Phys.Org (Isle of Man, Nov. 11) -- A new machine-learning simulation system developed at Illinois promises cosmologists an expanded suite of galaxy models – a necessary first step to developing more accurate and relevant insights into the formation of the universe. The feasibility of this method has been laid out in two recent papers written by astronomy, physics, and statistics professor Robert Brunner, his undergraduate student Harshil Kamdar, and National Center for Supercomputing Applications research scientist Matthew Turk. Also: Space Daily (Pasadena, Calif., Nov. 15).