Results 111 to 120 of about 3,064 (300)

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer   +3 more
wiley   +1 more source

Learner Corpora and Pedagogic Applications

open access: yes, 2015
This chapter shows how learner corpora can be used to help design pedagogic applications. Section 1 contains a brief description of learner corpora and addresses some of the key issues in learner corpus collection and analysis.
Meunier, Fanny
core  

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

open access: yesAdvanced 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   +5 more
wiley   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

open access: yesAdvanced 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

Subordinate Clauses as Critical Features in English and French Learner Examination Corpora

open access: yesBaltic Journal of English Language, Literature and Culture, 2012
The aim of the study is to examine the syntactic pattern of the frequency of use of simple, complex and compound sentences focusing on different subordinate clauses as critical features in the written learner text corpora at different English and French
Vita Kalnbērziņa, Vineta Rūtenberga
doaj  

Spoken learner corpora : diversity and comparability

open access: yes, 2021
International audienceThis presentation discusses the methodological issues involved in finding a satisfactory compromise between common conventions of transcription and annotation in spoken learner corpora and the specific requirements of compiling ...
Rojas, Minerva   +2 more
core  

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Practical Applications of Learner Corpora

open access: yes, 2004
Computer learner corpora (CLC) allegedly serve two main purposes: (1) by providing a better description of interlanguage and a better understanding of the factors that influence it, they contribute to Second Language Acquisition theory; and (2) they ...
Granger, Sylviane
core  

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

open access: yesAdvanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang   +9 more
wiley   +1 more source

Error correction through corpus consultation in EAP writing: an analysis of corpus use in a pre-sessional context

open access: yes
This study investigates the effect of corpus consultation on the accuracy of learner written error revisions. It examines the conditions which cause a learner to consult the corpus in correcting errors and whether these revisions are more effective than ...
Bridle, Marcus
core  

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