11月29日晚19：30我院特聘教授Stephen H.Muggleton院士作题为“Are AI's key challenges solved?”的学术讲座。
讲座摘要：
Generative Pre-trained Transformer models (GPT) are a form of Large-Language model which has recently attracted wide-scale interest based on general open-ended query-answering. In this talk I will look at remaining challenges for the field of Artificial Intelligence. In particular, I will argue that although widely available systems, such as ChatGPT, partially address Alan Turing's Imitation Game [1950 paper in the Journal Mind] (now called the Turing Test) they fall short of the Supercriticality Challenge which Turing provided within the same paper. While Turing's paper initiated modern discussions on these topics, it was John McCarthy [1956] who named the field Artificial Intelligence. In a 2006 keynote speech at the Inductive Logic Programming conference, McCarthy introduced a Discovery Challenge which is closely related to Turing's Supercriticality. I will exemplify a range of human discoveries in Science, Engineering and Mathematics, and argue that neither Turing's nor McCarthy's challenges are addressed by existing GPT techniques. By contrast, to enable progress on Discovery Systems, further work is required on development of methods for identifying and explaining rare phenomena. Some initial work and directions for further studies will be described.
报告人介绍：
Stephen H.Muggleton，男，1959年12月生，教授，博士生导师，菠菜担保平台特聘教授，英国皇家工程院院士，英国皇家工程院机器学习研究主席，帝国理]学院计算机系计算生物信息实验室主任，先正达系统生物学创新研究中心主任，帝国理工学院系统与合成生物学研究所管理委员会委员，国际人工智能学会(MLS)理事会成员，主要从事机器学习与人工智能研究，是符号主义人工智能与机器学习的领军人物之一，开创了归纳逻辑程序设计 (lnductivelogic Programming)领域，并将机器学习成功应用于系统与合成生物学并取得开创性成果，在《自然》等顶级国际期刊和会议发表论文共二百余篇，据谷歌学术统计，论著被引用1万9千余次，H指数73，入选国际人工智能学会(AAAI)、英国计算机学会(BCS) 、国际工程技术学会(ET)、英国皇家生物学会(RSB)以及欧洲人工智能学会(EurAl)等学会会士。
