Results 111 to 120 of about 468,461 (281)

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Is there an influence of perceptual or cognitive impairment on complex sentence processing in hearing aid users? [PDF]

PLoS One, 2023
Wagner L, Werle AA, Hoffmann A, Rahne T, Fengler A.   +4 more
europepmc   +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

Modulating Complex Sentence Processing in Aphasia Through Attention and Semantic Networks. [PDF]

J Speech Lang Hear Res, 2023
Baker C, Love T.
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Variation in how cognitive control modulates sentence processing. [PDF]

R Soc Open Sci, 2023
Patra A, Kirkwood J, Middleton EL, Thothathiri M.   +3 more
europepmc   +1 more source

BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models

Advanced Intelligent Systems, EarlyView.
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan, Kang Fu, Sijing Wu, Yunhao Li, Zicheng Zhang, Qiang Hu, Xiongkuo Min, Guangtao Zhai   +7 more
wiley   +1 more source

The role of object-based attention in semantic working memory

Frontiers in Psychology
IntroductionRecent studies suggest that working memory (WM) temporarily stores and processes bindings, while semantically related WM processing interacts with long-term memory (LTM).
Ting Guo, Leyue Ye, Jinfeng Huang, Zhihan Xu   +3 more
doaj   +1 more source

Context effects in bilingual sentence processing : task specificity [PDF]

, 2016
A Caramazza, A Costa, AB Arêas Da Luz Fontes, AI Schwartz, AI Schwartz, AL Dunn, AMB Groot De, AMB Groot De, B New, CM Brown, D Gentner, D Jared, D Titone, DW Green, E Assche Van, E Assche Van, E Assche Van, E Assche Van, E Keuleers, F Cuetos, GC Orden Van, J Altarriba, J Segui, JG Hell Van, JG Hell Van, K Baten, K Lemhöfer, K Lemhöfer, K Rayner, K Rayner, K Rayner, KE Elston-Güttler, KE Stanovich, LAURA WINTHER BALLING, M Brysbaert, M Coltheart, MA Just, MR Libben, PJ Schwanenflugel, Q Cai, RM Sánchez-Casas, S Bentin, SA Duffy, T Degani, T Dijkstra, T Dijkstra, T Dijkstra, T Dijkstra, T Dijkstra, T Dijkstra, V Marian, VI Levenshtein, W Duyck, W Duyck   +53 more
core   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source