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開始日期:
2023年7月29日
專業(yè)方向:
計算機與人工智能,理工
導師:
Lara(加州大學洛杉磯分校 (UCLA) 終身正教授&學科主任)
課程周期:
7周在線小組科研學習+5周不限時論文指導學習
語言:
英文
建議學生年級:
大學生
項目產(chǎn)出:
7周在線小組科研學習+5周不限時論文指導學習 共125課時 項目報告 優(yōu)秀學員獲主導師Reference Letter EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等級別索引國際會議全文投遞與發(fā)表指導(可用于申請) 結業(yè)證書 成績單
項目介紹:
隨著數(shù)據(jù)密集型技術出現(xiàn),現(xiàn)代計算機系統(tǒng)對于數(shù)據(jù)存儲與傳輸系統(tǒng)的運行效率與可靠性的要求也隨之增長。在本項目中,教授將首先介紹現(xiàn)代數(shù)據(jù)存儲技術的數(shù)學基礎,其中包括糾刪碼等信道編碼技術及其在現(xiàn)實中的應用。而后教授將以云存儲系統(tǒng)為例帶領學生深入研究其中的算法理論與實操。學生將在項目結束時開發(fā)用于解決大規(guī)模AI計算的計算機算法,提交項目報告,進行成果展示。With the advent of data-intensive technologies, there has been an unprecedented need to store data reliably and efficiently. In this course, we will cover the mathematical foundations of modern data storage systems, including error correction and erasure coding, and we will demonstrate how have these powerful concepts been used with great success in practical systems. We will discuss fundamental algorithms as well as modern cloud storage systems. Students will have the opportunity to learn about the latest trends in large-scale computing for AI and will grow to appreciate the universality of channel coding methods across different technologies.