Therefore tests were conducted

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So the system has been fed data from aromatic molecules, so the software is able to make connections between the molecular structures and their properties. It may seem like a simple process, but small changes in the molecular structure of an aroma can fundamentally alter the smell. Additionally, the model analyzed molecules that were designed by scientists but never produced, so their scents were not classified.  on volunteers so that they could assign scents labels floral, menthol, smoky, etc. Although the perception of odor is highly subjective, this process provides food for a system that still has considerable room.

For improvement when it comes to distinguishing between molecules with very similar structures. Related News This Year Has Been a Great Decade for Artificial Intelligence Microsoft launches an audio-generated AI alternative Iran Telegram Number Data capable of simulating human voices One of the main ideas behind the startup is to provide a viable alternative to fragrance production, especially in This is in the context of the climate emergency and the socio-economic situation that increasingly threaten the raw materials needed to create fragrances. Some species, such as sandalwood, are threatened with extinction due to overharvesting.

                                                       

while saffron or vetiver are vulnerable to supply chain disruptions due to geopolitical unrest. At the same time, some of the synthetic alternatives it uses in the fragrance industry are coming under increasing scrutiny for health safety reasons. In this sense, it is intended to provide an automated solution for the generation of scents, since in many cases today the reproduction of natural aromas is still a manual process. We need to build alternatives. Otherwise, we will have to continue collecting these plants and animals from our ecosystems, the company CEO commented to the above media outlet.