5月5日下午17点，由人力资源部教师发展中心主办、信息与通信工程学院承办的“名师讲堂”邀请到IEEE Fellow、伦敦国王学院教授Osvaldo Simeone，作主题为“Engineering Reliable and Efficient AI with Applications to Communications”的线上精彩报告。本次学术交流活动由信息与通信工程学院胡杰研究员主持。

目前，人工智能（AI）及机器学习在工程中的角色越来越重要。在通信领域，下一代无线系统的设计将把AI用于协议栈的所有层中。通常来说，用于许多工程问题中的AI模块都应具有校准良好、样本高效的特性，另外，AI的实现也需要提升硬件效率，即激励AI在移动/边缘设备上的应用。基于以上论述，在本次演讲中，Simeone教授将重点介绍工程中人工智能模块的三个关键特性：校准、样本效率和硬件效率。校准描述了人工智能模块为其决策提供可靠置信度测量的能力；样本效率量化了数据集大小要求；硬件效率指的是硬件实现的复杂性。为此，Simeone教授将贝叶斯元学习作为校准良好且样本高效的人工智能的一般框架，并在讲座中带领听者一同回顾其相关结果和开放的研究方向。Simeone教授还介绍了一种新兴的硬件高效计算技术——神经形态计算，最后讨论了量子人工智能在概率机器学习中的潜在用途。

在交流环节中，Osvaldo Simeone教授与师生进行了交流讨论，师生们踊跃提问，收获颇丰。

本次名师讲堂由人力资源部教师发展中心主办，信息与通信工程学院承办。

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Osvaldo Simeone is a Professor of Information Engineering with the Centre for Telecommunications Research at the Department of Engineering of King's College London, where he directs the King's Communications, Learning and Information Processing lab. He received an M.Sc. degree (with honors) and a Ph.D. degree in information engineering from Politecnico di Milano, Milan, Italy, in 2001 and 2005, respectively. From 2006 to 2017, he was a faculty member of the Electrical and Computer Engineering (ECE) Department at New Jersey Institute of Technology (NJIT), where he was affiliated with the Center for Wireless Information Processing (CWiP). His research interests include information theory, machine learning, wireless communications, and neuromorphic computing. Dr Simeone is a co-recipient of the IEEE Vehicular Technology Society 2021 Jack Neubauer Memorial Award, 2019 IEEE Communication Society Best Tutorial Paper Award, the 2018 IEEE Signal Processing Best Paper Award, the 2017 JCN Best Paper Award, the 2015 IEEE Communication Society Best Tutorial Paper Award and of the Best Paper Awards of IEEE SPAWC 2007 and IEEE WRECOM 2007. He was awarded a Consolidator grant by the European Research Council (ERC) in 2016. His research has been supported by the U.S. NSF, the ERC, the Vienna Science and Technology Fund, as well as by a number of industrial collaborations. He currently serves in the editorial board of the IEEE Signal Processing Magazine and is the chair of the Signal Processing for Communications and Networking Technical Committee of the IEEE Signal Processing Society. He was a Distinguished Lecturer of the IEEE Information Theory Society in 2017 and 2018, and he is currently a Distinguished Lecturer of the IEEE Communications Society. Dr Simeone is a co-author of a textbook (to be published by Cambridge University Press), two monographs, two edited books, and more than 160 research journal papers. He is a Fellow of the IET and of the IEEE.