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Hyundai Motor Group Launches IFAT to Strengthen R&D on Future Car Technologies
Focus on Fundamental Technologies
Hyundai Motor Group Launches IFAT to Strengthen R&D on Future Car Technologies
  • By Michael Herh
  • September 16, 2019, 11:44
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Hyundai Motor Group has launched the Institute of Fundamental & Advanced Technology to secure original technologies for future cars.

Hyundai Motor Group launched the Institute of Fundamental & Advanced Technology (IFAT) in Uiwang, Gyeonggi Province, last week to focus on innovative technologies for future cars.

The new institute has put together fundamental technology R&D functions of the Central Research Institute. It is designed to upgrade the group’s competitiveness in fundamental technology and help it lead the future car market.

The research center consists of two labs and five subordinated research teams, focusing on eco-friendly energy and advanced materials.

Three teams are studying in the field of green energy. The Future Energy Research Team zeroes in on next-generation energy storage and conversion technologies. The Catalyst Research Team studies the virtual material design and analysis using big data, eco-friendly catalyst technologies and chemical materials. Finally, the Environmental Technology Research Team explores hydrogen energy.

In the field of future high-tech materials, the research center has two teams.

The Convergence Materials Research Team studies future mobility materials such as the Internet of Things (IoT) and healthcare and 3D printing while the Electronic Device Research Team focuses on nano sensors used in automotive semiconductor technology and high-performance devices.

Earlier, Hyundai Motor Group hired a number of talented engineers to secure AI technology which holds the key to the development of future and autonomous vehicles. It secured excellent research personnel through regular recruitment in eight fields related to artificial intelligence including voice user experience, AI platforms, voice recognition, image recognition, natural language processing, data engineering, AI mobility, and AI trend analysis.