A review of large language models and autonomous agents in chemistry

MC Ramos, CJ Collison, AD White - Chemical Science, 2025 - pubs.rsc.org
Large language models (LLMs) have emerged as powerful tools in chemistry, significantly
impacting molecule design, property prediction, and synthesis optimization. This review …

[HTML][HTML] Large language models for wearable sensor-based human activity recognition, health monitoring, and behavioral modeling: a survey of early trends, datasets …

E Ferrara - Sensors, 2024 - mdpi.com
The proliferation of wearable technology enables the generation of vast amounts of sensor
data, offering significant opportunities for advancements in health monitoring, activity …

AI-generated poetry is indistinguishable from human-written poetry and is rated more favorably

B Porter, E Machery - Scientific Reports, 2024 - nature.com
As AI-generated text continues to evolve, distinguishing it from human-authored content has
become increasingly difficult. This study examined whether non-expert readers could …

Enhancing early detection of cognitive decline in the elderly: a comparative study utilizing large language models in clinical notes

X Du, J Novoa-Laurentiev, JM Plasek, YW Chuang… - …, 2024 - thelancet.com
Summary Background Large language models (LLMs) have shown promising performance
in various healthcare domains, but their effectiveness in identifying specific clinical …

[HTML][HTML] A survey on the use of large language models (llms) in fake news

E Papageorgiou, C Chronis, I Varlamis, Y Himeur - Future Internet, 2024 - mdpi.com
The proliferation of fake news and fake profiles on social media platforms poses significant
threats to information integrity and societal trust. Traditional detection methods, including …

[HTML][HTML] Large language models meet next-generation networking technologies: A review

CN Hang, PD Yu, R Morabito, CW Tan - Future Internet, 2024 - mdpi.com
The evolution of network technologies has significantly transformed global communication,
information sharing, and connectivity. Traditional networks, relying on static configurations …

Large language model-based natural language encoding could be all you need for drug biomedical association prediction

H Zhang, Y Zhou, Z Zhang, H Sun, Z Pan… - Analytical …, 2024 - ACS Publications
Analyzing drug-related interactions in the field of biomedicine has been a critical aspect of
drug discovery and development. While various artificial intelligence (AI)-based tools have …

Generative ai for customizable learning experiences

I Pesovski, R Santos, R Henriques, V Trajkovik - Sustainability, 2024 - mdpi.com
The introduction of accessible generative artificial intelligence opens promising
opportunities for the implementation of personalized learning methods in any educational …

[HTML][HTML] Advancing Arctic sea ice remote sensing with AI and deep learning: Opportunities and challenges

W Li, CY Hsu, M Tedesco - Remote Sensing, 2024 - mdpi.com
Revolutionary advances in artificial intelligence (AI) in the past decade have brought
transformative innovation across science and engineering disciplines. In the field of Arctic …

[HTML][HTML] The Future of Intelligent Healthcare: A Systematic Analysis and Discussion on the Integration and Impact of Robots Using Large Language Models for …

S Pashangpour, G Nejat - Robotics, 2024 - mdpi.com
The potential use of large language models (LLMs) in healthcare robotics can help address
the significant demand put on healthcare systems around the world with respect to an aging …