REVISTA
AI

   
Redirigiendo al acceso original de articulo en 23 segundos...
Inicio  /  AI  /  Vol: 4 Par: 2 (2023)  /  Artículo
ARTÍCULO
TITULO

Challenges and Limitations of ChatGPT and Artificial Intelligence for Scientific Research: A Perspective from Organic Materials

Hao-Wen Cheng    

Resumen

Artificial Intelligence (AI) has emerged as a transformative technology in the scientific community with the potential to accelerate and enhance research in various fields. ChatGPT, a popular language model, is one such AI-based system that is increasingly being discussed and being adapted in scientific research. However, as with any technology, there are challenges and limitations that need to be addressed. This paper focuses on the challenges and limitations that ChatGPT faces in the domain of organic materials research. This paper will take organic materials as examples in the use of ChatGPT. Overall, this paper aims to provide insights into the challenges and limitations of researchers working in the field of organic materials.

 Artículos similares

       
 
Kasun Moolikagedara, Minh Nguyen, Weiqi Yan and Xuejun Li    
In the digital age, where the Internet of Things (IoT) permeates every facet of our lives, the safeguarding of data privacy, especially video data, emerges as a paramount concern. The ubiquity of IoT devices, capable of capturing and disseminating vast q... ver más
Revista: Information

 
Changkun Yu, Zhigang Wu and Chao Yang    
Slender vehicles often encounter significant aeroservoelastic challenges due to their low elastic mode frequencies and wide servo control system bandwidths. Traditional analysis methods have limitations, including low modeling accuracy for real vehicles ... ver más
Revista: Aerospace

 
Jiawei Han, Qingsa Li, Ying Xu, Yan Zhu and Bingxin Wu    
Artificial intelligence-generated content (AIGC) technology has had disruptive results in AI, representing a new trend in research and application and promoting a new era of AI. The potential benefits of this technology are both profound and diverse. How... ver más
Revista: Applied Sciences

 
Rosana Farjaminejad, Samira Farjaminejad, Ludovica Nucci, Fabrizia d?Apuzzo, Vincenzo Grassia, Korosh Majidi and Abdolreza Jamilian    
The integration of 3D printing technology in maxillofacial surgery in Iran represents a significant advancement in medical practice, offering unprecedented precision and efficiency in surgical procedures. Employing the Non-Adoption, Abandonment, Scale-Up... ver más
Revista: Applied Sciences

 
Xin Tian and Yuan Meng    
Multi-relational graph neural networks (GNNs) have found widespread application in tasks involving enhancing knowledge representation and knowledge graph (KG) reasoning. However, existing multi-relational GNNs still face limitations in modeling the excha... ver más
Revista: Applied Sciences