Seven surprising applications of AI

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Artificial Intelligence / Machine Learning

Everyone is talking about AI applications for healthcare, financial services and self-driving cars. At the same time, creative occupations were previously understood to be immune from the disruptions of AI due to the high levels of intuition and gut instinct, difficult to replicate by complex algorithms, but that is changing now. In this post, I want to talk about 7 lesser-known ways Artificial Intelligence is changing the world around us. Some of these applications might surprise you.

1. Using AI to Create New Fragrances 

The art and science of perfume making is a complex process that takes years to master, but now this task of evoking olfactory senses is being done by Artificial Intelligence. Building on previous research of using AI to pair flavors and for recipe creation, IBM partnered up with Symrise, one of the top global producers of flavors and fragrances to create an AI system that can learn about perfume formulas, raw materials, historical success data and industry trends.

Named Philyra, an AI-based system uses machine learning algorithm to study Symrise’s massive database of formulas and scent combinations to identify patterns and new combinations to find a potential gap in the market and fill it with a new scent.

Philyra is currently working on two perfumes that are set to launch in mid-2019 for Brazilian brand O Boticário.

2. Food + AI = Personalized Flavor 

Can AI bring us into the age of personalized food? Quite possibly. Meet Gastrograph, the first Artificial Intelligence platform to understand human sensory perception. It uses machine learning and artificial intelligence to build flavor profiling and new product development for the food and beverage industry.

Gastrograph AI understands what consumers prefer by segmenting the population into different demographic groups and modeling their preference archetypes. Food and beverage producers can use these market insights to bring new products to market and avoid costly duds.

3. Photographs that Become Purchases

We’ve all been there. You see something you like and snap a picture so that you can find something similar in stores. CamFind, the very first successful visual search engine that can photograph, identify, and provide information on any object. Just take a photo of the object and CamFind uses mobile visual search technology to tell you what it is.

4. Crime Prevention

To most of us, the use of Artificial Intelligence to prevent crimes seems like a scene from a Sci-Fi movie. Turns out, the technology that can spot potential problems and suspicious activity in real time already exists.

Meet iCetana, AI-assisted video monitoring software. Using computer vision and patented machine learning, the software analyzes patterns of motion and can tell the difference between normal movement patterns and abnormal events in real-time. The system alerts the guards when it identifies unusual activity. This solves the problem of operator overload in large systems by only showing the feeds where something abnormal is detected, increasing situational awareness.

5. Using AI to Aid in Sentencing of Criminals 

Criminal justice system is one of many industries being transformed by AI. These days, computer-driven evaluation frameworks are being used to inform custodial and sentencing decisions.

One of the most important considerations in judicial decisions, from setting or denying bail, to sentencing, is the likelihood of reoffending. Prior to using algorithms to make these decisions, the risk of recidivism and flight risk was left to the subjective decision-making and gut choices of individual judges. A study out of Cornell University suggests that, at least in decisions of denying or granting bail, AI may provide a significantly fairer alternative to human judges.

In my research, I came across an interesting application. Montgomery County Juvenile Court Judge is working with IBM to adapt company’s Watson AI system to work within the judicial systems. This pilot program is aimed to help judges better understand the child’s circumstances and home life and, in turn, make better decisions regarding their case.

6. Artificial Intelligence in Music Production

Mastering is a form of audio post production. It’s a process that smooths out the song and optimizes the listening experience for any device. There are several considerations in this process: unifying the sound of a record, maintaining consistency across the album and preparing for distribution.

Traditionally, audio mastering is done my sound engineers in the recording studio, but automated mastering has been gaining popularity in the recent years. Online, cloud-based services such as LANDR are inexpensive and easy to use. LANDR’s proprietary AI audio processing engine has been tested by over 1.7 million users and has been built up to accurately master each track according to its essence as well as master an ensemble of tracks to fit together cohesively.

Even though AI still lacks the creative human touch, many believe that AI-powered audio mastering is the future of music production.

7. Using AI to Take Notes

Taking notes during meetings can be quite challenging: pay too much attention to your note taking and you might miss something that’s said, but listen too closely and you can’t type it up.

That’s why Voicera created EVA, an AI bot that joins meetings and takes notes for you. Notes are delivered via email or pushed into other collaboration tools where your team gets work done. EVA can be used during phone calls, video conferences, or in-person meetings.

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