Tire Technology International
  • News
    • A-D
      • Appointments
      • Apps
      • Awards
      • Business
      • Certification
      • Components
      • Corporate Social Responsibility
      • Data management
      • Design
      • Distribution
    • E-N
      • Education
      • Factory logistics
      • Headquarters
      • Industry 4.0
      • Investments
      • Machine Vision & Inspection
      • Manufacturing Facilities
      • Materials
      • New tires
    • O-S
      • OE Fitments
      • Partnerships
      • People
      • Regulations
      • Research & Development
      • Retreading
      • Sales facilities
      • Show News
    • S-Z
      • Simulation
      • Sustainability
      • Testing & Analysis
      • Tire Building
      • Tire handling
      • Tire Modeling & Digital Tools
      • Tire Recycling
      • TPMS & Electronics
  • Features
  • Online Magazines
    • July 2023
    • March 2023
    • Annual Showcase 2022
    • November 2022
    • October 2022
    • 年国际轮胎技术年刊
    • Archive Issues
    • Subscribe Free!
  • Opinion
  • Videos
  • Supplier Spotlight
  • Events
LinkedIn Facebook Twitter
  • Automotive Interiors
  • Automotive Testing
  • Autonomous Vehicle
  • Automotive Powertrain
  • Professional Motorsport
  • Media Pack
LinkedIn Facebook
Subscribe
Tire Technology International
  • News
      • Appointments
      • Apps
      • Awards
      • Business
      • Certification
      • Components
      • Corporate Social Responsibility
      • Data management
      • Design
      • Distribution
      • Education
      • Factory logistics
      • Headquarters
      • Industry 4.0
      • Investments
      • Machine Vision & Inspection
      • Manufacturing Facilities
      • Materials
      • New tires
      • OE Fitments
      • Partnerships
      • People
      • Regulations
      • Research & Development
      • Retreading
      • Sales facilities
      • Show News
      • Simulation
      • Sustainability
      • Testing & Analysis
      • Tire Building
      • Tire handling
      • Tire Modeling & Digital Tools
      • Tire Recycling
      • TPMS & Electronics
  • Features
  • Online Magazines
    1. March/April 2025
    2. November 2024
    3. Annual Showcase 2024
    4. October 2024
    5. July 2024
    6. March 2024
    7. 年国际轮胎技术年刊
    8. Subscribe Free!
    Featured
    28th April 2025

    In this Issue – March/April 2025

    Online Magazines By Web Team
    Recent

    In this Issue – March/April 2025

    28th April 2025

    In this Issue – November 2024

    11th December 2024

    In this Issue – Annual Showcase 2024

    21st November 2024
  • Opinion
  • Videos
  • Awards
    • Tire Technology International Awards 2025
    • 2024 Winners
    • 2023 Winners
    • 2022 Winners
    • 2020 Winners
    • Previous Winners
  • Supplier Spotlight
  • Events
LinkedIn Facebook
Subscribe
Tire Technology International
Tire Modeling & Digital Tools

Yokohama Rubber utilizes AI to predict tire characteristics

Callum Brook-JonesBy Callum Brook-Jones2nd December 20212 Mins Read
Share LinkedIn Twitter Facebook Email

The development of a proprietary system that utilizes AI to predict the values of key tire characteristics has been announced by Yokohama Rubber.

Yokohama started to use the system this month and predicts that it will enable the company to conduct a large number of virtual experiments, resulting in the acceleration of new tire development, reduced development costs, and better performing products. The manufacturer also says that the system will make it easier for less-experienced engineers to develop new tire designs.

Developed under Yokohama’s AI utilization concept called HAICoLab (Humans and AI ColLaborate for digital innovation), the latest AI system is capable of predicting values for key tire characteristics based on data supplied by tire designers. This includes specifications-related data for tire design parameters such as physical properties of compounds, material-related data, structure and shape, and evaluation conditions.

Yokohama states that the new system reduces the deterioration of AI prediction accuracy, a problem that can occur during the tire design phase. As design parameters differ depending on a tire’s internal structure, separate databases are needed and used for AI learning according to the tire’s structural features. Narrowly composed learning data can sometimes reduce the accuracy of AI prediction; however, the prediction accuracy of Yokohama’s AI is improved by transferring AI prediction ability from related areas.

The tire maker is also utilizing an earlier AI system that was first developed in December 2020 alongside the latest AI solution. By using both systems in tandem, Yokohama hopes to enhance the development of a range of new tires.

Yokohama aims to acquire knowledge by creating and collecting data based on hypothetical conditions set by humans. The company then applies the AI system to predict, analyze and search for optimal results.

Share. Twitter LinkedIn Facebook Email
Previous ArticleVESevo wins award for tire testing device
Next Article Pirelli and University of Milan to continue research on tire development in virtual reality

Related Posts

Testing & Analysis

Koala Technologies launches Te.Sense Bloom tire deflation testing solution in new markets

20th March 20254 Mins Read
Testing & Analysis

Kistler presents new wheel force transducer for motorsport tire testing

13th January 20253 Mins Read
Intelligent tire technology

Michelin partners with Beontag on RFID-enabled smart tires

13th December 20242 Mins Read
Latest News

USTMA welcomes move to overturn EPA’s revised NESHAP rules

13th May 2025

Bridgestone debuts 70% recycled and renewable demo tire

13th May 2025

Volkswagen chooses Vredestein winter tire as OE for Tiguan SUV

12th May 2025

Receive breaking stories and features in your inbox each week, for free


Enter your email address:


Supplier Spotlights
  • MAKROchem
Getting in Touch
  • Contact Us
  • Meet The Editors
  • Download Media Pack
  • Free Weekly E-Newsletter
Our Social Channels
  • Facebook
  • LinkedIn
RELATED UKI TOPICS
  • Automotive Interiors
  • Automotive Testing
  • Autonomous Vehicle
  • Automotive Powertrain
  • Professional Motorsport
  • Media Pack
© 2025 UKi Media & Events a division of UKIP Media & Events Ltd
  • Terms and Conditions
  • Privacy Policy
  • Cookie Policy
  • Notice & Takedown Policy

Type above and press Enter to search. Press Esc to cancel.

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
Cookie settingsACCEPT
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the ...
Necessary
Always Enabled

Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.

CookieDurationDescription
cookielawinfo-checkbox-necessary1 yearSet by the GDPR Cookie Consent plugin, this cookie records the user consent for the cookies in the "Necessary" category.
elementorneverThe website's WordPress theme uses this cookie. It allows the website owner to implement or change the website's content in real-time.

Advertisement

Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.

CookieDurationDescription
OAGEOsessionOpenX sets this cookie to avoid the repeated display of the same ad.
OAID1 yearCookie set to record whether the user has opted out of the collection of information by the AdsWizz Service Cookies.
test_cookie15 minutesdoubleclick.net sets this cookie to determine if the user's browser supports cookies.
VISITOR_INFO1_LIVE5 months 27 daysYouTube sets this cookie to measure bandwidth, determining whether the user gets the new or old player interface.
YSCsessionYoutube sets this cookie to track the views of embedded videos on Youtube pages.
yt-remote-connected-devicesneverYouTube sets this cookie to store the user's video preferences using embedded YouTube videos.
yt-remote-device-idneverYouTube sets this cookie to store the user's video preferences using embedded YouTube videos.
yt.innertube::nextIdneverYouTube sets this cookie to register a unique ID to store data on what videos from YouTube the user has seen.
yt.innertube::requestsneverYouTube sets this cookie to register a unique ID to store data on what videos from YouTube the user has seen.

Analytics

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.

CookieDurationDescription
CONSENT2 yearsYouTube sets this cookie via embedded YouTube videos and registers anonymous statistical data.
_ga1 year 1 month 4 daysGoogle Analytics sets this cookie to calculate visitor, session and campaign data and track site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognise unique visitors.
_ga_*1 year 1 month 4 daysGoogle Analytics sets this cookie to store and count page views.

Functional

Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.

CookieDurationDescription
__cf_bm30 minutesCloudflare set the cookie to support Cloudflare Bot Management.

SAVE & ACCEPT
Powered by