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.

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.

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 ...

What people would generally like about you? A bit shy and maintains a few close friends and they commit to such friendship. What people would generally dislike about you? They can overthink a lot and ...

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 ...

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 ...

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.