Code Smarter, Not Harder: Harnessing Generative AI for Research Programming Efficiency

About: Generative AI is revolutionizing the landscape of research by enabling unprecedented levels of automation and innovation, and facilitating major breakthroughs across all research fields. To equip researchers with the necessary skills to transform their research with generative AI, the Michigan Institute for Data Science and the Michigan AI Laboratory jointly offered a series of tutorials in the Fall of 2023, sessions consisting of lectures and hands-on demonstrations by U-M experts to train researchers in using generative AI for improving research workflows, coding, building custom models and more.
"Code Smarter, Not Harder: Harnessing Generative AI for Research Programming Efficiency" - Dr. Qiyuan Zhao, Research Fellow, Medicinal Chemistry, College of Pharmacy

[@stevenmcculloch5727]

Too quiet!