POTNet targets faithful synthetic data; Mizzou explores rewritable DNA storage

A University of Rhode Island talk highlights POTNet, a penalized optimal transport generative model positioned to produce faithful synthetic data while avoiding mode collapse seen in Wasserstein GANs. Separately, University of Missouri researchers describe work on rewritable synthetic DNA as a high-density, long-term data storage medium.