UANL scientific community embraces Artificial Intelligence

Researcher Francisco Hernandez Cabrera from UANL emphasizes that artificial intelligence can serve as a valuable tool for streamlining certain tasks in scientific research.

In recent years, artificial intelligence has emerged as a topic of significant debate, driven by its growing utilization across various knowledge domains and labor sectors.

Artificial intelligence finds applications in diverse fields such as medicine, robotics, customer service, language translation, and business decision-making. Yet, it remains a subject of controversy, often raising concerns about the hypothetical scenario where machines replace humans.

At the conference titled ‘Sinergia entre la inteligencia artificial y las ciencias biológicas: el futuro de la simbiosis cognitiva’ (Synergy between artificial intelligence and biological sciences: the future of cognitive symbiosis), Francisco Hernández Cabrera discussed the potential roles of this technology in data acquisition, while also highlighting the risks associated with constant surveillance by the algorithms it generates.

“Once it engages in data acquisition, artificial intelligence can autonomously make decisions, prompting us to consider the necessity of regulating these technologies.”
Francisco Hernández Cabrera
UANL Researcher

 

Outline AI Purposes

Artificial intelligence is a rapidly evolving tool that can streamline tasks in scientific research, driven by a synergy approach aimed at advancing humanity as a whole.

Francisco Hernández Cabrera emphasizes that, alongside optimizing information, it will be imperative to establish clear objectives for the utilization of artificial intelligence and delineate the domains of knowledge it is intended to encompass.

In the realm of biology today, this technology aids in the identification of insects through pattern analysis in their textures and in recognizing birds based on the wave frequencies produced by their songs.

Similarly, artificial intelligence has proven invaluable in aiding research related to genetic mixing predictions, facilitating the identification of potential DNA mutations, and efficiently managing data storage for continued investigations in this field.