AI tastebuds are better at identifying what’s in food than you

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AI tastebuds are better at identifying what’s in food than you

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Picking out individual ingredients from a dish can be a fun, if difficult, part of a meal. Professional chefs and food scientists can spend years refining their palettes. Now, a ****** may be able to join in the activity thanks to the researchers behind a robotic taster that combines AI and an electronic ******* capable of detecting tiny differences in flavor.

The Penn State research team has published a paper detailing how the AI ‘brain’ uses the artificial ******* to detect how much water is in a cup of milk, the mix of beans in a coffee blend, and even incipient rot in fruit juice that would be impossible for a human to spot. 

Electronics to identify components in a mixture isn’t a new idea. That’s how machines can measure things like acidity and temperature. But, what the researchers have done goes beyond that by using AI to mimic the way your *******, nose, and brain interpret the taste of things beyond a simple detection of pH balance. Using the advanced sensors known as ISFET (graphene-based ion-sensitive field-effect transistor), the electronic ******* can measure a lot of complex chemicals at the same time instead of needing multiple kinds of sensors like a thermometer and pH testing stick. 

The sensors produce a huge amount of data, which standard computer processors might take a while to sort out, and the analysis wouldn’t tell you much about how watered down the milk is or how freshly squeezed your orange juice is. Instead, the researchers used AI in the form of a neural network that can mimic some of how humans process taste. 

Flavor AI

After teaching the AI how different chemicals affect the electronic *******’s sensors, the neural network could accurately identify different types of soda and the freshness of juice more than 80% of the time. That was just the beginning, however. When the scientists took the metaphorical leash off the AI and let it come up with its own way of analyzing the data, the AI’s accuracy shot up to 95%, barely ever getting a wrong answer.

The combination of measuring subtle aspects of food plus using AI to judge what they mean is an impressive simulation of how humans taste things. It can also do so when a difference is too subtle for human perception, like if milk isn’t bad yet but will be soon.

Food tests for purity and freshness are only some of what an accurate AI ******* could do for people. Taste is, at its most basic level, a way of identifying chemicals. That means the AI taster could help in more than just the kitchen. It could theoretically help in industrial factories or in medical diagnostics, spotting biomarkers of ******** or changes in your health. These concepts are still in the early discussion phase, but the electronic ******* may be a taste of the future.

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