Results 81 to 90 of about 51,786 (296)
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
, 2019 Supplemental material, Shoenbill_HTN-NLP-HIJ-AppendixB for Natural language processing of lifestyle modification documentation by Kimberly Shoenbill, Yiqiang Song, Lisa Gress, Heather Johnson, Maureen Smith and Eneida A Mendonca in Health Informatics ...
Yiqiang Song (6394535) +5 more
core +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
Advanced 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
, 2019 Supplemental material, Shoenbill_HTN-NLP-HIJ-AppendixA for Natural language processing of lifestyle modification documentation by Kimberly Shoenbill, Yiqiang Song, Lisa Gress, Heather Johnson, Maureen Smith and Eneida A Mendonca in Health Informatics ...
Yiqiang Song (6394535) +5 more
core +1 more source
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
Advanced Intelligent Discovery, EarlyView.A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
TweeNLP: A Twitter Exploration Portal for Natural Language Processing
, 2021 We present TWEENLP, a one-stop portal that organizes Twitter’s natural language processing (NLP) data and builds a visualization and exploration platform.
Singh, Mayank +5 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 +3 more
wiley +1 more source
Progress in Neural NLP: Modeling, Learning, and Reasoning
Engineering, 2020 Natural language processing (NLP) is a subfield of artificial intelligence that focuses on enabling computers to understand and process human languages.
Ming Zhou +3 more
doaj +1 more source
PreMedOnto: A Computer Assisted Ontology for Precision Medicine [PDF]
, 2019 This paper proposes an ontology learning framework that combines text mining, information extraction and retrieval. The proposed model takes advantage of existing structured knowledge by reusing terms and concepts from other ontologies.
Tawfik, N. +8 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo +3 more
wiley +1 more source