Kospo-Dacon Hosts AI-Based Biometric Data Analysis Competition

[Asia Economy Reporter Kim Cheol-hyun] Korea Startup Forum (hereinafter referred to as Kospo) announced on the 14th that it will hold the 'Biological Optical Data Analysis Competition' in collaboration with data science platform company Dacon.

This competition will be conducted by soliciting AI algorithm development ideas using virtual biological optical data provided by Dacon. The AI analysis algorithms developed by participants will be ranked based on simulated data analysis and performance comparison.

The competition will be held online through the AI competition platform from the 15th to the 26th of next month, and anyone interested in AI and biological optical data, including the general public, students, and companies, can participate. A total prize of 3.6 million KRW is at stake, and 10 teams that derive excellent diagnostic algorithms using biological optical data will be selected and awarded prizes.

This competition, planned to discover excellent algorithms in the bio field using AI, started from the idea that body composition analysis is possible without skin wounds by capturing light transmitted through the body. Kospo and Dacon plan to join forces to promote the growth of the AI industry ecosystem by enhancing the data analysis utilization capabilities of small and medium-sized enterprises and startups through mutual cooperation, as well as discovering excellent algorithms and talents, starting with this competition.

Choi Sung-jin, CEO of Kospo, said, "As AI emerges as a national strategy, we will expand cooperation with various stakeholders in industry, academia, and research to discover and promote the use of high-quality data," adding, "We hope that excellent cases of AI technology utilization will be discovered through this competition." Kim Guk-jin, CEO of Dacon, said, "The method of body composition analysis without skin wounds is evaluated as a safe and promising technology," and added, "We hope that algorithms that accurately predict body composition using optical data will emerge through this competition."

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