• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Wednesday, August 27, 2025
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News Biology

HSE researchers use neural networks for odor recognition

Bioengineer by Bioengineer
August 10, 2017
in Biology
Reading Time: 2 mins read
0
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

Researchers from the HSE Laboratory of Space Research, Technologies, Systems and Processes have applied fast-learning artificial intelligence to odour recognition and patented a handy electronic-nose device capable of recognising the olfactory patterns of a wide range of chemicals. In addition to discriminating between different gas mixtures, the electronic nose will be able to capture and memorise new smells. According to HSE scientists, the product of their research is likely to benefit both security services and members of the public. http://www1.fips.ru/fips_servl/fips_servlet?DB=RUPM&DocNumber=171691&TypeFile=html

Electronic nose devices are gas analysers used for measuring the qualitative and quantitative composition of gas mixtures. The HSE scientists' innovation is that their device is based on solid-state gas-sensitive matrices of semiconductor sensors and uses a fast-learning AI neural network. The proposed technology gives high accuracy in analysing gas mixtures and mimics the olfactory function of living organisms by remembering new smells and easily recognising them afterwards.

"There are lots of gas and odour sensors available, but they are designed to recognise just one specific smell," according to Vladimir Kulagin, professor at MIEM HSE. "For example, methane sensors can detect an increase in this gas and warn underground mine workers of the danger, but if faced with a gas mixture, this sensor will only recognise the methane and ignore the other components. This can pose a problem, since many gases are hazardous when mixed with other gases. MIEM HSE researchers are now working on algorithms, software solutions and techniques for neural network odour recognition. Our main objective at the moment is to increase the range of olfactory patterns the device can recognise by enabling it to promptly learn new smells and commit this information to memory. Essentially, we want to teach the device to discriminate between hazardous and non-hazardous gas mixtures and memorise them fast. For this, it needs to know the characteristics of each gas."

This is how it will work. If the device captures a smell it cannot recognise promptly, the AI will search its database for the closest similar smell determined by the smallest Hamming distance to any known smell code. Where no such close second exists, i.e. the distances between codes exceed the Hamming distance in all neural networks, the device will identify the smell as being new to it.

In this case, the new olfactory pattern will be uploaded to the database and a new neural network trained for this smell. As a result, both automatic learning of new smells and more accurate recognition will be achieved. Where a new smell matches two different patterns in the database, the one whose code is closer to the reference code by the Hamming distance (based on the number of bit coincidences) is preferred. Another advantage is the possibility of correcting e-nose errors due to ageing of the array of gas sensors.

Potential applications of the device are widespread and include environmental monitoring, detecting terrorist threats to people and facilities, early warning of technogenic disasters, aircraft or spacecraft on-board instruments, technology for monitoring feedstock quality, and odour control for industrial processes.

###

Media Contact

Liudmila Mezentseva
[email protected]
7-926-313-2406
@https://twitter.com/HSE_eng

http://www.hse.ru/en/

https://www.hse.ru/en/news/208020672.html

Share12Tweet8Share2ShareShareShare2

Related Posts

Genomic Analysis Reveals How Cavefish Evolved to Lose Their Eyes

Genomic Analysis Reveals How Cavefish Evolved to Lose Their Eyes

August 27, 2025
blank

Unraveling Hypospadias: Genetics and Development Insights

August 27, 2025

Dynamic Fusion Model Enhances scRNA-seq Clustering

August 27, 2025

Scientists Unveil First Complete Structure of Botulinum Neurotoxin Complex

August 27, 2025
Please login to join discussion

POPULAR NEWS

  • blank

    Breakthrough in Computer Hardware Advances Solves Complex Optimization Challenges

    149 shares
    Share 60 Tweet 37
  • Molecules in Focus: Capturing the Timeless Dance of Particles

    142 shares
    Share 57 Tweet 36
  • New Drug Formulation Transforms Intravenous Treatments into Rapid Injections

    115 shares
    Share 46 Tweet 29
  • Neuropsychiatric Risks Linked to COVID-19 Revealed

    82 shares
    Share 33 Tweet 21

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

Gen Z Nurses: Workplace Expectations and Preferences Unveiled

Wayne State Study Advances Quality of Life for Individuals with Type 1 Diabetes

Humanoid Robots Progressing Rapidly, Yet Confront Significant ‘Data Gap’

  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.