In the modern era, when the boundaries of science and technology are changing at unprecedeed speed, scieific competition is not limited to academic environmes or laboratories, but has been drawn to a broader field of innovation and creativity, according to the . In the meaime, artificial ielligence as one of the most promine technologies of the ceury has made a huge change in various industries. With capabilities such as learning, data analysis, reasoning and iellige decision -making, it has been able to carry out complex tasks with speed and accuracy beyond human power.
One of the most importa branches of artificial ielligence is Natural Language Processing (NLP); A specialized area that allows machines to understand, analyze, and even produce text and speech. This capability provides the ieraction between humans and smart systems easier, more natural and more efficie.
In the field of knowledge research and production, scieific data such as specialized articles, theses, reference books, and research reports are considered unmatched. The analysis of these scieific resources can lead to the discovery of hidden patterns, extracting modern knowledge, and ideifying future trends in differe fields. However, the enormous amou of information available, without the use of tools Technological And advanced technologies make it difficult to manage and analyze structured.
In this regard, iernational scieific databases such as PubMed, Scopus and Google Scholar, as well as national resources such as SID, play a key role in the scieific system and research coe analysis. In addition to facilitating researchers’ access to valid sources, these databases allow for a deeper understanding of the structure of science, research networks and knowledge flow in various disciplines when combined with artificial ielligence and data processing algorithms.
Due to the enormous capacity of the scieific data at the SID base, the ceer has organized an eve called “The Challenge of the Research Artificial Ielligence” with the participation of the Scieific Jihad Project, Ahura Company and a number of academic academic ceers. The purpose of the eve is to participate in the participation of professors, studes and professionals to resolve the challenge of processing and analyzing scieific data to maximize the use of academic community and policymakers to scieific resources. The eve provides a competitive coext for researchers, studes, startups and artificial ielligence ehusiasts to showcase their capabilities in designing and developing creative solutions for processing and analyzing scieific texts as well as developing smart tools for scieific coe analysis.
Registration for the eve will start on Tuesday, September 5, and will coinue uil Tuesday, October 5th. The race axes also include 1. Graph of Knowledge of Articles, 1. Extraction of references and narrative ideification, 1. Cover and hierarchical theme clustering, 1. Ideification of research trends and 1. The automatic discovery of Persian and Latin scieific keywords will be the equivale of the semaic and extracting key parts of the articles that allow the winners of the valuable cash awards competition, the use of a deduction project, the support of the dissertation, the dissertation or the postgraduate project, as well as the opportunity to collaborate with companies and ceers active in this field.
Ierested parties can register through this link.
(tagstotranslate) Scieific Information Ceer of Academic Jihad (T) Artificial Ielligence (T) Scieific Research Research
