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They decided to train artificial intelligence to track the food a person eats

The technology is still being refined

Artificial intelligence is penetrating deeper and deeper into our lives. But it seems that now he is ready to literally invade our plate. Canadian scientists are working on new technology that will track what you eat. Using this technology, it will be possible to obtain clearer information about the calorie content of a dish.

The technology is still being finalized < /span>

“Current food portion estimation algorithms assume that users photograph food once or twice. This can be inconvenient and prevents you from capturing food items that are not visible. For example, vegetables immersed in meat,” — say researchers from the University of Waterloo in Canada.

Scientists explain: Instead of looking at an image of your plate, the new system will study every spoon on its way to your mouth. This supposedly makes the calculations much more accurate.

It can calculate the amount of food you've eaten with an error rate of just 4.4%. While the system can't currently recognize the food on your spoon, trainers are training it to recognize what you're eating. Ultimately, the technology should be able to recognize a wide range of foods, even ones it hasn't seen before.

«We're moving toward using big language models like ChatGPT to understand what's in the spoon, or maybe ask a simple question. Like, 'Is that chicken?' In most cases, especially for people eating at home, the food might not have a name. It might just be whatever they have in the fridge that they mixed together,» Yuhao Chen of the University of Waterloo wrote in New Scientist.

The technology will work with forks and chopsticks as well as spoons. Just last month, the World Health Organization released its own AI health app that answers users' diet and health questions 24 hours a day.

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