People used to associate the term “artificial intelligence” with science fiction images without even thinking that one day it could come to life.
However, there is many ways in which AI it is used behind the scenes in everyday life, which we do not even realize.
There are many ways in which AI is used effectively in the medical industry. One of the recent advances has involved the application of AI techniques for drug discovery.
This was done by WITH. Using an AI model that has been trained with a wide range of drug and disease data sets, the researchers identified a new type of antibiotic called halicin that can kill many species of bacteria.
The team modeled the classification through a deep neural network and used a computer model capable of testing more than 100 million chemical compounds in a matter of days.
Simulation of human muscles
Another interesting example of the application of AI in the field of health that has not yet been developed for medical use is a muscle simulation experiment conducted by the National University of Alone.
The idea was to build a model that could reproduce realistic human movements. The researchers created a musculoskeletal model based on deep learning, demonstrating predictive simulation of muscle conditions and human movements in case of muscle weakness, bone deformity and the use of a prosthesis.
Such simulations could be useful in studying human physiology from a new point of view and developing new ways of simulating human movements.
It could be a valuable tool for understanding human movement before and after surgery. Thus, the surgical specifications could be adjusted and potential problems could be foreseen.
Simulations could also become a viable approach to determining how the muscles involved in physical activity could be used for therapy and sports. Furthermore, simulation technology could be applied to identify potential problems for a person with motor defects.
AI is also involved in various aspects of physics. With the ability to manipulate millions of particles in a virtually unlimited simulation range, AI allows fluid simulations large-scale with advanced effects.
Tsunami simulations are also developed by using complementary AI models to help scientists predict tsunamis and how they will most likely behave.
It is also possible to use AI to create smoke simulations to produce more accurate predictions about how smoke might move in the event of a fire to help minimize the effects of such hazards.
AI technology has great potential to become a tool for development and progress in science and other fields. The technology can be used to find new solutions by simulating scenarios instead of expensive and time-consuming tests.
Machine learning algorithms can be used to bring new approaches in determining product formulas, such as perfume manufacturing.
A major German perfume manufacturer, Symrise and technology giant IBM efficiently use Philyra’s machine learning algorithm that studies existing perfume formulas and compares ingredients to customer data, such as geography, age and preferences. Then create new formulas aimed at certain market segments.
Similarly, AI is integrated into brewing processes to increase production and improve beer quality. IntelligentX, which introduced the world’s first AI-brewed beer, receives customer feedback based on machine learning algorithms to create unique recipes tailored to customer tastes.
Advances in AI technology have reshaped many industries. To thrive in this new environment of digital transformation and automation and to manage these emerging opportunities, forward-looking corporations need to invest in explainable AI that does not completely replace human experience.