报告题目: Integrated circuit design for deep learning and AI applications报 告 人：Maciej Jerzy Ogorzalek, Jagiellonian University, Poland报告时间：2021年3月10日报告地点：线上报告 Abstract: Integrated circuits are omnipresent. We not only use mobile phones, personal computers but we are surrounded by systems whose operation highly depends on advances sensors, processing systems, controllers etc...

报告题目：Dealing with concept drift in stream data mining报 告 人：Leszek Rutkowski, Czestochowa University of Technology, Poland报告时间：2021年3月10日报告地点：线上报告Abstract: This lecture presents an overview of techniques to deal with concept drift in stream data mining, and moreover, describes original concepts developed by the author to solve classification and regression problems in a...

报告题目: Cognitive biases in human centric decision making and control报 告 人：Janusz Kacprzyk, 波兰科学院报告时间：2021年3月10日报告地点：线上报告 Abstract: We deal with the broadly perceived decision making and control in a human centric context, that is, when the human being is a key elements, and his/her judgments, assessments and evaluations play an important role. The solutions obtained...

报告题目: Searching for fingerprints of brain activity报 告 人：Włodzisław Duch, Nicolaus Copernicus University, Poland报告时间：2021年3月10日报告地点：线上报告 Abstract: In recent years great progress in methods of brain activity measurement, analysis of neuroimaging and electrophysiological data enabled understanding of some brain processes. Identifying patterns of EEG/MEG, ECoG or fMRI sig...

报告题目: Modelling the magnetic and magneto-mechanical properties of materials for bio-medical and mechatronics applications报 告 人：Roman Szewczyk, Warsaw University of Technology, Poland报告时间：2021年3月10日报告地点：线上报告 Abstract: This talk will introduce approaches to modelling the magnetic and magneto-mechanical properties of materials for bio-medical and mechatronics applicationsB...

2020年国际青年学者东湖论坛人工智能与自动化分论坛

报告题目：TOWARDS HUMAN-FRIENDLY EXPLAINABLE ARTIFICIAL INTELLIGENCE 报 告 人：Hani Hagras教授（University of Essex）报告时间：2020年12月20日18：00报告地点：线上报告Abstract: The recent advances in computing power coupled with the rapid increases in the quantity of available data has led to a resurgence in the theory and applications of Artificial Intelligence (AI). However, the use of complex ...

报告题目：TOWARDS HUMAN-FRIENDLY EXPLAINABLE ARTIFICIAL INTELLIGENCE 报 告 人：Hani Hagras教授（University of Essex）报告时间：2020年12月19日18：00报告地点：线上报告Abstract: The recent advances in computing power coupled with the rapid increases in the quantity of available data has led to a resurgence in the theory and applications of Artificial Intelligence (AI). However, the use of complex ...

报告题目：Intelligent Critical Infrastructure Systems  报 告 人：Marios M. Polycarpou教授（University of Cyprus）报告时间：2020年12月20日16：00报告地点：线上报告 Abstract: Critical infrastructures, such as electric power systems, water distribution networks, telecommunication networks, and transportation systems, provide the foundation on which communities are built and, when properly function...

报告题目：Intelligent Critical Infrastructure Systems  报 告 人：Marios M. Polycarpou教授（University of Cyprus）报告时间：2020年12月19日16：00报告地点：线上报告 Abstract: Critical infrastructures, such as electric power systems, water distribution networks, telecommunication networks, and transportation systems, provide the foundation on which communities are built and, when properly functioni...