What do you get when you mix fire's power, electricity's reach, math's precision, and language's connection? AI—humanity's ...
Abstract: Text-to-image diffusion models have shown powerful ability on conditional image synthesis. With large-scale vision-language pre-training, diffusion models are able to generate high-quality ...
Deep learning methods to detect and mitigate bias have revolved around modifying models, optimization strategies, and threshold calibration with varying levels of success and tradeoffs. However, there ...
Abstract: The implicit Finite-Difference Time-Domain (FDTD) methods represent a class of algorithms that alleviate or even eliminate the Courant–Friedrich-Lev (CFL) stability condition inherent in ...