Post by account_disabled on Mar 16, 2024 9:06:42 GMT 1
The digitalization of smell, the new path of artificial intelligence being explored The draft year is a year of significant progress in the application of artificial intelligence, especially in the fields of natural language processing and content generation, whether it is images, text or videos. It seems that the year that has just begun will continue along the same path, expanding the impact of this technology in everyday aspects of people's lives, such as the scent of hygiene and beauty products. A startup from San Francisco has developed a system capable of predicting the smell of molecules based on their structure, with the goal of becoming the basis for creating next-generation scents for perfumes, shampoos, lotions, candles and other everyday products.
Sight and hearing have gone digital, but our oldest and deepest sense, smell, has not. Bringing an unprecedented combination of hardware, software, data and capital to this historic challenge, the company explains on its website. computers to produce smells as they now produce images and sounds. The vision is that in the near future, computers will B2B Reviews Club produce smells just as they produce sounds and images now. In this new era, computers will capture and understand the chemical world, helping us enjoy new smells and tastes, recall memories, predict opportunities and dangers, and make life-saving decisions, the company said. To this end, claims to have used machine learning to create the first smell map in human history.
Building scented machines requires odor mapping, a method of predicting the odor of a molecule from its structure, the company explains. As reported, this odor map is a method of classifying smells so that molecules with similar smells are clustered together, but instead of using a human nose, it is done using artificial intelligence. 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 scent. Additionally, the model analyzed molecules that were designed by scientists but never produced, so their scents were not classified.
Sight and hearing have gone digital, but our oldest and deepest sense, smell, has not. Bringing an unprecedented combination of hardware, software, data and capital to this historic challenge, the company explains on its website. computers to produce smells as they now produce images and sounds. The vision is that in the near future, computers will B2B Reviews Club produce smells just as they produce sounds and images now. In this new era, computers will capture and understand the chemical world, helping us enjoy new smells and tastes, recall memories, predict opportunities and dangers, and make life-saving decisions, the company said. To this end, claims to have used machine learning to create the first smell map in human history.
Building scented machines requires odor mapping, a method of predicting the odor of a molecule from its structure, the company explains. As reported, this odor map is a method of classifying smells so that molecules with similar smells are clustered together, but instead of using a human nose, it is done using artificial intelligence. 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 scent. Additionally, the model analyzed molecules that were designed by scientists but never produced, so their scents were not classified.