Posts tagged with machine learning

The University of Michigan (U-M) Library’s Library Information Technology (LIT) Division has collaborated with the Institutional Data Initiative (IDI) at the Harvard Law School Library. This joint pilot project reprocessed the U-M Library's Proceedings of the University of Michigan Board of Regents digital collection, which consisted of more than 55,000 scanned pages from 71 volumes, using the latest AI technologies. The team has produced three datasets with AI enhancements for better accessibility, browsability, and findability. The datasets, processing pipeline, and technical report are all openly available without restriction at the U-M Deep Blue Data Repository, ICPSR, Hugging Face, and arXiv for researchers and scholars worldwide.

In this interview, Anja Sheppard, Ph.D. Candidate in Robotics, describes her research with the Field Robotics Group and why she decided to share his data set entitled "Machine Learning for Shipwreck Segmentation from Side Scan Sonar Imagery: Dataset and Benchmark" in Deep Blue Data.

In this interview, Dr. Brandon Ponder, Ph.D., describes his research as a graduate student in the Climate and Space Sciences and Engineering Department and why he decided to share his data set entitled "The Venus Global Ionosphere-Thermosphere Model (V-GITM): A Coupled Thermosphere and Ionosphere Formulation" in Deep Blue Data.

Review of workshop on artificial neural networks and computer vision.