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Korean AI Association

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±¹³»Çмú´ëȸ

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2024 (»ç)Çѱ¹ÀΰøÁö´ÉÇÐȸ Ãß°èÇмú´ëȸ ÇÁ·Î±×·¥(»ï¼ºSDSŸ¿ö ¼­°ü ÁöÇÏ1Ãþ, ¿Â¿ÀÇÁ µ¿½ÃÁøÇà)             
11¿ù 21ÀÏ(¸ñ)
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µî·Ï 11:00-13:00 µî·Ï<ÁöÇÏ 1Ãþ ¸¶Á©¶õȦ µî·Ï´ë>
Æ©Å丮¾ó ¼¼¼Ç 1 13:00-15:00 Developing a Medical LLM using synthetic medical record
/ ÃÖÀ±Àç ±³¼ö(KAIST)<¸¶Á©¶õȦ>
Recent Trends in Deepfake Image and Video Detection
/ ÃÖÁ¾¿ø ±³¼ö(Áß¾Ó´ëÇб³)<ÆĽºÄ®È¦>
ÈÞ½Ä 15:00-15:20 ÈÞ½Ä
Æ©Å丮¾ó ¼¼¼Ç 2 15:20-17:20    Multimodal Data Curation for Commonsense Reasoning: From Web, Simulation to Real-World Applications
/ À¯¿µÀç ±³¼ö(¿¬¼¼´ëÇб³)<¸¶Á©¶õȦ>
Generative AI for Healthcare
/ ¿¹Á¾Ã¶ ±³¼ö(KAIST)<ÆĽºÄ®È¦>
 11¿ù 22ÀÏ(±Ý) 
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µî·Ï 08:30-09:00 µî·Ï<ÁöÇÏ 1Ãþ ¸¶Á©¶õȦ µî·Ï´ë>
°³È¸¼±¾ð 09:00-09:10 °³È¸¼±¾ð/ ±è¿ë´ë ȸÀå
Ãà»ç/ ±èÇý¿µ »ó¹«(»ï¼ºSDS)<¸¶Á©¶õȦ>
Plenary Talk 1 09:10-10:00 Deep Learning and Foundation Models: Theoretical Insights and Label-Efficient Learning
/ Prof. Robert D. Nowak(University of Wisconsin-Madison)_¿Â¶óÀÎ ÁøÇà<¸¶Á©¶õȦ>
Plenary Talk 2 10:00-10:50 Harnessing AI for Bayesian Inference: From Neural Conformal Inference to Neural Adaptive Empirical Bayes 
/ Prof. Xiao Wang(Purdue University)_¿Â¶óÀÎ ÁøÇà<¸¶Á©¶õȦ>
ÈÞ½Ä 10:50-11:00 ÈÞ½Ä
½Ã»ó½Ä 11:00-11:30 ÇÐȸ ¿ì¼ö³í¹® ½Ã»ó, ÇÑÈ­½Ã½ºÅÛ AI Challenge ½Ã»ó<¸¶Á©¶õȦ>
Æ÷½ºÅÍ ¼¼¼Ç 11:30-12:00 Æ÷½ºÅÍ ¹ßÇ¥<ÁöÇÏ 1Ãþ ·Îºñ>
Áᫎ 12:00-13:00 Áß½Ä, Á¤±â ÀÌ»çȸ(´ë»ó: ÇÐȸ ÀÓ¿ø)<ÁöÇÏ 1Ãþ, 2Ãþ ½Ä´ç>
³í¹®¹ßÇ¥ ¼¼¼Ç 13:00-13:30 ¿ì¼ö³í¹® ¹ßÇ¥<¸¶Á©¶õȦ>
ÃÊû°­¿¬ 13:30-14:00 Áö´ÉÇü ¾÷¹« Çù¾÷ ¼Ö·ç¼Ç (Brity Works + Copilot)/ ⼺Áß »ó¹«(»ï¼ºSDS)<¸¶Á©¶õȦ>
ÈÞ½Ä 14:00-14:10 ÈÞ½Ä
±âȹ¼¼¼Ç 1 14:10-15:10 Foundation models for multimodal and time-series data <¸¶Á©¶õȦ> ÇÑÈ­½Ã½ºÅÛ Æ¯º°¼¼¼Ç<ÆĽºÄ®È¦>
ÈÞ½Ä 15:10-15:20 ÈÞ½Ä
±âȹ¼¼¼Ç 2 15:20-16:20 ±¹Á¦ÇÐȸ ¿ì¼ö³í¹®¹ßÇ¥¼¼¼Ç<¸¶Á©¶õȦ> ¼­¿ï AI Çãºê: ±â¾÷ÀÇ AI Çõ½Å »ç·Ê¿Í ±â¼úÀû ÁøÈ­<ÆĽºÄ®È¦>
ÈÞ½Ä 16:20-16:30 ÈÞ½Ä
±âȹ¼¼¼Ç 3 16:30-17:30 »ý¼º ¸ðÇü (Generative Model)<¸¶Á©¶õȦ> AI À§Çù°ú ´ëÀÀ<ÆĽºÄ®È¦>
ÈÞ½Ä 17:30-17:40 ÈÞ½Ä
¸¸Âù 17:40 ¸¸Âù <ÁöÇÏ 2Ãþ ´Ù¸ñÀûȦ>
11¿ù 23ÀÏ(Åä) Private Session_³»ºÎ ¿öÅ©¼ó
 
* Plenary Talk 3 ¿¬»çÀÇ °³ÀÎ »çÁ¤À¸·Î ¹ßÇ¥°¡ Ãë¼ÒµÇ¾úÀ½À» ¾Ë·Áµå¸³´Ï´Ù. ¾çÇظ¦ ºÎŹµå¸³´Ï´Ù.