Home Business AI in Polyontology: Machine Learning Dinosaur Brings new progress in teeth classification...

AI in Polyontology: Machine Learning Dinosaur Brings new progress in teeth classification – Science

1
0

AO SAPO tek, Carolina S.It was part of the faculty of the University of Lisbon, “There have been many attempts in recent years Create a complete database of teeth measurements with different classification groups”.

However, it is allowed to note that the methods used for the work classification of work done with the help of polyontologists are accurately. For example, the fact that there are “fulfilled expectations” in relation to the simplicity of data “and” every person uses their method. ” “There is no standard method to do these classifications”He explained.

This observation team led to a study with a study, recently published in scientific magazine PiergeWere, and,, and,, and,, and,.. Vanda Santas and Elisabet Malafia from Dome Louise Institute, Sora Perira from the African Institute for Mathematical Sciences and Soraya Pereira from Emmanuel Dufork and Seale.

AI in Paleontology: Machine Learning Dinosaur brings new progress in the classification of teeth

Carolina S.

“Data -Title =” In IA Paliatology: Machine Learning Dinosaurs Brings new progress in the classification of teeth – IA: Machine Learning Dinosaur Brings new progress in teeth classification

AI in Paleontology: Machine Learning Dinosaur brings new progress in the classification of teeth Carolina S.

Researchers Explore the use of machine learning tools to improve the classification of dental teaching dinosaursUsing different data standardization strategies and techniques to compare different samples and deal with the sub-dominance of some styles.

Carolina S. As Marous points out, it brings a set of technology purposes. For example, “it does not have more UMP hall as more traditional methods.” Machine Learning Technology “It has a very good ability to find patterns that we cannot recognize as easy”Said.

In addition to the speed of models, and take advantage of the new computing capabilities that are now available to most people, Technology also allows for faster to get results, also allows to identify changes in a single classification group, obtaining more accurate and strong classifications.

Click on pictures to see more detail

Trained models and developed code are available so that they are used in the classification of new copies. “In this study, we give the samples of people already trained so that people can apply to new data”He confirms the researcher.

“This work and works developed in this area are a tool for polyontologists”Emphasizes the researcher. “AI and machine learning models cannot replace a human being. This process should always be human in order to verify the results of models ”.

Carolina S. According to Marose, the The next step in research is to assess other types of machine practice asIncluding film patterns such as conditional networks, Can determine the results of the measurements.

Source link