Google's New Neural Network Might Predict Smells

While AI has a wide variety of applications, detecting smells was certainly non one. This is about to alter as Google is developing graph neural networks capable of identifying molecules and predicting smells.

Researchers at Google created a data set containing about v,000 molecules that are identified by perfume experts with descriptions like "fresh", "fruity", "sweet", and "chocolate".

From the bachelor data gear up, the researchers used two-thirds of it to train the AI and the residue to test the efficiency of the AI. After the testing, the researchers noted that the neural network was able to identify the smell of a molecule based on its construction.

By this step, Google aims to solve the problems encountered in predicting the smell from a molecular structure, technically known equally Quantitative Structure-Smell Relationship (QSOR) Modeling.

If you're interested to know how this graph neural network works, Google researchers take published a research paper that you lot can check out from here.

Google believes that its work could lead to the discovery of new synthetic odorants. "Progress in deep learning for olfaction would aid in the discovery of new constructed odorants, thereby reducing the ecological affect of harvesting natural products. Additionally, new representations of molecules derived from a model trained on smell recognition tasks may contribute our agreement of sensory perception in the brain.",wrote the researchers.

The researchers take planned to open-source data sets related to odor prediction as a way of supporting fellow researchers. However, this is indeed a step in the right management and will serve as reference material for in-depth enquiry in this field.

So, what potential applications strikes your listen by AI capable of detecting smells? Tell us in the comments department.