高级检索
Artificial intelligence will play an increasingly more prominent role in scientific research ecosystems, and will become indispensable as more interdisciplinary science questions are tackled. While in recent years computers have propelled science by crunching through data and leading to a data science revolution, qualitatively different scientific advances will result from advanced intelligent technologies for crunching through knowledge and ideas. In this talk, I propose the development of intelligent systems that can be collaborators and partners for scientists, and discuss its potential for accelerating scientific discovery in world-wide collaborations.
[Artificial Intelligence, intelligent systems, scientific research ecosystems]
Yolanda Gil
Artificial intelligence will play an increasingly more prominent role in scientific research ecosystems, and will become indispensable as more interdisciplinary science questions are tackled. While in recent years computers have propelled science by crunching through data and leading to a data science revolution, qualitatively different scientific advances will result from advanced intelligent technologies for crunching through knowledge and ideas. In this talk, I propose the development of intelligent systems that can be collaborators and partners for scientists, and discuss its potential for accelerating scientific discovery in world-wide collaborations.
[Artificial Intelligence, intelligent systems, scientific research ecosystems]
Yolanda Gil
495会员权益
Improving Computer Science Undergraduate Education for the digital transformation
从工程科学视角看计算机系统中的规律
开放创新，多样性计算为数字化提供持续动能
【大会论坛】数字化转型的开源之路
量子计算机发展状况
从可信计算到机密计算
Artificial Intelligence for Scientific Discoveries through World-Wide Collaborations
科幻电影中的人工智能
产业数字化转型中的视觉智能规模实战——从算法到平台到系统
编程方法论的思考
软件开发范式的变革
人工智能赋能生物技术数字化转型：以个体化癌症免疫治疗为例
科技助残 信息无障
智能+工业互联网，助力产业智能化升级
【大会论坛】数据治理：数字化转型的核心要素-杜小勇
【大会论坛】数据治理：数字化转型的核心要素-许建峰
【大会论坛】数据治理：数字化转型的核心要素-周傲英
【大会论坛】数据治理：数字化转型的核心要素-毛基业
【大会论坛】数据治理：数字化转型的核心要素 Panel
Artificial intelligence will play an increasingly more prominent role in scientific research ecosystems, and will become indispensable as more interdisciplinary science questions are tackled. While in recent years computers have propelled science by crunching through data and leading to a data science revolution, qualitatively different scientific advances will result from advanced intelligent technologies for crunching through knowledge and ideas. In this talk, I propose the development of intelligent systems that can be collaborators and partners for scientists, and discuss its potential for accelerating scientific discovery in world-wide collaborations.
显示全部共0条评论
京公网安备 11010802032778号
评论
共0条评论