Our goal is to bring artificial intelligence (AI) to the Penn community and beyond for easy and intuitive computational analysis of data for classification and regression using automated machine learning (AutoML). Central to the PennAI system is a database for storing machine learning results and an adaptive AI algorithm that learns from prior results to suggest or automatically launch new analyses on your data. PennAI is open-source, user-friendly, and free to use. We have a working version of the software and are in the process of adding the features necessary to provide PennAI as a service to Penn investigators. We expect to launch PennAI before the end of 2017. An open-source version of PennAI will be posted on GitHub sometime after the launch. More information can be found in our preprint and on the PennAI website. We have had some recent press about PennAI.
PennAI is free to use by any investigator at Penn. There may be additional costs if assisted by one of the IBI cores. PennAI will use cloud services to run machine learning analyses. Users will pay directly for cloud usage through their own Amazon or Microsoft account.
Jason Moore, PhD
Institute for Biomedical Informatics, University of Pennsylvania
D202 Richards, 3700 Hamilton Walk, Philadelphia, PA 19104-6113
email: jhmoore upenn edu