Monday December 16, 2019
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Now Comes Artificial Intelligence (AI)-Designed Perfumes For Sale

The company also plans to introduce "Philyra" into their Perfumery School to help train the next generation of perfumers, firmly embedding AI into the heart of its organisation

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Artificial Intelligence now helps design novel perfumes.

Tech major IBM and Symrise, one of the top global producers of flavours and fragrances, have created industry’s first Artificial Intelligence (AI)-designed perfumes for sale.

The AI-based system named “Philyra” can learn about perfume formulas, raw materials, historical success data and industry trends, IBM Research said in a statement late on Saturday.

“Building on previous IBM research using AI to pair flavours and for recipe creation, as well as our new IBM Research AI for Product Composition, we created Philyra,” said Richard Goodwin, Principal Research Scientist, IBM Research.

The AI tool uses new and advanced Machine Learning (ML) algorithms to sift through hundreds of thousands of formulas and thousands of raw materials, helping identify patterns and novel combinations.

“Philyra does more than serve up inspiration – it can design entirely new fragrance formulas by exploring the entire landscape of fragrance combinations to discover the whitespaces in the global fragrance market,” Goodwin added.

When it comes to new perfume design, “Philyra” learns a distance model to identify fragrances that are close in smell to existing fragrances.

AI scenarios present ethical issues ranging from privacy, human rights, employment or other social issues.
The AI-based system named “Philyra” can learn about perfume formulas, raw materials, historical success data and industry trends. Pixabay

The larger the distance between a fragrance and its neighbours, the more novel the perfume is predicted to be.

Symrise has used “Philyra” to design two perfumes, scheduled to launch in mid-2019.

Symrise’s long-term goal is to introduce this technology to their master perfumers around the globe and continue to use the solution for the design of fragrances for personal care and home care products.

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The company also plans to introduce “Philyra” into their Perfumery School to help train the next generation of perfumers, firmly embedding AI into the heart of its organisation.

“Our research continues to push the boundaries of augmenting human expertise using AI and demonstrating how AI can assist in domains where creativity is key,” said Goodwin. (IANS)

Next Story

New AI can Reduce Risk of Suicide Among Youth

AI can help prevent suicide among youth

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Researchers from USC developed an AI that can prevent suicide risks among youth. Lifetime Stock

In a bid to help mitigate the risk of suicide especially among the homeless youth, a team of researchers at University of California (USC) has turned their focus towards Artificial Intelligence (AI).

Phebe Vayanos, an associate director at USC’s Center for Artificial Intelligence in Society (CAIS), and her team have been working over the last couple of years to design an algorithm capable of identifying who in a given real-life social group would be the best persons to be trained as “gatekeepers” capable of identifying warning signs of suicide and how to respond.

“Our idea was to leverage real-life social network information to build a support network of strategically positioned individuals that can ‘watch-out’ for their friends and refer them to help as needed,” Vayanos said.

Vayanos and study’s lead author Aida Rahmattalabi investigated the potential of social connections such as friends, relatives and acquaintances to help mitigate the risk of suicide.

“We want to ensure that a maximum number of people are being watched out for, taking into account resource limitations and uncertainties of open world deployment,” Vayanos said.

Youth suicide
The AI algorithm can improve the efficiency of suicide prevention trainings. Lifetime Stock

For this study, Vayanos and Rahmattalabi looked at the web of social relationships of young people experiencing homelessness in Los Angeles, given that 1 in 2 youth who are homeless have considered suicide.

“Our algorithm can improve the efficiency of suicide prevention trainings for this particularly vulnerable population,” Vayanos said.

An important goal when deploying this AI system is to ensure fairness and transparency.

“This algorithm can help us find a subset of people in a social network that gives us the best chance that youth will be connected to someone who has been trained when dealing with resource constraints and other uncertainties,” said study co-author Anthony Fulginiti.

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This work is particularly important for vulnerable populations, say the researchers, particularly for youth who are experiencing homelessness.

The paper is set to be presented at the 33rd Conference on Neural Information Processing Systems (NeurIPS) in Vancouver, Canada, this month. (IANS)