๐ŸŽขAI ๊ธฐ๋ฐ˜ ์„ค๊ณ„ ์—ฐ๊ตฌ ๋™ํ–ฅ

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์ธ๊ณต์ง€๋Šฅ(AI)์ด ๊ณตํ•™ ์„ค๊ณ„์˜ ํŒจ๋Ÿฌ๋‹ค์ž„์„ ๋ฐ”๊พธ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. AI๋Š” ๋‹จ์ˆœ ์ž๋™ํ™”๋ฅผ ๋„˜์–ด ์ฃผ๋„์ ์œผ๋กœ ์˜์‚ฌ๊ฒฐ์ •์„ ๋‚ด๋ฆฌ๊ณ , ์„ค๊ณ„์— ์œ ์˜๋ฏธํ•œ ์ธ์‚ฌ์ดํŠธ๋ฅผ ์ œ๊ณตํ•˜๋Š” โ€˜AI ์—์ด์ „ํŠธโ€™๋กœ ์ง„ํ™”ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ณ€ํ™” ์†์—์„œ, โ€˜AI ๊ธฐ๋ฐ˜ ์„ค๊ณ„ ์—ฐ๊ตฌ ๋™ํ–ฅโ€™ ๊ฐ•์˜๋Š” ๋ฐ์ดํ„ฐ ์ค‘์‹ฌ ์‚ฌ๊ณ ์™€ AI ๊ธฐ์ˆ ์ด ์„ค๊ณ„ ๊ณผ์ •์— ์–ด๋–ป๊ฒŒ ์œตํ•ฉ๋  ์ˆ˜ ์žˆ๋Š”์ง€ ์‚ดํŽด๋ด…๋‹ˆ๋‹ค.

Artificial Intelligence (AI) is transforming the paradigm of engineering design. Evolving beyond simple automation, AI is becoming a proactive decision-maker and a provider of valuable insights in the design processโ€”as an "AI agent." In response to these changes, the "Trends in AI-Based Design Research" course explores how data-driven thinking and AI technologies can be integrated into the design process.

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