Aimin PAN, a senior research expert in Zhejiang Lab, has dedicated to software technologies for more than twenty-five years. He had taught in Peking University since 1994 for ten years, and wrote and translated several classical books. Then he worked in several companies in China, and led to develop two mobile operating systems – Shanda VisionOS and Ali YunOS. In 2018, Aimin Pan started up a company (named Hangzhou Instruction Set) to develop a novel IoT operating system. In December 2021, he joined Zhejiang Lab as the chief architect of the intelligent computing data reactor. Aimin Pan received his bachelor degree in mathematics at Nankai University in 1991 and a Ph.D in computer science at Peking University in 2003. His interests include operating systems, information security, and fundamental software for infrastructures in cyber space.

　　Mike Davies received the B.S. and M.S. degrees from the California Institute of Technology (Caltech), Pasadena, CA, USA. He was a founding employee of Fulcrum Microsystems, Calabasas, CA, USA, and the Director of its Silicon Engineering Group before Intel's acquisition of Fulcrum in 2011. Mike is currently the Director of Intel's Neuromorphic Computing Lab where he is responsible for the development of Intel's Loihi research chips. 　　

　　Masashi Sugiyama received a Ph.D. degree in Computer Science from Tokyo Institute of Technology, Japan, in 2001. After experiencing assistant and associate professors at the same institute, he became a professor at the University of Tokyo in 2014. Since 2016, he has concurrently served as Director of the RIKEN Center for Advanced Intelligence Project. His research interests include theories and algorithms of machine learning, in particular, transfer learning, density ratio estimation, weakly supervised learning, and noisy label learning.

　　Professor Huaqiang Wu is currently the dean of School of Integrated Circuits of Tsinghua University, the director of Nanofabrication Technology Center of Tsinghua University, and the deputy director of Beijing Innovation Center for Integrated Circuits. Before joining Tsinghua University, he was engaged in the research and development of nonvolatile memory in AMD company and Spansion company. His main research field is new type of semiconductor memory and computing in memory. He has been responsible for many projects such as NSFC, 863 program and 973 program. He has published more than 100 SCI papers in journals, such as Nature, Nature Electronics, and top international conferences on integrated circuits, such as ISSCC and IEDM, and was elected to be one of the top 100,000 scientists in the world. He has owned more than 100 authorized invention patents in U.S. and China, herein four patents being transferred to Beijing Xinyi Technology Co., LTD., 10 patents being transferred to Xiamen Semiconductor Industry Technology Development Co., LTD., realizing the industrialization of the resistance changing memory technology. He is the committee member of the 8th Science and Technology Commission of the Ministry of Education, director of China Instrument and Control Society, associate editor of IEEE TCAS-II, and the member of IEEE EDS VLSI Technical Committee. He was selected into the National Science Fund for Distinguished Young Scholars and won the first "XPLORER PRIZE" in 2019.

　　Schahram Dustdar is Full Professor of Computer Science heading the Research Division of Distributed Systems at the TU Wien, Austria. He holds several honorary positions: Francqui Chair Professor at University of Namur, Belgium (2021-2022), University of California (USC) Los Angeles; Monash University in Melbourne, Shanghai University, Macquarie University in Sydney, University Pompeu Fabra, Barcelona, Spain. From 1999 - 2007 he worked as the co-founder and chief scientist of Caramba Labs Software AG in Vienna.He is founding co-Editor-in-Chief of ACM Transactions on Internet of Things (ACM TIoT) as well as Editor-in-Chief of Computing (Springer). He is an Associate Editor of IEEE Transactions on Services Computing, IEEE Transactions on Cloud Computing, ACM Computing Surveys, ACM Transactions on the Web, and ACM Transactions on Internet Technology, as well as on the editorial board of IEEE Internet Computing and IEEE Computer. Dustdar is recipient of multiple awards: TCI Distinguished Service Award (2021), IEEE TCSVC Outstanding Leadership Award (2018), IEEE TCSC Award for Excellence in Scalable Computing (2019), ACM Distinguished Scientist (2009), ACM Distinguished Speaker (2021), IBM Faculty Award (2012). He is an elected member of the Academia Europaea: The Academy of Europe, where he is chairman of the Informatics Section, as well as an IEEE Fellow (2016), an Asia-Pacific Artificial Intelligence Association (AAIA) President (2021) and Fellow (2021). He is an EAI Fellow (2021) and an I2CICC Fellow (2021). He is a Member of the 2022 IEEE Computer Society Fellow Evaluating Committee (2022).

　　Davide Scaramuzza is a Professor of Robotics and Perception at the University of Zurich, where he does research at the intersection of robotics, computer vision, and machine learning. His goal is to enable autonomous, agile navigation of micro drones using both standard and neuromorphic event-based cameras. He pioneered autonomous, vision-based navigation of drones, which inspired the navigation algorithm of the NASA Mars helicopter. He has served as a consultant for the United Nations on topics such as disaster response and disarmament, as well as the Fukushima Action Plan on Nuclear Safety. He won many prestigious awards for his research contributions, such as a European-Research-Council Consolidator grant, the IEEE Robotics and Automation Society Early Career Award, an SNF-ERC Starting Grant, a Google Research Award, a Facebook Distinguished Faculty Research Award, two NASA TechBrief Awards, and several paper awards. In 2015, he co-founded Zurich-Eye, today Facebook Zurich, which developed the world-leading virtual-reality headset, Oculus Quest, which sold over 10 million units. Many aspects of his research have been prominently featured in broader media, such as The New York Times, The Economist, Forbes, BBC News, and Discovery Channel.

　　Dr. Lu Fang is currently an Associate Professor in Dept. of Electronic Engineering, Tsinghua University. She received Ph.D from Hong Kong Univ. of Science and Technology in 2011, and B.E. from Univ. of Science and Technology of China in 2007. Her research interests include visual intelliegnce and neuromorphic computing. She was awarded NSFC Distinguished Young Scholar, MIT TR35 Innovators (China), Multimedia Rising Star Award in ICME 2019, Best Student Paper Award in ICME 2017 etc. Dr. Fang is IEEE Senior Member, and serves as Associate Editor for Optica and IEEE TIP.

　　Michael Wooldridge is a Professor of Computer Science and Head of Department of Computer Science at the University of Oxford, and a programme director for AI at the Alan Turing Institute. He has been an AI researcher for more than 30 years, and has published more than 400 scientific articles on the subject, including nine books. He is a Fellow of the Association for Computing Machinery (ACM), the Association for the Advancement of AI (AAAI), and the European Association for AI (EurAI). From 2014-16, he was President of the European Association for AI, and from 2015-17 he was President of the International Joint Conference on AI (IJCAI). He was a recipient of the Lovelace medal from the British Computer Society in 2020 – the premier computing award in the UK – and received the Outstanding Educator Award from the Association for Advancement of AI (AAAI) in 2021. He has published two popular science introductions to AI: The Ladybird Expert Guide to AI (2018), and The Road to Conscious Machines (Pelican, 2020).

　　Haibo Chen is a Distinguished Professor of Shanghai Jiao Tong University, where he founded and directed the Institute for Parallel and Distributed Systems (IPADS). His main research areas are operating systems and distributed systems and its interaction with formal methods. He has won the First Prize of Technical Invention by the Ministry of Education, China Youth Science and Technology Award, President's Award of Shanghai Jiao Tong University, CCF Young Scientist Award, National Excellent Doctoral Dissertation Award of China, etc. He is currently the Chair of ACM SIGOPS ChinaSys, the Vice Chair of the Special Committee on System Software of the China Computer Federation, serves as the editorial board member for contributed articles and as the co-chair of Special Sections of Communications of the ACM, and the editorial board member of ACM Transactions on Storage. He has received Best Paper Awards from ASPLOS, EuroSys, VEE, ICPP and APSys, the Test of Time Award of IEEE DSN, and the ACM Dennis M. Ritchie Thesis Award (Advisor).

　　Dr. Di Li is an observer and instrumentalist. He was trained in nuclear physics and observational astronomy. He established a novel technique to solve the temperature distribution of interstellar dust, (co- )discovered interstellar oxygen as well as other molecules, developed and named the HI-narrow selfabsorption (HINSA) technique, which recently enabled the first HINSA Zeeman measurement that was published as an Nature cover article. He led the science definition efforts during the commissioning phase of FAST, which resulted in its first pulsar, FRB discoveries, and one of the top 10 scientific achievements in China in 2021. He served in advisory roles in various collaborations/organizations, such as the SKA, ATNF, Breakthrough Listen, etc.

　　Yinhe Han, professor at Institute of Computing Technology, Chinese Academy of Sciences, and director of the Center for Intelligent Computing systems. His main research interests are domain-specific processor and intelligent computing system. In these research fields, he has published 100 papers, and won the second prize of National Technological Invention Award in 2012. He is currently the director of the Fault Tolerance Committee of the China Computer Federation. His work is supported by the National Science Fund for Distinguished Young Scholars. 　　

　　Genquan Han is a Professor at Xidian University, China. Prof. Han received his B.S. degree in the Department of Materials Science and Engineering from Tsinghua University, Beijing, China, in 2003, and his Ph.D. degree in the Institute of Semiconductors, Chinese Academy of Sciences in 2008. From 2008 to 2013, he was a Research Fellow at the National University of Singapore. From 2013 to 2015, he was a professor at Chongqing University, China. In 2015, he joined Xidian University, China, as a professor. His research interests include high mobility MOSFET, ferroelectric transistor logic and memory devices, and Ga2O3 wide bandgap material and devices. He has published more than 200 technical papers and 30 granted/pending patents. He is the editor of IEEE Electron Device Letters.

　　Michael Lee is the Editor of Science Robotics. Prior to joining Science Robotics, Michael was a co-founding editor of Nature Electronics. He started his editorial career at Nature Communications as an associate editor handling applied physics and engineering research. Before becoming an editor Michael conducted research at the Paul Scherrer Institute (Switzerland) and University of Oxford (UK).

　　Marco Dorigo received the Ph.D. degree in electronic engineering in 1992 from Politecnico di Milano, Milan, Italy. From 1992 to 1993, he was a Research Fellow at the International Computer Science Institute, Berkeley, CA. In 1993, he was a NATO-CNR Fellow, and from 1994 to 1996, a Marie Curie Fellow. Since 1996, he has been a tenured Researcher of the FNRS, the Belgian National Funds for Scientific Research, and co-director of IRIDIA, the artificial intelligence laboratory of the ULB. His current research interests include swarm intelligence, swarm robotics, and metaheuristics for discrete optimization. He is the Editor-in-Chief of Swarm Intelligence, and an Associate Editor or member of the Editorial Boards of many journals on computational intelligence and adaptive systems. Dr. Dorigo is a Fellow of the AAAI, EurAI, and IEEE. He was awarded the Italian Prize for Artificial Intelligence in 1996, the Marie Curie Excellence Award in 2003, the Dr. A. De Leeuw-Damry-Bourlart award in applied sciences in 2005, the Cajastur International Prize for Soft Computing in 2007, an ERC Advanced Grant in 2010, the IEEE Frank Rosenblatt Award in 2015, and the IEEE Evolutionary Computation Pioneer Award, awarded in 2016.

　　Guido de Croon received his M.Sc. and Ph.D. in the field of Artificial Intelligence (AI) at Maastricht University, the Netherlands. His research interest lies with computationally efficient, bio-inspired algorithms for robot autonomy, with an emphasis on computer vision. Since 2008 he has worked on algorithms for achieving autonomous flight with small and light-weight flying robots, such as the DelFly flapping wing MAV. In 2011-2012, he was a research fellow in the Advanced Concepts Team of the European Space Agency, where he studied topics such as optical-flow-based control algorithms for extra-terrestrial landing scenarios. After his return at TU Delft, his work has included fully autonomous flight of a 20-gram DelFly, a new theory on active distance perception with optical flow, and a swarm of tiny drones able to explore unknown environments. Currently, he is Full Professor at TU Delft and scientific lead of the Micro Air Vehicle lab (MAVLab) of Delft University of Technology.