Monday September 23, 2019
Home Lead Story Now Comes Art...

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

0
//
perfumes
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.

Also Read- People Hope to Get Transparency in System With #MeToo Movement

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

Researchers Can Now Detect Heart Failure with 100% Accuracy with the Help of Artificial Intelligence

Conversely, their new model uses a combination of advanced signal processing and machine learning tools on raw ECG signals, delivering 100 per cent accuracy

0
Artificial Intelligence Bot
Artificial Intelligence Bot. Pixabay

With the help of Artificial Intelligence(AI), researchers have developed a neural network approach that can accurately identify congestive heart failure with 100 per cent accuracy through analysis of just one raw electrocardiogram (ECG) heartbeat.

Congestive heart failure (CHF) is a chronic progressive condition that affects the pumping power of the heart muscles. Associated with high prevalence, significant mortality rates and sustained healthcare costs, clinical practitioners and health systems urgently require efficient detection processes.

The researchers have worked to tackle these important concerns by using Convolutional Neural Networks (CNN) – hierarchical neural networks highly effective in recognising patterns and structures in data.

“We trained and tested the CNN model on large publicly available ECG datasets featuring subjects with CHF as well as healthy, non-arrhythmic hearts. Our model delivered 100 per cent accuracy: by checking just one heartbeat we are able detect whether or not a person has heart failure,” said study researcher Sebastiano Massaro, Associate Professor at the University of Surrey in the UK.

artificial intelligence, nobel prize
“Artificial intelligence is now one of the fastest-growing areas in all of science and one of the most talked-about topics in society.” VOA

“Our model is also one of the first known to be able to identify the ECG’ s morphological features specifically associated to the severity of the condition,” Massaro said.

Published in Biomedical Signal Processing and Control Journal, the research drastically improves existing CHF detection methods typically focused on heart rate variability that, whilst effective, are time-consuming and prone to errors.

Also Read: Here’s Why 5G Not Yet on Apple’s Mind as Rivals Go Gaga Over it

Conversely, their new model uses a combination of advanced signal processing and machine learning tools on raw ECG signals, delivering 100 per cent accuracy.

“With approximately 26 million people worldwide affected by a form of heart failure, our research presents a major advancement on the current methodology,” said study researcher Leandro Pecchia from the University of Warwick. (IANS)