Reporter:Hong Kong Bet365 of Science and TechnologyProfessor Bet365 Kai
Reporting location:Messagefloor114Conference Room
Bet365 time:2024year8month24Day (weeksix）下注noon3points
Bet365 title:Towards Bet365: Challenges and Opportunities
Personal introduction: Bet365 Kai, Professor, Department of Computer Science and Engineering, Hong Kong Bet365 of Science and Technology，Intelligent Network and System Laboratory(iSING Lab)Bet365, HKUST-Director of Inspur Advanced Cloud Intelligent Technology Joint Laboratory, Hong Kong Bet365 of Science and Technology-Director of WeChat Artificial Intelligence Technology Joint Laboratory, Hong Kong Bet365 of Science and Technology-Deputy Director of China Unicom Joint Laboratory, Bet365 KongRGCChief Scientist of Theme Bet365 Program。Mainly engaged in data center networking、High performance network、Bet365Bet365 on computing power networks, machine learning systems, etc., on many occasionsACM SIGCOMM, USENIX NSDI/OSDI, IEEE/ACM TONPublished articles in top international Bet365 conferences and journals, GetIEEE ICNP 2023Best Paper Bet365 andACM SIGCOMM 2010Best Paper Nomination Bet365, served asSIGCOMM, NSDI, EuroSys, TONProgrammer and editorial board member of other international conferences and journals，is an Asia Pacific webinarAPNetInitiator and Steering Committee Chairman.
Abstract:The ever-growing AI and ML workloads present unprecedented challenges as well as opportunities for designing Bet365 for AI clusters. In this presentation, I will first talk about the special characteristics of communication with the distributed AI/ML training and then discuss how to explore these characteristics in designing next-generation network architecture and protocols for AI and ML workloads.
Reporter:Researcher Bet365 Kai, Chinese Academy of Sciences
Reporting location:Messagefloor114Conference Room
Bet365 time:2024year8month24Day (weeksix）下注noon4points
Bet365 title:Large Model Bet365: Opportunities and Challenges
Personal introduction: Bet365 Kai，National leading talents in science and technology innovation，Researcher at the Institute of Information Technology, Chinese Academy of Sciences、Doctoral Supervisor，Director of Frontier Innovation and Science and Education Integration Center，Director of the Editorial Department of "Journal of Information Security"。Won the Young Scientist Award of the Chinese Academy of Sciences、CCF-IEEE CSYoung Scientist Award、Beijing Science and Bet365 Award for Outstanding Youth Zhongguancun Award、NASACYouth Software Innovation Award、Beijing “Outstanding Youth” Fund、Beijing Zhiyuan Young Scientist and many other honors。Main research areas include system Bet365、Artificial Intelligence Bet365。atIEEE S&P、USENIX Bet365、ACM CCS、NDSS、ICSEPublished Bet365 papers at high-level conferences and journals in the field of information security200Multiple articles。Presided over a major research project of the National Natural Bet365 Foundation、Key projects, etc.。
Abstract:The emergence of large models has had an important impact on Bet365 research。On the one hand, it can empower traditional offensive and defensive methods，Make it smarter and more efficient；On the other hand，its own Bet365 issues，such as"Jailbreak" problem、"Illusion" problem、Privacy issues, etc.，Also raises concerns when using large models。This Bet365 will focus on these two aspects，Focus on how to use large models to empower traditional security offense and defense，We will also talk about the safety issues of the large model itself, etc.。
