Feasibility of machine learning-based rice yield prediction in India at the district level using climate reanalysis and remote sensing data

D De Clercq, A Mahdi - Agricultural Systems, 2024 - Elsevier
CONTEXT Yield forecasting, the science of predicting agricultural productivity before the
crop harvest occurs, helps a wide range of stakeholders make better decisions around …

[HTML][HTML] Quo Vadis ChatGPT? From Large Language Models to Large Knowledge Models

V Venkatasubramanian, A Chakraborty - Computers & Chemical …, 2025 - Elsevier
The startling success of ChatGPT and other large language models (LLMs) using
transformer-based generative neural network architecture in applications such as natural …

[HTML][HTML] Enhancing Antimicrobial Resistance Strategies: Leveraging Artificial Intelligence for Improved Outcomes

AM Mohammed, M Mohammed, JK Oleiwi… - South African Journal of …, 2024 - Elsevier
Antimicrobial resistance (AMR) poses a formidable challenge to global health, threatening to
undermine the efficacy of antibiotics and jeopardize medical advances. Despite concerted …

Rethinking chemical engineering education

J Gong, DC Shallcross, Y Jiao… - Nature Chemical …, 2024 - nature.com
Rethinking chemical engineering education | Nature Chemical Engineering Skip to main
content Thank you for visiting nature.com. You are using a browser version with limited …

Do large language models “understand” their knowledge?

V Venkatasubramanian - AIChE Journal, 2024 - Wiley Online Library
Large language models (LLMs) are often criticized for lacking true “understanding” and the
ability to “reason” with their knowledge, being seen merely as autocomplete engines. I …

Artificial intelligence and machine learning at various stages and scales of process systems engineering

K Srinivasan, A Puliyanda, D Thosar… - … Canadian Journal of …, 2024 - Wiley Online Library
We review the utility and application of artificial intelligence (AI) and machine learning (ML)
at various process scales in this work, from molecules and reactions to materials to …

Feasibility of machine learning-based rice yield prediction in India at the district level using climate reanalysis data

D De Clercq, A Mahdi - arXiv preprint arXiv:2403.07967, 2024 - arxiv.org
Yield forecasting, the science of predicting agricultural productivity before the crop harvest
occurs, helps a wide range of stakeholders make better decisions around agricultural …

What's in an embedding? Would a rose by any embedding smell as sweet?

V Venkatasubramanian - arXiv preprint arXiv:2406.06870, 2024 - arxiv.org
Large Language Models (LLMs) are often criticized for lacking true" understanding" and an
ability to" reason" with their knowledge, being seen merely as advanced autocomplete …

Advancing Liver Cancer Research: A Graph-Based Approach for Ontology Enrichment and Link Prediction

W Essalah, F Jaziri, A Mtibaa, A Vacavant - Procedia Computer Science, 2024 - Elsevier
Hepatocellular carcinoma (HCC) is the most common form of liver cancer, presenting a
significant challenge in diagnosis and treatment. Artificial intelligence (AI) combined with …