TY - GEN
T1 - ChatGPT and Other AI Tools for Academic Research and Education
AU - Shtykalo, Oleksandr
AU - Yamnenko, Iuliia
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - This chapter explores the use of AI tools for academic research and education. The history of artificial neural networks (ANNs) is discussed, including their recent development and use in various industries. The emergence of ChatGPT, a generative language model developed by OpenAI, is also highlighted. The chapter presents a list of freely available AI tools that can perform tasks related to academic activities, including research, analysis, text generation and processing, translation, and correction of errors in the text. The capabilities of each tool are demonstrated through examples, and the tools are categorized based on their purpose. Universal AI tools, such as Bing and Perplexity, which have access to the internet, can generate and process text, and translate, are highlighted. Other tools, such as ChatGPT and Notion, are also discussed for their ability to work with text and translate. The chapter concludes by providing an overview of the capabilities of each tool and its suitability for various academic tasks. Researchers and educators are encouraged to explore these tools to improve their productivity and efficiency.
AB - This chapter explores the use of AI tools for academic research and education. The history of artificial neural networks (ANNs) is discussed, including their recent development and use in various industries. The emergence of ChatGPT, a generative language model developed by OpenAI, is also highlighted. The chapter presents a list of freely available AI tools that can perform tasks related to academic activities, including research, analysis, text generation and processing, translation, and correction of errors in the text. The capabilities of each tool are demonstrated through examples, and the tools are categorized based on their purpose. Universal AI tools, such as Bing and Perplexity, which have access to the internet, can generate and process text, and translate, are highlighted. Other tools, such as ChatGPT and Notion, are also discussed for their ability to work with text and translate. The chapter concludes by providing an overview of the capabilities of each tool and its suitability for various academic tasks. Researchers and educators are encouraged to explore these tools to improve their productivity and efficiency.
KW - Artificial intelligence
KW - Bing
KW - ChatGPT
KW - DeepL
KW - Elicit
KW - Language generative model
KW - Notion
KW - Perplexity
KW - ResearchRabbit
UR - http://www.scopus.com/inward/record.url?scp=85200954233&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-61221-3_29
DO - 10.1007/978-3-031-61221-3_29
M3 - Conference contribution
AN - SCOPUS:85200954233
SN - 9783031612206
T3 - Lecture Notes in Electrical Engineering
SP - 605
EP - 630
BT - Digital Ecosystems
A2 - Luntovskyy, Andriy
A2 - Klymash, Mikhailo
A2 - Beshley, Mykola
A2 - Melnyk, Igor
A2 - Schill, Alexander
PB - Springer Science and Business Media Deutschland GmbH
T2 - IEEE lnternational Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET 2024
Y2 - 22 February 2024 through 26 February 2024
ER -