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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