Results 131 to 140 of about 141,350 (263)

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

ChatGPT With GPT-4 Outperforms Emergency Department Physicians in Diagnostic Accuracy: Retrospective Analysis

Journal of Medical Internet Research
BackgroundOpenAI’s ChatGPT is a pioneering artificial intelligence (AI) in the field of natural language processing, and it holds significant potential in medicine for providing treatment advice.
John Michael Hoppe, Matthias K Auer, Anna Strüven, Steffen Massberg, Christopher Stremmel   +4 more
doaj   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Slowing Down Zinc Electrodeposition Kinetics Can Maximize and Compromise Anode Stability: How Slow Is Too Slow?

Angewandte Chemie, EarlyView.
Zinc anode performance is maximized within an optimal deposition‐kinetic window. Additives that tune the deposition exchange current density (i0,Dep) suppress HER at intermediate values, but overly fast kinetics promote dendrites and overly slow kinetics accelerate corrosion/HER.
Md. Arif Faisal, Taizhe Liu, Ashutosh Rana, James H. Nguyen, Saptarshi Paul, Ashutosh Bhadouria, Brian M. Tackett, Jeffrey E. Dick   +7 more
wiley   +2 more sources

Heart Health Detector GPT Based on GPT-4o Model

Automation, Control and Intelligent Systems
The Heart Health Detector paper leverages advancements in artificial intelligence and machine learning to provide an accessible and user-friendly tool for monitoring and managing heart health. This innovative technology has the potential to revolutionize preventive healthcare by empowering individuals to take control of their cardiovascular well-being.
Neha Bansal, Bhawna Singla
openaire   +1 more source

A Generalizable Transformer Framework for Gene Regulatory Network Inference from Single‐Cell Transcriptomes

Advanced Intelligent Systems, EarlyView.
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng, Hyobin Kim, Patrick Martin, Junil Kim, Tae‐Hyung Kim, Gi‐Hoon Nam, Dongha Kim, Kyoung Jae Won   +7 more
wiley   +1 more source

Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models

Angewandte Chemie, EarlyView.
AI‐empowered catalysis research via integrated database platform, universal machine learning interatomic potentials (MLIPs), and large language models (LLMs). ABSTRACT The integration of artificial intelligence (AI) into catalysis is fundamentally reshaping the research paradigm of catalyst discovery.
Di Zhang, Yuanzheng Chen, Chuanyu Liu, Yan Liu, Hongliang Xin, Jiayu Peng, Pengfei Ou, Hao Li   +7 more
wiley   +2 more sources

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

Mixed‐Functionalized Acylgermanes Result in Wavelength‐Controlled Fragmentation

Angewandte Chemie, EarlyView.
Selective radical generation from PEG‐acylgermanes is achieved by controlling the used wavelength. Distinct aryl‐carbonyl units undergo wavelength‐dependent α‐cleavage, producing radicals with different reactivities. UV/Vis, TD‐DFT, and photo‐CIDNP spectroscopy confirm that small adjustments in light input directly dictate radical identity and ...
André Culum, Manfred Drusgala, Roland C. Fischer, Anne‐Marie Kelterer, Mario Leypold, Dmytro Neshchadin, Michael Haas   +6 more
wiley   +2 more sources

GPT-4 vs. GPT-3.5 AS CODING ASSISTANTS

Abstract Large Language Models are not limited to understanding and producing natural language. Instead, they do equally well in understanding and generating source code in various programming languages. At the time of writing, GPT-4 was considered the most potent large language model from OpenAI.
Lefteris Moussiades, George Zografos, George Papakostas   +2 more
openaire   +1 more source