No more breathing through a tube. Neural networks will be developed in Tomsk to detect alcohol intoxication by voice.

A TUSUR student is developing an intelligent system for determining psycho-emotional state and the degree of alcohol intoxication. Paul Laptev. 

According to RIA Tomsk, the neural network will analyze speech volume, the number and length of pauses, and determine fatigue, anger, and rage. 

«To put it simply, the recording of the employee’s speech is sent to the analysis server, where we will use neural networks to check the necessary indicators.” — Laptev explained.

The student received one million rubles for his project. Pavel plans to use his development to screen employees at companies to reduce the risk of accidents.

We think it wouldn't hurt to run the statements of the #ShameReview column's heroes through such a neural network. 

For example, a State Duma deputy Andrew GurulevaThe day before, he declared the need to "isolate" or "destroy" the 20% of Russia's population that does not support Putin. Gurulev's possible alcohol consumption sparked widespread discussion on social media.

Although the deputy chairman of the Security Council raises more questions Dmitriy Medvedev, whose drunkenness has long since become a meme.