Introduction
Space Biology is an interdisciplinary branch of science that focuses on the study of living beings in the context of outer space. Analyzes how terrestrial organisms, from simple microorganisms to humans, respond and adapt to extreme conditions outside our planet.
Within the framework of Space Biology, it is impossible to ignore the vast and enigmatic cosmos that surrounds us. Beyond being a source of visual wonders and mysteries still undeciphered, outer space is presented as a hostile domain, plagued by radiation that affects everything in its path. That is why we have decided to focus our attention on “cosmic radiation” due to its relevance and direct impact on space exploration and the possibility of extraterrestrial life, especially when NASA intends to send missions to space in which the possibility of carrying other living organisms in addition to human beings.
Objective
For our project we will develop an Artificial Intelligence Model called Tunki. This will design a comprehensive database based on research done by NASA with biometric data. These investigations will be extracted from the Genelab and PubMed repositories, although Genelab is integrated into PubMed along with other repositories.
Once fed with this data, Tunki will train and subsequently provide an efficient systematization and deepening of the current state of knowledge on space biology, delving mainly into cosmic radiation.
In addition, Tunki will be trained to analyze mathematical, physical and chemical formulas that can allow the development of theoretical research models that simulate scenarios and possible results.
In an era where the amount of data grows exponentially, Tunki’s ability to filter, synthesize and present relevant information becomes essential. Its application will not only accelerate advances in the study of cosmic radiation by identifying and proposing key areas for future research, but will also democratize access to knowledge, allowing people without a technical background in the subject to understand and appreciate the wonders and challenges of space from a biological perspective.
In this way, Tunki will have the potential to provide complex information in a simplified, accurate and timely manner that can be used for pedagogical and research purposes.
Vision
Tunki will not only be an essential tool for researchers specializing in space biology, but will also become an invaluable resource for educators and the general public in their desire to learn and understand more about this fascinating field.
The development of artificial intelligence like Tunki brings with it multiple benefits. First, it allows complex information about cosmic radiation to be broken down and presented in a simplified and visually attractive way, facilitating the understanding of concepts that might otherwise be elusive.
Additionally, by automating data collection and analysis, we ensure that the information provided is up-to-date and accurate, which is essential for those in research fields. For the educator, Tunki can become a didactic ally, allowing for more interactive and enriched teaching. And for the general public, this artificial intelligence offers an accessible window into understanding space phenomena and their repercussions on life as we know it.