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Browsing by tag: artificial intelligence

All wrapped with a milky, buttery, rich base note

Posted by Robin on 30 October 2018 4 Comments

In the case of the perfumes Philyra made for Boticário, the brand asked for scents that would target millennials living in Brazil. Philyra compared formulas against scents that were popular in that area and age range and came up with two. The first, according to Symrise senior perfumer David Apel, smells like “things I only can associate with exotic cuisine … fenugreek seeds, green cardamom pods, carrot seed, all wrapped with a milky, buttery, rich base note.”

— Last week, when I reported on the AI system IBM is developing for fragrance company Symrise, I missed the more detailed description of its first two fragrance efforts. It's at Vox; read more at Is AI the future of perfume? IBM is betting on it.

As any perfumer would

Posted by Robin on 24 October 2018 8 Comments

Dave Apel, who started in the perfumery business in 1980, says Philyra learned as any perfumer would. “It essentially learned the combinations of materials that are aesthetically pleasing, if you will — things that have been traditionally seen to work together, a kind of balance of how the materials are harmonious or not, and where there is signature within a fragrance,” he says.

— The artificial intelligence system Philyra, created as a collaboration between IBM and fragrance company Symrise, will have its first perfumes on the market next year. Read more at The Scent of an AI at Datanami. (Also: Using AI to Create New Fragrances at IBM and Breaking new fragrance ground with artificial intelligence (AI): IBM Research and Symrise are working together at Symrise.)

Olfactory circuits

Posted by Robin on 24 September 2018 Leave a Comment

But a handful of [research groups] are choosing what may at first seem like an unlikely starting point: the sense of smell, or olfaction. Scientists trying to gain a better understanding of how organisms process chemical information have uncovered coding strategies that seem especially relevant to problems in AI. Moreover, olfactory circuits bear striking similarities to more complex brain regions that have been of interest in the quest to build better machines.

— Read more at New AI Strategy Mimics How Brains Learn to Smell at Quanta Magazine.

Gloriously specific

Posted by Robin on 10 October 2017 Leave a Comment

Our sense of smell is gloriously specific. The mellow aroma of butter and flour rising from warm pie crust, the synthetic bite of fresh paint, the familiar odor of a new car—when we get a whiff of something, we know immediately what it is. But this natural delicacy of perception far exceeds our ability to tell how a given molecule, drawn on a blackboard and considered as an abstraction, will strike our noses.

— Computers can't smell yet, but they're learning. Read more at O.K., Computer, Tell Me What This Smells Like at The New Yorker.

A three- to five-year time frame

Posted by Robin on 2 May 2017 2 Comments

“I think the fact that you’re seeing so much activity both in commercial and academic settings shows that we’re getting a lot closer,” said Cristina Davis, a biomedical engineer and professor at the University of California, Davis, who also is helping to develop an odor sensor to diagnose disease.

“My estimate is it’s a three- to five-year time frame” before such tools are available to clinicians, she added.

— The New York Times takes a look at the use of odor sensor technology in the diagnosis of disease. Read more in One Day, a Machine Will Smell Whether You’re Sick.

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