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Following the explosion of tools like ChatGPT, the use of artificial intelligence seems to be everywhere. But what exactly does it mean for the world of scientific discovery? This presentation aims to unravel the complexity surrounding AI's role in scientific processes, shedding light on how algorithms and machine learning have become critical tools for researchers.
Presenters will share real-world examples showcasing AI's integration with traditional scientific methods and highlight the critical leadership role Argonne is playing in framing ethical use.
By explaining the technical aspects, ethical considerations, and practical applications, this presentation will demystify the relationship between AI and science, fostering a deeper understanding of the innovative landscape that lies ahead for scientific discovery.
FEATURED SPEAKERS
Ian Foster Introductory Remarks
Director, Data Science and Learning division
Argonne National Laboratory
Mathew Cherukara
Computational Scientist
Argonne National Laboratory
Arvind Ramanathan
Computational Biologist
Argonne National Laboratory
Casey Stone
Computational Scientist
Argonne National Laboratory
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