This algorithm, which was created in IBM’s Thomas J. Watson Research Center and which the company has named Philyra, can now develop new perfumes that will target very specific market segments.

The system is called Philyra, after the Greek goddess of fragrance. Evocative name aside, it can’t smell a thing, so it can’t replace human perfumers. But it gives them a head start on ...

Isn't a sense of smell a critical part of creating perfume? While it's not unimportant, a lot of the groundwork when developing a new fragrance is done by evaluating data, and that's something ...

Named Philyra, after the Greed goddess of fragrance, it uses machine learning to sift through thousands of ingredients, formulas and industry trends to derive what IBM considers to be unique ...

The AI tool, named Philyra, uses a machine-learning algorithm to study Symrise’s database of some 1.7 million formulas and can identify "white space" before suggesting not only formulas that ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. IBM Research has teamed up with fragrance specialists at Symrise to create an AI system ...

IBM created an algorithm — its name is Philyra, according to Datanami — that studies fragrance formulas and customer data, then spits out new perfumes inspired by those training materials.

Philyra bases its knowledge on a database containing the composition of almost 1.7 million perfumes. She also knows in which country, age group and gender a fragrance has sold particularly well.

Last October, IBM Research unveiled a version of this technology the Philyra AI as a tool to accelerate the creation of new and novel scents for the fragrance industry. "It is a system that uses ...