Results 151 to 160 of about 34,912 (272)

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source

Exploring large language models for summarizing and interpreting an online brain tumor support forum

Digital Health
Objective This study explored the capabilities of large language models (LLMs) GPT-3.5, GPT-4, and Llama 3 to summarize qualitative data from an online brain tumor support forum, assessing the differences between these methods and traditional thematic ...
Christy Muasher-Kerwin, M Courtney Hughes, Michelle L Foster, Ibrahim Al Azher, Hamed Alhoori   +4 more
doaj   +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

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, EarlyView.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source

ResearchConnect: An AI‐Powered Platform for Interdisciplinary Research Team Formation and Ideation Development

Advanced Intelligent Systems, EarlyView.
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav, Milad Masrouri, Zhao Qin   +2 more
wiley   +1 more source

Quality assessment of large language models’ output in maternal health

Scientific Reports
Optimising healthcare is linked to broadening access to health literacy in Low- and Middle-Income Countries. The safe and responsible deployment of Large Language Models (LLMs) may provide accurate, reliable, and culturally relevant healthcare ...
Henrique A. Lima, Pedro H. F. S. Trocoli-Couto, Zorays Moazzam, Leonardo C. D. Rocha, Adriana Pagano, Felipe F. Martins, Lucas T. Brabo, Zilma S. N. Reis, Lisa Keder, Aliya Begum, Marcelo H. Mamede, Timothy M. Pawlik, Vivian Resende   +12 more
doaj   +1 more source

Mapping quantitative trait loci underlying body weight changes that act at different times during high‐fat diet challenge in collaborative cross mice

Animal Models and Experimental Medicine, EarlyView.
Over one billion people worldwide suffer from obesity, and the number is continually rising. Animal models, especially mouse models, are crucial to identifying the genetic components of complex disorders and exploring the potential applications of these genetic findings.
Hanifa J. Abu‐Toamih Atamni, Iqbal M. Lone, Ilona Binenbaum, Kareem Midlej, Eleftherios Pilalis, Richard Mott, Aristotelis Chatziioannou, Fuad A. Iraqi   +7 more
wiley   +1 more source

Operationalizing and Implementing Pretrained, Large Artificial Intelligence Linguistic Models in the US Health Care System: Outlook of Generative Pretrained Transformer 3 (GPT-3) as a Service Model.

JMIR Med Inform, 2022
Sezgin E, Sirrianni J, Linwood SL.
europepmc   +1 more source

Fine-tuning GPT-3 for legal rule classification [PDF]

Computer Law & Security Review, 2023
Davide Liga, Livio Robaldo
openaire   +2 more sources

GPT-3 for Education; Benefits and Concerns

, 2023
Mohamad Izani Zainal Abidin, Abdulsamad Alkhalidi, Fauzan Mustaffa   +2 more
openaire   +1 more source