Core Insights - The 16th IEEE Cloud Computing Technology and Science International Conference (CloudCom2025) was recently held in Shenzhen, hosted by Shenzhen North University of Moscow, attracting over 200 top scholars, academicians, and industry experts to discuss advancements in cloud computing, edge computing, big data, and security privacy [1][2] Group 1: Key Presentations - Professor Abdallah Shami from Western University, Canada, delivered a keynote on "Automated Network Intelligence: Driving 5G and Future Development," emphasizing the critical role of artificial intelligence in the evolution of 5G and future networks [1] - Professor Xu Ke from Tsinghua University presented on "Secure Internet Architecture and Key Technologies," sharing forward-looking ideas for building safer and more reliable network architectures [1] - Academician Gong Jianya from Wuhan University discussed "Challenges and Thoughts on Intelligent Interpretation of Remote Sensing," highlighting the application and development trends of remote sensing technology in intelligent interpretation [1] - Academician Weihua Zhuang from the University of Waterloo focused on "6G Intelligent Network Management," exploring new opportunities and challenges in network management in the 6G era [1] Group 2: Additional Expert Contributions - The conference featured presentations from experts such as Professor Li Nan from the National University of Defense Technology, Professor Duan Lingjie from Hong Kong University of Science and Technology (Guangzhou), Professor Chen Jiachao from Sun Yat-sen University, and Professor Xu Ruifeng from Harbin Institute of Technology (Shenzhen), covering topics like 6G semantic communication, human-machine feedback learning, and AI applications in Web3 finance [2] - Over the three-day conference, multiple parallel sessions were held, addressing popular fields such as cloud scheduling optimization, federated edge learning, 5G and AI security, intelligent IoT, and large language models, discussing specific technical issues like emotion recognition, drone resource allocation, digital twins, and task offloading [2]

Core Insights - Vivo showcased its advancements in operating systems and artificial intelligence at the 2025 Developer Conference, marking its 30th anniversary [1] - The company introduced a 30 billion parameter edge-based multimodal inference model designed for local AI tasks, enhancing personalized services [1] - Vivo's new OriginOS 6 achieved significant breakthroughs in system smoothness and stability, becoming the first OS to receive dual smoothness certification [2] Group 1: Operating Systems - OriginOS 6 features the self-developed "Blue River Smooth Engine," improving system performance through deep restructuring of computing, storage, and display modules [2] - The system can achieve stable output of 120 frames in "Honor of Kings" and will debut on the upcoming X300 and iQOO 15 flagship models [2] - BlueOS 3, aimed at AI-native devices, is fully written in Rust for enhanced security and will first be used in vivo WATCH GT 2, offering up to 33 days of battery life [2] Group 2: AI and Security - Vivo's "Blue Heart" AI framework allows for precise user intent understanding and proactive service delivery, such as automatic photo editing based on user habits [1] - The company introduced a "Six-Dimensional Security Paradigm" covering the entire AI lifecycle and became the first domestic tech firm to join the C2PA content authenticity alliance [3] - Vivo's office suite for iPad marks its position as the first company to achieve interoperability with Apple's ecosystem [3]