Denso is developing rare earth-free motor magnets made of iron and nickel: electric system (page 1/2) - MONOist

　On November 18, 2021, Denso held a briefing for the media to introduce the efforts of the Advanced Technology Research Laboratories.

　The Advanced Technology Research Institute opened in March 1991 and will celebrate its 30th anniversary in 2021. He has worked on a variety of fields, including the semiconductor and electronics fields, as well as speech recognition technology. In 2020, we transferred advanced development in the semiconductor and electronics fields to Miraize Technologies, a joint venture with Toyota Motor Corporation, but we are aiming for practical application in the 2030s in fields such as AI (artificial intelligence) technology, materials, and software. We are responsible for research and development that creates 1 from

　At the briefing, we introduced AI technology that contributes to cockpits, smart cities, and smart factories, as well as material research that contributes to electrification.

In the AI ​​research area, in addition to hazard prediction and cooperation with others in automated driving systems and ADAS (advanced driver assistance systems), control incorporating the skills of experienced drivers, optimization of traffic and robot movements, driver We will proceed with research and development on themes such as AI that estimates the state of While utilizing state-of-the-art algorithms, we place importance on quality assurance of AI on the premise of in-vehicle use and proposals for optimal architecture for in-vehicle semiconductors.

　Various automakers and suppliers are developing emotion recognition technology to keep drivers in a state suitable for driving. Denso is developing a system that combines emotion recognition technology with scent and light actuation to calm the driver when he is irritated and wake him up when he is drowsy. Prevent traffic accidents by creating a relaxing or focused interior space.

　When recognizing emotions that are different from normal, such as irritation, facial expressions are digitized from facial data and classified into 7 types for detection. Currently, research and development is mainly focused on facial data in Japan, but the research base in the United States is also collecting facial expression data, etc., and has begun to analyze data regardless of race or skin color.

　In addition to emotion recognition based on facial data, they are also considering fusion with smart watches worn by drivers and sensors embedded in seats.

In the AI ​​research area, we are developing quantum computing technology with the aim of applying it to large-scale problems that cannot be solved with conventional computing technology. The vast amount of information obtained in the real world (physical space) is aggregated in cyberspace and processed at high speed to solve problems.

　Denso is working on a quantum-classical hybrid solver that takes advantage of the strengths of both classical and quantum computers. Currently, we are proceeding with preliminary verification of AGV transportation in factories, and will expand the area to large-scale delivery in the future. We will also proceed with black-box optimization for deploying quantum computing in other fields such as product design.

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