主 讲 人：Bj?rn W. Schuller教授
主 办 方：物理与信息工程学院
Bj?rn W. Schuller教授简介：
IEEE FELLOW，博士毕业于德国慕尼黑工业大学，德国奥格斯堡大学W3终身教授（德国最高教职），现任英国帝国理工学院Reader。长期致力于人工智能、音频识别、情感计算、机器学习的相关算法和应用研究。曾在国际著名学术期刊上发表论文100余篇，在国际知名学术会议上发表论文400余篇。并成功举办了十届INTERSPEECH Computational Paralinguistics Challenge。担任大会主席：IEEE ACII 2019, IEEE ACII Asia 2018, ACM ICMI 2014
Artificial Intelligence has recently gained tremendously both in performance and popularity owing to a large extent to the advances in Deep Learning and exploitation of increasingly Big Data. This has opened up new opportunities in the domain of human-centred A.I. The idea of the latter is to enable next-generation intelligent systems to considerably better understand humans, such as by the inclusion of socioemotional artificial intelligence. In this respect, recent advances in modelling and profiling of users by deep learning will be presented including benchmarks and findings from several challenge events organised by the presenter at leading outlets in the field. At the same time, ensuring better understanding of A.I. by humans is crucial for the acceptance and optimal usage and exploitation of A.I. by humans. Along these lines, increasde of transparency and “white-boxing“ in deep learning frameworks will be discussed. Finally, deep learning empowered computational creativity will be touched upon as third component of human-centered A.I. before showing opportunities in terms of application domains. The talk will be concluded by a presentation of current challenges in the field.