How much was the analysis time reduced by this technology?

The analysis time was reduced from approximately 45 minutes to about 5 minutes, a reduction of about 90%.

What is the prediction accuracy of the AI model?

It can predict the contact shape between the tire and road surface with an average accuracy of 87.7% compared to FEM analysis.

When is this technology expected to be commercialized?

DUNLOP aims to start practical deployment in April 2027.

AI News NQ Analysis

DUNLOP and Fujitsu Achieve Approximately 90% Reduction in Time for AI-Powered Tire Structural Analysis in Proof-of-Concept

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Key facts

DUNLOP and Fujitsu Achieve Approximately 90% Reduction in Time for AI-Powered Tire Structural Analysis in Proof-of-Concept
Sumitomo Rubber Industries (DUNLOP) and Fujitsu have jointly developed an AI surrogate model, achieving an approximately 90% reduction in analysis time (from 45 minutes to 5 minutes) for tire structural analysis in a proof-of-concept. They aim for commercial deployment by April 2027.
Source: PR TIMES
Date: Thu Jun 04 2026 00:37:42 GMT+0900 (Japan Standard Time)

Direct answer

Sumitomo Rubber Industries (DUNLOP) and Fujitsu have jointly developed an AI surrogate model, achieving an approximately 90% reduction in analysis time (from 45 minutes to 5 minutes) for tire structural analysis in a proof-of-concept. They aim for commercial deployment by April 2027.

Citation: DUNLOP and Fujitsu Achieve Approximately 90% Reduction in Time for AI-Powered Tire Structural Analysis in Proof-of-Concept (Thu Jun 04 2026 00:37:42 GMT+0900 (Japan Standard Time)), PR TIMES
Source: PR TIMES
Date: Thu Jun 04 2026 00:37:42 GMT+0900 (Japan Standard Time)

AI Summary (NQ-processed)

Sumitomo Rubber Industries (DUNLOP) and Fujitsu have jointly developed an AI surrogate model, achieving an approximately 90% reduction in analysis time (from 45 minutes to 5 minutes) for tire structural analysis in a proof-of-concept. They aim for commercial deployment by April 2027.

AI Analysis

Frequently Asked Questions

Q: How much was the analysis time reduced by this technology?: A: The analysis time was reduced from approximately 45 minutes to about 5 minutes, a reduction of about 90%.
Q: What is the prediction accuracy of the AI model?: A: It can predict the contact shape between the tire and road surface with an average accuracy of 87.7% compared to FEM analysis.
Q: When is this technology expected to be commercialized?: A: DUNLOP aims to start practical deployment in April 2027.