free ai for research paper writing

free ai for research paper writing

AI for Research Paper Writing

1. Introduction

AI has revolutionized many fields. The digital revolution has brought about a new wave of technological advancement. However, this has not been the case in the field of academic research paper writing. The field advances at a snail’s speed as existing researchers have to write and publish their work, which AI has not yet been in a position to automate. This is bound to change since some progress has been achieved in the recent past based on the literature obtained from similar kind of books used in this study. This paper explores the most recent developments in the AI field, particularly the world of machine learning and how such new innovation can be applied in research paper writing to improve the works as well as the productivity. The paper is organized in such a way that the first section includes the overall picture, the application and the performance of AI so far in the introduction of the AI. The second section is literature review which gives an extensive review on the past and the recent development in the AI field. After that, the existing opportunity to bring AI in research paper writing as well as the problems of realizing those ideas are described. The paper also discusses the challenges facing the academic world which AI research should take on. In addition, limitations of existing work and future according to the AI scientists are included in the paper. Finally, our work and findings are concluded at the end of this paper.

2. Benefits of AI in Research Paper Writing

With the rise of artificial intelligence (AI) and machine learning, research paper writing has been revolutionized in many ways. One of the most important applications of AI in research paper writing is the use of natural language processing and text mining techniques to help the authors in the different phases of literature survey and paper writing itself. One of the key benefits of using AI in research paper writing is improving the efficiency of the writing process. For example, AI can be used to perform initial literature searches and filter out irrelevant articles based on the title and abstract of each article. As a result, the authors can spend more time on reading those filtered articles and improve their literature review quality, instead of wasting valuable time on evaluating each returned result one by one. Through the constant interaction with AI-based writing assistant, authors can learn from the functions and heuristic feedback that provided by the AI system. In essence, AI is helping the authors to develop a good habit of structuring and organizing their thoughts in the paper writing. In the meantime, the AI system has the potential of customizing its functionality based on the specific needs of different authors, such as intelligent reference suggestion and paper content restructuring, aimed to further expedite the writing process and improve the paper’s quality. Last but not least, AI can significantly improve the quality of research paper writing. By employing the knowledge discovery techniques in the field of AI, it is possible to develop innovative tools to help the researchers to identify novel research directions from the existing articles. For example, with the assistance of AI-based literature review summarizing tools, authors can have a better understanding of the knowledge structure of a research area, identify the critical knowledge gaps, and ultimately generate high-quality literature review. Also, AI has the potential to help in the journal selection process by providing the authors with the latest intelligence on the relevant journals for their research work, based on the similarity comparison between the submitted manuscript and the aims and scopes of different journals. As a result, it would increase the chance of manuscript acceptance and minimize the time wasted on inappropriate journal submission.

3. Challenges and Limitations

Some technologies cannot be used with AI writing. For example, researchers who use LaTeX and Word will most likely not be able to use AI writing applications because there are no AI writing applications that integrate with LaTeX. Also, while it may be simpler to use one large AI writing application such as Google Colab or IBM Watson Studio, some researchers may be using more advanced tools or libraries. They may benefit from using more specific AI models developed within the Machine Learning community. Yet, AI writing can be costly, making the technology less accessible. Eleanor Cole, a full-time graduate student and a member of the American Psychology-Law Society’s Dissertation Award Committee, became interested in AI writing applications. However, after looking into ones that use predictive text and text generation, her opinion on the effectiveness and usefulness of the technology changed. Cole found that “most of the well-known AI [writing] products” were either wholly or partially subscription-based. Products that offer the use of the full application and complete features – such as Grammarly and the Linus Text Editor – range from $60 to $180 a year.

4. Future Implications of AI in Research Paper Writing

AI is playing a progressively important function within the tutorial world, and as technology keeps advancing, the probabilities and implications of AI in educational paper authorship also will continue to extend. One of the first major future implications of AI in educational paper authorship is that the risk of personalized medicines turning into a lot of promptly on the market. With the assistance of machine learning, it’s getting a lot of and a lot of potential to research and predict the results of bound medication on a private level. Very world wherever we have a tendency to every have our own distinctive set of DNA genes, AI will be used to analyze what the foremost effective treatment is for a particular genetic combination by employing a method known as information mapping. This can be wherever complicated medicines are tailor-made to figure harmonical with the patient’s distinctive biological science profile, instead of taking a ‘one size fits all’ approach to medicamentation that the majority of the population would possibly receive. This could mitigate or eliminate facet affects being old by patients World Health Organization are taking inappropriate doses or sorts of their medicament. AI will be used to assist researchers and scientists notice the foremost economical ways in which to convert collected information into a compelling theory and manufacture a high impact paper. Over time and with a lot of machine learning, AI will step by step work towards turning the mass of information chorused from time period experiments into a refined and helpful set of directions for researchers to simply get to grips with. Several consultants believe that the event of psychologically realistic AI, that possess traits like consciousness and imaginative and prescient, may be the key to unlocking many scientific mysteries. Such Associate in Nursing AI may be accustomed virtually ‘see the longer term’ by sleuthing the emergent properties in experimental information, resulting in complete new analyses and potential paradigms that humans wouldn’t be able to reach alone. Definitely, paper aims at testing AI generated ideas against the judgment of Area unit(s), with the results showing that despite an area unit accomplishing a lot of higher than likelihood guessing, AI generated plans still cannot match the judgment of Associate in Nursing area unit skilled.

5. Conclusion

Based on the analysis provided in this paper, it is clear that artificial intelligence has various benefits in research paper writing. First, AI provides a faster and more organized way of conducting literature search. Secondly, AI helps in identifying and managing large amount of information and literature that has to be reviewed. AI systems can be used to organize the existing literature in a particular research field. By doing so, they help not only in discovering new knowledge, but also in reusing the existing knowledge. Thirdly, AI can help in literature review, quality assessment, hypothesis formulation, research methodologies, data collection and analysis, and scientific writing and proof-reading. Also, AI has the potential to make scientific investigation more and more efficient, by helping researchers to have a more systematic and smart way of doing experiments and analysis. In terms of scientific writing, I think AI not only helps in terms of getting a literature review done efficiently, but also raises the possibility of generating new ideas and new methods by helping in every aspect of scientific investigation mentioned previously. Last but not least, AI can provide a big help in learning and teaching in research. With new technologies and new applications of AI coming out every day, as discussed in the previous sections, it is very tempting for computer science researchers to look into the possibility of adopting these new “toys” in their studies. The same as adopting any kind of research method or research tool, a critical evaluation of its potential and limitation is required. I believe that if AI is to be introduced to research studies, first we need to have a clear guideline given by both experienced researchers and computer or information scientists on how to select the right tool and how to plan the use of this tool in the research process. We also need to raise the awareness and understanding of the benefits and potential that AI technology can give to both research and our society. With a proper strategy of introducing AI to research practices, I think AI has the potential to greatly benefit all the researchers and research projects in the future.