Release date: 2018-03-27
A recent paper published online by the British Journal of Nature and Methods said that American scientists have created a "visualized" artificial neural network, a new, process-accessible deep learning computer algorithm that reveals the internal activities of cells. It has the ability to help people better understand the mechanisms behind previously unknown genetics and physiology.
Artificial intelligence (AI) has been able to perform a variety of complex tasks that typically require humans to complete, such as facial recognition, translation of languages, and game play. The deep learning network is a method based on the representation and learning of data in machine learning. It is also called artificial neural network. It is based on the results of modern neuroscience research, trying to simulate the brain neural network. Memorize information in a way to process information. Deep learning networks are now increasingly used for automated data analysis.
One of the challenges of deep learning models is their "black box" nature, which means that it is not easy to identify the process when a model performs a task. Scientists believe that in biological applications, investigating the ability of deep learning models to identify and process the data analyzed can help researchers better understand the biology behind these data.
This time, Trey Edek, a researcher at the University of California, San Diego, and colleagues created a "visible" artificial nerve by mapping the structure of a deep learning algorithm to the structure of known intracellular molecular systems. The internet. The team showed through experiments that once the model is trained, it can predict the physiological effects of genetic changes.
In addition, because the components of the model are available, it also allows scientists to better understand the relationship between genes and physiological characteristics and the mechanisms behind them. The researchers also showed that this "visible" neural network can be used to understand genetic logic, identify which molecular systems have a significant impact on specific physiological characteristics, and discover new processes that are not known in cells.
Source: Technology Daily
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