A Tool Using Artificial Intelligence to Recognize and Predict Smells

An Artificial Intelligence to Recognize and Predict Smells

A Tool Using Artificial Intelligence to Recognize and Predict Smells


A technological instrument developed by American researchers seeks to recognize and replicate various odors.

Artificial intelligence powers the system (AI). Researchers from Google, universities and the Monell Chemical Senses Center created and evaluated the technology. In a recent article published in the journal Proceedings of the National Academy of Sciences, the team presented the methodology's findings and provided a description of the procedure.

According to experts, molecules released into the air from odors, are often known as odors. The "sensory receptors" in our noses then process those substances there. These receptors communicate with the brain to assist us in identifying odors.

According to scientists, we recognize and measure odors using sensory maps, just like how we identify and measure colors. Maps, for instance, can display a wide range of colors, just like the conventional color wheel. These color combinations and their interplay are displayed on the maps.

However, according to the researchers, historically speaking, "useful maps for smell have been nonexistent." This is due to how complicated the chemicals involved in smell are. They are dependent on more than just the photons that enable color vision.

The researchers also noted that while the human eye only has three color-sensing receptors, the human nose has more than 300.

The researchers developed a neural network model that seeks to provide a "map" to identify chemicals connected to odors by building on prior studies. A computer processing system designed to resemble the human brain is known as a neural network.

The newly created technology is referred to as a "primary odor map" by the Google AI team. The map's major objective, according to the researchers, is to "predict the odor qualities of compounds."

The neural network models also taught the necessary molecular traits for making accurate smell predictions. The researchers stated that they are able to "predict and find novel scents and the molecules that cause them" thanks to the AI-powered map.

According to the study group, there are undoubtedly billions of molecules that are likely aromatic but have not yet been detected as odorous. The mapping method was demonstrated to be able to identify an odorous molecule from its structure, and according to the researchers, "this guides us to discover new classes of odorants."

The researchers claimed to have gathered the largest ever set of information on odor descriptors for various compounds for the studies.

They employed human subjects to identify the odors of 400 compounds using 55 different descriptions for the sake of comparison. According to the research team, the neural network model consistently outperformed human volunteers in odor recognition tests.

The group claimed that numerous industries, including those in the food, fragrance, and health care sectors, may benefit from such a tool.

The instrument, according to the experts, can be used to combat one of the largest health issues facing the globe today: diseases brought on by insects. They claimed that the technique can gauge how well a chemical repels mosquitoes from humans.

The scientists claimed to have found a number of novel compounds that are at least as effective as DEET, a substance frequently found in insect repellents, at keeping mosquitoes away.

This discovery, according to the researchers, could result in the creation of repellents that are less expensive, more durable, and more secure than those that contain DEET. The team continued, saying that such repellents might be used "to reduce the global occurrence of diseases like malaria, thereby sparing countless lives."

AI to Recognize and Predict Smells by Reviews & Views SSAAZS

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