Mobility is one of the innate human abilities that are indispensable to our lives.

Mobility is currently undergoing a major digital transformation, with technological innovations such as 5G, AI, and IoT bringing about new mobility experiences, the construction of smart cities premised on smart mobility, and cross-sector initiatives for a sustainable society beginning to take place around the world.
With the introduction of new technologies such as automated driving and MaaS into society’s mobility, not only logistics efficiency, but also security measures for people without a car license and edge devices have become a top priority, partly against the backdrop of increasingly sophisticated and sophisticated threat actors and expanding attack surfaces.
Implementing security on edge devices that can counter the latest threats requires specialized skills and knowledge, although asking embedded engineers to do so may be too challenging.

There is also a growing need to integrate AI and ML (machine learning) capabilities into edge devices. However, the conventional wisdom has been that the microcontrollers in edge devices are too heavy to perform AI and ML-like processing.
Now that edge devices are required to meet high requirements for speed, security, low power consumption, and low cost, embedded engineers are facing many challenges.
However, did you know that recent technological innovations have led to the emergence of microcontrollers that have turned these requirements on their head?

Are you looking for cutting-edge technology that will revolutionize design and development in the automotive industry?
Learn about the latest microcontroller technologies that overcome the challenges faced by embedded engineers and bring new intelligence to edge devices.
AI capabilities and cloud CAE technology are revolutionizing the development process in the automotive industry.

In particular, there are examples of applications in the cloud environment for AI functions (surrogate models), a new technology that is attracting a lot of attention. There are examples of reduced development speed, reduced costs, and improved performance.
Get practical insights to help you innovate in automotive development and find out more about how we are transforming the automotive industry.