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報(bào)告題目：Advances in Artificial Intelligence
報(bào)告人：任育卓 美國NVIDIA公司高級(jí)軟件工程師
報(bào)告時(shí)間：2023年5月18日13:30-15:30
報(bào)告地點(diǎn)：北辰校區(qū)電信學(xué)院（西教二）407會(huì)議室
報(bào)告摘要：
Artificial intelligence has become one of the fastest growing fields in the last decade. There has been a rapid development of artificial intelligence applications in different fields. Artificial intelligence plays a crucial role in our daily life. Particularly deep learning networks enable learning models from a large amount of training data. In this talk, various deep learning applications will be introduced, which includes deep learning applications in scene understanding, security, health care, autonomous driving, etc. Future research trends will also be discussed.
人工智能在過去幾十年成為了發(fā)展最快的領(lǐng)域之一。人工智能的應(yīng)用在不同領(lǐng)域有快速的發(fā)展。人工智能在我們每天的生活中發(fā)揮重要的角色。尤其是深度學(xué)習(xí)網(wǎng)絡(luò)使得從大規(guī)模訓(xùn)練數(shù)據(jù)訓(xùn)練模型成為可能。在這次演講中，會(huì)介紹各種深度學(xué)習(xí)的應(yīng)用，包括深度學(xué)習(xí)在場(chǎng)景理解，安全，健康醫(yī)療，自動(dòng)駕駛等的應(yīng)用。未來研究趨勢(shì)也會(huì)得到討論。
報(bào)告人簡(jiǎn)介：
Dr. Yuzhuo Ren received her Ph.D. degree in Electrical Engineering from the University of Southern California (USC) in 2017. She received her B.S. degree in Communication Engineering at Hebei University of Technology in 2011. She is now with NVIDIA as senior software engineer at autonomous vehicle software team. Her research interests are in machine learning, deep learning and computer vision. She has authored and co-authored 15 papers in ICASSP, PAMI, JVCIR, etc. She has filed 20 patents in United States, China, Japan and Germany. She serves as reviewer for ICASSP (2018-2023), ICIP (2019-2023), APSIPA Trans. on Signal and Information Processing (2022-2023).
任育卓于2017年取得美國南加州大學(xué)EE專業(yè)博士學(xué)位。她于2011年取得河北工業(yè)大學(xué)通信工程專業(yè)學(xué)士學(xué)位。現(xiàn)任美國英偉達(dá)公司自動(dòng)駕駛部門高級(jí)軟件工程師。她的研究方向是機(jī)器學(xué)習(xí)、深度學(xué)習(xí)和計(jì)算機(jī)視覺。她在ICASSP、PAMI、JVCIR 等國際會(huì)議和期刊上發(fā)表論文15篇，并在美國、中國、日本、德國申請(qǐng)專利20項(xiàng)。她擔(dān)任ICASSP (2018-2023) 會(huì)議、ICIP (2019-2023)會(huì)議和APSIPA Trans. on Signal and Information Processing (2022-2023) 期刊的審稿專家。
