no code implementations • 8 Nov 2023 • Oluwamayowa O. Amusat, Harshad Hegde, Christopher J. Mungall, Anna Giannakou, Neil P. Byers, Dan Gunter, Kjiersten Fagnan, Lavanya Ramakrishnan
In this paper, we present two novel automated text labeling approaches for the validation of ML-generated metadata for unlabeled texts, with specific applications in environmental genomics.
no code implementations • 14 Oct 2022 • Hector Garcia Martin, Tijana Radivojevic, Jeremy Zucker, Kristofer Bouchard, Jess Sustarich, Sean Peisert, Dan Arnold, Nathan Hillson, Gyorgy Babnigg, Jose Manuel Marti, Christopher J. Mungall, Gregg T. Beckham, Lucas Waldburger, James Carothers, Shivshankar Sundaram, Deb Agarwal, Blake A. Simmons, Tyler Backman, Deepanwita Banerjee, Deepti Tanjore, Lavanya Ramakrishnan, Anup Singh
Self-driving labs (SDLs) combine fully automated experiments with artificial intelligence (AI) that decides the next set of experiments.