With automobile industry is changing rapidly with CASE (connected, autonomous, shared, electric) and other new technological trends, Toyoda Gosei of Japan seeks to achieve greater value add for its products with the integration of sensors and other electronics components into the plastic and rubber parts that are its core technologies.
As such, the development of high functional materials that can accommodate electronics technology is an urgent task.
With this in mind, Toyoda Gosei yesterday announced its ¥50 million investment into TRYETING for the rapid development of materials using artificial intelligence (AI).
TRYETING is a start-up out of Nagoya University and provides an AI platform that integrates various types of software. One of the strengths of the company is materials informatics, a field that applies the techniques of informatics, such as AI and big data, to materials. This approach can significantly speed the development of new materials.
With this investment, Toyoda Gosei will combine TRYETING’s AI technology with the knowledge in materials design it has built up over many years.
The ability to quickly simulate large numbers of material compounding patterns will accelerate the development of materials with superior functionality, such as new materials for LiDAR (Light Detection and Ranging) and other sensors. LiDAR is a sensing method that measures distance and direction by the time it takes emitted infrared laser light to reflect off of an object and return.
