了解ADSPR最新资讯与学术动态Follow the latest ADSPR news and academic updates
协会首次系统性地对全球数字科学研究态势进行全景式梳理,涵盖人工智能、数据科学、网络安全等六大核心方向,为学术界与产业界提供权威参考。For the first time, the Association has systematically and panoramically reviewed global digital science research trends, covering six core directions including artificial intelligence, data science, and cybersecurity, and providing an authoritative reference for academia and industry.
本届评选首次在"网络安全贡献奖"下新增"AI安全贡献奖"子类别,回应人工智能安全这一全球热点议题,申报截止日期为2025年8月31日。For the first time, this edition adds an "AI Security Contribution Award" subcategory under the "Cybersecurity Contribution Award", responding to the global focus on artificial intelligence safety. The application deadline is August 31, 2025.
随着NIST后量子密码标准的正式发布,协会组织专题研讨,探讨企业和机构如何制定切实可行的密码迁移策略,应对量子计算对现有加密体系的潜在威胁。With the official release of NIST post-quantum cryptography standards, the Association organized a special seminar to discuss how enterprises and institutions can formulate practical cryptographic migration strategies and respond to the potential threat that quantum computing poses to existing encryption systems.
双方将在学术资源共享、联合课题研究、人才交流和联合出版四个维度开展深度合作,推动亚欧数字科学学术网络的互联互通。The two parties will conduct in-depth cooperation in four dimensions: academic resource sharing, joint research projects, talent exchange, and joint publication, promoting interconnection across Asian and European digital science academic networks.
协会发布专题报告,分析边缘AI技术的最新发展趋势,探讨在物联网、自动驾驶、智慧医疗等场景下边缘智能的落地路径与技术挑战。The Association released a special report analyzing the latest development trends in edge AI technology and exploring implementation paths and technical challenges for edge intelligence in scenarios such as IoT, autonomous driving, and smart healthcare.
协会数智研究院联合专家顾问委员会,正式启动AI治理与伦理专题研究,重点关注算法透明度、数据隐私保护和AI决策公平性三大议题。The Association's Digital Science Research Institute, together with the Expert Advisory Committee, has officially launched special research on AI governance and ethics, focusing on three major issues: algorithmic transparency, data privacy protection, and fairness in AI decision-making.