기초과학연구원 데이터사이언스그룹
Register here! Introduction Basic science research has been a pillar in improving human life quality and finding solutions to various global challenges. In finding solutions to these challenges, artificial intelligence (AI) has been a powerful tool. When applied to basic science research, AI can provide models that help us improve our current understanding of nature
This workshop, organized together with the AI+X forum at KAIST School of Computing, will present recent research on data science applied to large-scale datasets on healthcare, climate change, cultural analytics, econometrics, and computational biology. KAIST AI + X Forum on Meet the Data Scientists https://kaist.zoom.us/j/92330868763 10:00-12:00 (moderator: Sue Moon & Mia Cha) * Jisun An
Abstract: Neural language models have revolutionized how we model text data as well as a broad range of machine learning methods, even beyond methods for natural language processing. One of the first, simplest, and most widely used methods is the skip-gram negative sampling model, or simply word2vec, which allows us to obtain vector representations of