system autonomously executes the complete scientific workflow, from hypothesis to manuscript, across three psychological studies involving 288 participants. The system designs experiments, collects real world data, develops analysis pipelines, and writes manuscripts with theoretical rigor comparable to experienced researchers.
Gabrielle Wehr, Reuben Rideaux, Amaya J. Fox, David R. Lightfoot, Jason Tangen, Jason B. Mattingley, Shane E. Ehrhardt   +6 more
wiley   +1 more source

TOWARDS A UNIFIED FRAMEWORK FOR KNOWLEDGE TRACING WITH GRAPH CONVOLUTIONAL AND NEURAL ARCHITECTURES

Malaysian Journal of Computing
This paper sets out to propose a unified theoretical framework for knowledge tracing (KT) that combines graph convolutional networks (GCNs) with neural sequence architectures in intelligent tutoring systems.
Yaxi Su, Mohamad Yusof Darus, Norizan Mat Diah, Jinpeng Huang, Azlin Ramli   +4 more
doaj   +1 more source

Inductive Reasoning for Temporal Knowledge Graphs with Emerging Entities

CoRR
24 pages, accepted by ...
Ze Zhao, Yuhui He, Lyuwen Wu, Gu Tang, Bin Lu 0005, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou   +8 more
openaire   +2 more sources

Probing Electrocatalyst Design for Product Selectivity in CO2 Reduction

Advanced Science, EarlyView.
Selective CO2 electroreduction is controlled by catalyst structure, dynamic surface reconstruction, adsorbate interactions, and reaction microenvironment. This review summarizes Cu‐ and non‐Cu‐based catalysts, single‐atom and molecular systems, degradation pathways, and operando/computational strategies for steering CO2RR toward hydrocarbons ...
Suvodeep Sen, Bapan Biswas, Apinya Ngoipala, Julia Wiktor, Ujjwal Pal, Shalini Singh   +5 more
wiley   +1 more source

Integrating BERT-XL with multi-dimensional knowledge graphs for knowledge completion and relation reasoning in archival fragmented texts

Scientific Reports
Archival fragmented texts pose considerable challenges for knowledge extraction owing to semantic deficiency, contextual discontinuity, and entity recognition ambiguity, all arising from document deterioration and incomplete digitization.
Zhenghan Li
doaj   +1 more source

Graph-based implicit knowledge discovery from architecture change logs [PDF]

, 2012
Service architectures continuously evolve as a consequence of frequent business and technical change cycles. Architecture change log data represents a source of evolution-centric information in terms of intent, scope and operationalisation to ...
Pooyan Jamshidi (5276344), Aakash, Ahmad, Aakash Ahmad, Ahmad, Aakash, Claus Pahl (12588787), Pahl, Claus, Muteer Arshad, Jamshidi, Pooyan, Pooyan Jamshidi, Arshad, Muteer, Claus Pahl, Muteer Arshad (12620287), Aakash Ahmad (5022314)   +12 more
core   +2 more sources

The IRE1‐XBP1s Axis Drives Inflammatory Osteolysis by Regulating a 5‐HT Dependent Endogenous Anti‐Autophagy Mechanism

Advanced Science, EarlyView.
A previously unrecognized IRE1‐XBP1s‐Slc6a4 signaling axis links endoplasmic reticulum stress to serotonin metabolism, autophagy, and inflammatory osteoclastogenesis. By promoting intracellular serotonin uptake and reducing endogenous 3‐methyladenine accumulation, this pathway accelerates inflammatory bone destruction and provides a promising ...
Pengchao Yang, Binxiang Zhu, Yuzhi He, Yang Tian, Honglei Kang, Shian Hu, Pengju Wang, Yong Xu, Zhuowei Lei, Peijun Qi, Hao Yang, Yang Lin, Yimin Dong, Feng Li, Hanfeng Guan   +14 more
wiley   +1 more source

Causal Decoupling for Temporal Knowledge Graph Reasoning via Contrastive Learning and Adaptive Fusion

Information
Temporal knowledge graphs (TKGs) are crucial for modeling evolving real-world facts and are widely applied in event forecasting and risk analysis. However, current TKG reasoning models struggle to separate causal signals from noisy observations, align ...
Siling Feng, Housheng Lu, Qian Liu, Peng Xu, Yujie Zheng, Bolin Chen, Mengxing Huang   +6 more
doaj   +1 more source

Agent‐Based Simulations of Lung Tumor Evolution Suggest That Ongoing Cell Competition Drives Realistic Clonal Expansions

Advanced Science, EarlyView.
Computational simulations of tumor evolution are increasingly used to infer the rules underlying cancer growth, with the goal of one day recommending tailored treatments. Here we show that the properties of lung cancer sequencing data are best replicated by a model which assumes that cells compete both to proliferate and survive. ABSTRACT Computational
Helena Coggan, James R. M. Black, Carlos Martínez‐Ruiz, Kristiana Grigoriadis, Jasmin Fisher, Nicholas McGranahan   +5 more
wiley   +1 more source