報(bào)告題目：Build AI systems that can learn not only from data but also from knowledge

構(gòu)建不但能從數(shù)據(jù)并且也能從知識(shí)中學(xué)習(xí)的人工智能系統(tǒng)

報(bào)告人：宮雷光

報(bào)告時(shí)間：2018-05-09 10:00

報(bào)告地點(diǎn)：經(jīng)管學(xué)院207

報(bào)告人簡(jiǎn)介：從事計(jì)算機(jī)科學(xué)技術(shù)研究及高等教育工作40余年。曾先后任吉林大學(xué)計(jì)算機(jī)科學(xué)系助教、講師；美國(guó)Rutgers大學(xué)計(jì)算機(jī)科學(xué)系博士研 究生、助理研究員、博士后研究員和助理教授；美國(guó)朗訊公司貝爾（Bell）實(shí)驗(yàn)室資深研究員，美國(guó)IBM-Watson研究中心資深研究員，吉林大學(xué)客座教授、兼職教授、博士導(dǎo)師，煙臺(tái)威茲曼智能信 息技術(shù)有限公司首席顧問(wèn)。

主要研究領(lǐng)域:知識(shí)表達(dá)及系統(tǒng)、語(yǔ)義建模、模式識(shí)別及圖像分析、數(shù)據(jù)分析、智 能物聯(lián)網(wǎng)和醫(yī)學(xué)信息學(xué)及應(yīng)用。

報(bào)告摘要：For the last seven or eight years, Big data and AI are two hottest areas of researchand business development. With the availability of massive diversified data and high performance computers, the main school of AI researchers are mostly focusing on deep learning that learn, from data, classifiers and predictors for various speech recognition and computer vision applications. Interestingly enough, an area, once for many years, at the center of AI research known as knowledge representation and knowledge systems has been taking a back seat, though some serious efforts in the field have just begun to make significant impact during the last few years. In this presentation, I will talk about knowledge, data and their interplay, followed by a discussion of some recent research efforts in developing AI knowledge systems that can also learn from knowledge.

信息管理與電子商務(wù)研究所